PUMA publications for /user/mst/exc2075https://puma.ub.uni-stuttgart.de/user/mst/exc2075PUMA RSS feed for /user/mst/exc20752024-03-29T16:19:09+01:00Combining Prior Knowledge and Data for Robust Controller Designhttps://puma.ub.uni-stuttgart.de/bibtex/2ef60659867547625c31f6ce7b9fd3a14/mstmst2024-03-12T12:08:32+01:00EXC2075 IMNG <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Julian Berberich" itemprop="url" href="/person/1155de16fad6cf040b9a1ac76d8eb8e84/author/0"><span itemprop="name">J. Berberich</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Carsten W. Scherer" itemprop="url" href="/person/1155de16fad6cf040b9a1ac76d8eb8e84/author/1"><span itemprop="name">C. Scherer</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Frank Allgower" itemprop="url" href="/person/1155de16fad6cf040b9a1ac76d8eb8e84/author/2"><span itemprop="name">F. Allgower</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">IEEE Transactions on Automatic Control</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">68 </span></span>(<span itemprop="issueNumber">8</span>):
<span itemprop="pagination">4618 - 4633</span></em> </span>(<em><span>2023<meta content="2023" itemprop="datePublished"/></span></em>)</span>Tue Mar 12 12:08:32 CET 2024{IEEE} Transactions on Automatic Control84618 - 4633Combining Prior Knowledge and Data for Robust Controller Design682023EXC2075 IMNG Enhancing the Guidance, Navigation and Control of Autonomous Parafoils using Machine Learning Methodshttps://puma.ub.uni-stuttgart.de/bibtex/2275f2d9c97253817f79705af48d1276e/mstmst2024-03-12T11:37:42+01:00EXC2075 PN4-3(II) PN4 <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Lukas Hewing" itemprop="url" href="/person/1e7d76ea9b0f0167ba73b2435360cf95c/author/0"><span itemprop="name">L. Hewing</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Dennis Gramlich" itemprop="url" href="/person/1e7d76ea9b0f0167ba73b2435360cf95c/author/1"><span itemprop="name">D. Gramlich</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Chris Verhoek" itemprop="url" href="/person/1e7d76ea9b0f0167ba73b2435360cf95c/author/2"><span itemprop="name">C. Verhoek</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Rafael Polonio" itemprop="url" href="/person/1e7d76ea9b0f0167ba73b2435360cf95c/author/3"><span itemprop="name">R. Polonio</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Joost Veenman" itemprop="url" href="/person/1e7d76ea9b0f0167ba73b2435360cf95c/author/4"><span itemprop="name">J. Veenman</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Carlos Ardura" itemprop="url" href="/person/1e7d76ea9b0f0167ba73b2435360cf95c/author/5"><span itemprop="name">C. Ardura</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Roland Tóth" itemprop="url" href="/person/1e7d76ea9b0f0167ba73b2435360cf95c/author/6"><span itemprop="name">R. Tóth</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Christian Ebenbauer" itemprop="url" href="/person/1e7d76ea9b0f0167ba73b2435360cf95c/author/7"><span itemprop="name">C. Ebenbauer</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Carsten Scherer" itemprop="url" href="/person/1e7d76ea9b0f0167ba73b2435360cf95c/author/8"><span itemprop="name">C. Scherer</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Valentin Preda" itemprop="url" href="/person/1e7d76ea9b0f0167ba73b2435360cf95c/author/9"><span itemprop="name">V. Preda</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Papers of ESA GNC-ICATT 2023</span>, </em></span><em><span itemprop="publisher">ESA</span>, </em>(<em><span>July 2023<meta content="July 2023" itemprop="datePublished"/></span></em>)</span>Tue Mar 12 11:37:42 CET 2024Papers of ESA GNC-ICATT 2023julESA GNC-ICATT 2023Enhancing the Guidance, Navigation and Control of Autonomous Parafoils using Machine Learning Methods2023EXC2075 PN4-3(II) PN4 IQC Based Analysis and Estimator Design for Discrete-Time Systems Affected by Impulsive Uncertaintieshttps://puma.ub.uni-stuttgart.de/bibtex/246c5431b9a8918f5f3c5443afd3d19a1/mstmst2024-03-12T10:24:02+01:00EXC2075 <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Tobias Holicki" itemprop="url" href="/person/12abe3505d644f4618ec5f859b07dcb10/author/0"><span itemprop="name">T. Holicki</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Carsten W. Scherer" itemprop="url" href="/person/12abe3505d644f4618ec5f859b07dcb10/author/1"><span itemprop="name">C. Scherer</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"> </span>(<em><span>December 2022<meta content="December 2022" itemprop="datePublished"/></span></em>)</span>Tue Mar 12 10:24:02 CET 2024decIQC Based Analysis and Estimator Design for Discrete-Time Systems Affected by Impulsive Uncertainties2022EXC2075 We propose novel quadratic performance tests for linear discrete-time impulsive systems based on viewing these systems as feedback interconnections of some non-impulsive linear system with an impulsive operator. In order to systematically analyze such interconnections, we employ the framework of integral quadratic constraints and propose novel constraints of this kind for capturing the behavior of the involved impulsive operator. As a major benefit, the modularity of this framework permits seamless extensions to interconnections affected by heterogeneous uncertainties in a straightforward fashion. This contrasts with alternative approaches which are based on capturing the system's impulsive behavior by means of a clock. Building upon the developed analysis criteria, we characterize the existence of non-impulsive estimators for such impulsive interconnections in a lossless fashion and in terms of linear matrix inequalities. Finally, our approach is illustrated by means of several numerical examples.Learning-enhanced robust controller synthesis with rigorous statistical and control-theoretic guaranteeshttps://puma.ub.uni-stuttgart.de/bibtex/2a8a52a65e476a5203a29acf3330a184b/mstmst2024-03-12T10:24:02+01:00PN4 EXC2075 IMNG <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Christian Fiedler" itemprop="url" href="/person/143a93d9b959414f2bdfa6b14df1fd2dd/author/0"><span itemprop="name">C. Fiedler</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Carsten W. Scherer" itemprop="url" href="/person/143a93d9b959414f2bdfa6b14df1fd2dd/author/1"><span itemprop="name">C. Scherer</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Sebastian Trimpe" itemprop="url" href="/person/143a93d9b959414f2bdfa6b14df1fd2dd/author/2"><span itemprop="name">S. Trimpe</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">60th IEEE Conf. Decision and Control (to appear)</span>, </em></span>(<em><span>2021<meta content="2021" itemprop="datePublished"/></span></em>)</span>Tue Mar 12 10:24:02 CET 202460th IEEE Conf. Decision and Control (to appear)Learning-enhanced robust controller synthesis with rigorous statistical and control-theoretic guarantees2021PN4 EXC2075 IMNG The combination of machine learning with control offers many opportunities, in particular for robust control. However, due to strong safety and reliability requirements in many real-world applications, providing rigorous statistical and control-theoretic guarantees is of utmost importance, yet difficult to achieve for learning-based control schemes. We present a general framework for learning-enhanced robust control that allows for systematic integration of prior engineering knowledge, is fully compatible with modern robust control and still comes with rigorous and practically meaningful guarantees. Building on the established Linear Fractional Representation and Integral Quadratic Constraints framework, we integrate Gaussian Process Regression as a learning component and state-of-the-art robust controller synthesis. In a concrete robust control example, our approach is demonstrated to yield improved performance with more data, while guarantees are maintained throughout.Algorithm Design and Extremum Control:Convex Synthesis due to Plant Multiplier Commutationhttps://puma.ub.uni-stuttgart.de/bibtex/2b8f3b3f590b273f4fda03bf23867703d/mstmst2024-03-12T10:24:02+01:00PN4 EXC2075 IMNG <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="T. Holicki" itemprop="url" href="/person/10d4bcef5834e1ce865f708187791380d/author/0"><span itemprop="name">T. Holicki</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="C.W. Scherer" itemprop="url" href="/person/10d4bcef5834e1ce865f708187791380d/author/1"><span itemprop="name">C. Scherer</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">60th IEEE Conf. Decision and Control (to appear)</span>, </em></span>(<em><span>2021<meta content="2021" itemprop="datePublished"/></span></em>)</span>Tue Mar 12 10:24:02 CET 202460th IEEE Conf. Decision and Control (to appear)Algorithm Design and Extremum Control:Convex Synthesis due to Plant Multiplier Commutation2021PN4 EXC2075 IMNG A Flexible Synthesis Framework of Structured Controllers for Networked Systemshttps://puma.ub.uni-stuttgart.de/bibtex/25e88afab15813774e79854675eb665ee/mstmst2024-03-12T10:24:01+01:00PN4-3 PN4 EXC2075 <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Christian A. Rösinger" itemprop="url" href="/person/1ee71c449f22d6d7323d814866fd90664/author/0"><span itemprop="name">C. Rösinger</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Carsten W. Scherer" itemprop="url" href="/person/1ee71c449f22d6d7323d814866fd90664/author/1"><span itemprop="name">C. Scherer</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">IEEE Trans. Control Netw. Syst.</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">7 </span></span>(<span itemprop="issueNumber">1</span>):
<span itemprop="pagination">6-18</span></em> </span>(<em><span>2020<meta content="2020" itemprop="datePublished"/></span></em>)</span>Tue Mar 12 10:24:01 CET 2024IEEE Trans. Control Netw. Syst.16-18A Flexible Synthesis Framework of Structured Controllers for Networked Systems72020PN4-3 PN4 EXC2075 Practical and Rigorous Uncertainty Bounds for Gaussian Process Regressionhttps://puma.ub.uni-stuttgart.de/bibtex/2dea37d5381a5344519d279967097e902/mstmst2024-03-12T10:23:59+01:00EXC2075 <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="C. Fiedler" itemprop="url" href="/person/1111705a68e25c07d79e51f7ec762d9ce/author/0"><span itemprop="name">C. Fiedler</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="C. W. Scherer" itemprop="url" href="/person/1111705a68e25c07d79e51f7ec762d9ce/author/1"><span itemprop="name">C. Scherer</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="S. Trimpe" itemprop="url" href="/person/1111705a68e25c07d79e51f7ec762d9ce/author/2"><span itemprop="name">S. Trimpe</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">Proceedings of the AAAI Conference on Artificial Intelligence</span>, </em></span><em> 35, </em><em>page <span itemprop="pagination">7439-7447</span>. </em>(<em><span>2021<meta content="2021" itemprop="datePublished"/></span></em>)</span>Tue Mar 12 10:23:59 CET 2024Proceedings of the AAAI Conference on Artificial Intelligence87439-7447Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression352021EXC2075 Stability analysis and output-feedback synthesis of hybrid systems affected by piecewise constant parameters via dynamic resetting scalingshttps://puma.ub.uni-stuttgart.de/bibtex/2435b7d0fb716a4f77d1157e7ccda91b8/mstmst2024-03-12T10:23:58+01:00PN4 EXC2075 IMNG <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Tobias Holicki" itemprop="url" href="/person/1cc4230cc295d51a0a96b182a04ca21b0/author/0"><span itemprop="name">T. Holicki</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Carsten W. Scherer" itemprop="url" href="/person/1cc4230cc295d51a0a96b182a04ca21b0/author/1"><span itemprop="name">C. Scherer</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Nonlinear Analysis: Hybrid Systems</span>, </em> </span>(<em><span>2019<meta content="2019" itemprop="datePublished"/></span></em>)</span>Tue Mar 12 10:23:58 CET 2024Nonlinear Analysis: Hybrid Systems179--208Stability analysis and output-feedback synthesis of hybrid systems affected by piecewise constant parameters via dynamic resetting scalings342019PN4 EXC2075 IMNG Synthesis of Accelerated Gradient Algorithms for Optimization and Saddle Point Problems using Lyapunov functionshttps://puma.ub.uni-stuttgart.de/bibtex/29f9e3046f56c3481e078bf0606f28226/mstmst2024-03-12T10:23:56+01:00PN4-3 PN4 EXC2075 <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Dennis Gramlich" itemprop="url" href="/person/15b4472847c14de83890cec5450738518/author/0"><span itemprop="name">D. Gramlich</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Christian Ebenbauer" itemprop="url" href="/person/15b4472847c14de83890cec5450738518/author/1"><span itemprop="name">C. Ebenbauer</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Carsten W. Scherer" itemprop="url" href="/person/15b4472847c14de83890cec5450738518/author/2"><span itemprop="name">C. Scherer</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Syst. Control Lett.</span>, </em> </span>(<em><span>2022<meta content="2022" itemprop="datePublished"/></span></em>)</span>Tue Mar 12 10:23:56 CET 2024Syst. Control Lett.Synthesis of Accelerated Gradient Algorithms for Optimization and Saddle Point Problems using Lyapunov functions1652022PN4-3 PN4 EXC2075 This paper considers the problem of designing accelerated gradient-based algorithms for optimization and saddle-point problems. The class of objective functions is defined by a generalized sector condition. This class of functions contains strongly convex functions with Lipschitz gradients but also non-convex functions, which allows not only to address optimization problems but also saddle-point problems. The proposed design procedure relies on a suitable class of Lyapunov functions and on convex semi-definite programming. The proposed synthesis allows the design of algorithms that reach the performance of state-of-the-art accelerated gradient methods and beyond.Convolutional Neural Networks as 2-D systemshttps://puma.ub.uni-stuttgart.de/bibtex/28064620aaaf8317f8230bf19ad0cca8b/mstmst2024-03-12T10:23:55+01:00PN4-3(II) PN4 EXC2075 <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Dennis Gramlich" itemprop="url" href="/person/1770011146f488997513a05d825b0878d/author/0"><span itemprop="name">D. Gramlich</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Patricia Pauli" itemprop="url" href="/person/1770011146f488997513a05d825b0878d/author/1"><span itemprop="name">P. Pauli</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Carsten W. Scherer" itemprop="url" href="/person/1770011146f488997513a05d825b0878d/author/2"><span itemprop="name">C. Scherer</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Frank Allgöwer" itemprop="url" href="/person/1770011146f488997513a05d825b0878d/author/3"><span itemprop="name">F. Allgöwer</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Christian Ebenbauer" itemprop="url" href="/person/1770011146f488997513a05d825b0878d/author/4"><span itemprop="name">C. Ebenbauer</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"> </span>(<em><span>March 2023<meta content="March 2023" itemprop="datePublished"/></span></em>)</span>Tue Mar 12 10:23:55 CET 2024marConvolutional Neural Networks as 2-D systems2023PN4-3(II) PN4 EXC2075 This paper introduces a novel representation of convolutional Neural Networks (CNNs) in terms of 2-D dynamical systems. To this end, the usual description of convolutional layers with convolution kernels, i.e., the impulse responses of linear filters, is realized in state space as a linear time-invariant 2-D system. The overall convolutional Neural Network composed of convolutional layers and nonlinear activation functions is then viewed as a 2-D version of a Lur'e system, i.e., a linear dynamical system interconnected with static nonlinear components. One benefit of this 2-D Lur'e system perspective on CNNs is that we can use robust control theory much more efficiently for Lipschitz constant estimation than previously possible.Gramian Optimization with Input-Power Constraintshttps://puma.ub.uni-stuttgart.de/bibtex/234dfab962c7b0cc4a240d17b70aa0cdf/mstmst2024-03-12T10:23:55+01:00EXC2075 <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="G. Baggio" itemprop="url" href="/person/16346535ca85916152e43bcb166d900aa/author/0"><span itemprop="name">G. Baggio</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="S. Zampieri" itemprop="url" href="/person/16346535ca85916152e43bcb166d900aa/author/1"><span itemprop="name">S. Zampieri</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="C. W. Scherer" itemprop="url" href="/person/16346535ca85916152e43bcb166d900aa/author/2"><span itemprop="name">C. Scherer</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">58th IEEE Conf. Decision and Control</span>, </em></span><em>page <span itemprop="pagination">5686-5691</span>. </em>(<em><span>2019<meta content="2019" itemprop="datePublished"/></span></em>)</span>Tue Mar 12 10:23:55 CET 202458th IEEE Conf. Decision and Control5686-5691Gramian Optimization with Input-Power Constraints2019EXC2075 A Structure Exploiting SDP Solver for Robust Controller Synthesishttps://puma.ub.uni-stuttgart.de/bibtex/2d488a3826016ed1c33a6be430ba4fcb5/mstmst2024-03-12T10:23:54+01:00PN4-3(II) PN4 EXC2075 <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Dennis Gramlich" itemprop="url" href="/person/119b517913fcb20a4757e31a46ce6f4a4/author/0"><span itemprop="name">D. Gramlich</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Tobias Holicki" itemprop="url" href="/person/119b517913fcb20a4757e31a46ce6f4a4/author/1"><span itemprop="name">T. Holicki</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Carsten W. Scherer" itemprop="url" href="/person/119b517913fcb20a4757e31a46ce6f4a4/author/2"><span itemprop="name">C. Scherer</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Christian Ebenbauer" itemprop="url" href="/person/119b517913fcb20a4757e31a46ce6f4a4/author/3"><span itemprop="name">C. Ebenbauer</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">IEEE Control Systems Letters</span>, </em> </span>(<em><span>2023<meta content="2023" itemprop="datePublished"/></span></em>)</span>Tue Mar 12 10:23:54 CET 2024{IEEE} Control Systems Letters1831--1836A Structure Exploiting {SDP} Solver for Robust Controller Synthesis72023PN4-3(II) PN4 EXC2075 Robust data-driven state-feedback designhttps://puma.ub.uni-stuttgart.de/bibtex/29c5ff8ded6cfcfe4ef021741dfe6bca2/mstmst2024-03-12T10:23:53+01:00PN4-3 PN4 EXC2075 IMNG <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Julian Berberich" itemprop="url" href="/person/1d756492f024dab05583b28c9390d245a/author/0"><span itemprop="name">J. Berberich</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Anne Koch" itemprop="url" href="/person/1d756492f024dab05583b28c9390d245a/author/1"><span itemprop="name">A. Koch</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Carsten W. Scherer" itemprop="url" href="/person/1d756492f024dab05583b28c9390d245a/author/2"><span itemprop="name">C. Scherer</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Frank Allgöwer" itemprop="url" href="/person/1d756492f024dab05583b28c9390d245a/author/3"><span itemprop="name">F. Allgöwer</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">2020 American Control Conference (ACC)</span>, </em></span><em>page <span itemprop="pagination">1532-1538</span>. </em>(<em><span>2020<meta content="2020" itemprop="datePublished"/></span></em>)</span>Tue Mar 12 10:23:53 CET 20242020 American Control Conference ({ACC})1532-1538Robust data-driven state-feedback design2020PN4-3 PN4 EXC2075 IMNG Output-Feedback Synthesis for a Class of Aperiodic Impulsive Systemshttps://puma.ub.uni-stuttgart.de/bibtex/26c6d05964eb36cd29484ae3c12403536/mstmst2024-03-12T10:23:53+01:00EXC2075 <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Tobias Holicki" itemprop="url" href="/person/1519ba68113b8d214584be8a8ea3fd1da/author/0"><span itemprop="name">T. Holicki</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Carsten W. Scherer" itemprop="url" href="/person/1519ba68113b8d214584be8a8ea3fd1da/author/1"><span itemprop="name">C. Scherer</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">IFAC-PapersOnline</span>, </em></span><em> 53, </em><em>page <span itemprop="pagination">7299-7304</span>. </em>(<em><span>2020<meta content="2020" itemprop="datePublished"/></span></em>)</span>Tue Mar 12 10:23:53 CET 2024{IFAC}-{P}apers{O}nline27299-7304Output-Feedback Synthesis for a Class of Aperiodic Impulsive Systems532020EXC2075 We derive novel criteria for designing stabilizing dynamic output-feedback controllers
for a class of aperiodic impulsive systems subject to a range dwell-time condition. Our synthesis conditions are formulated as clock-dependent linear matrix inequalities (LMIs) which can be solved numerically, e.g., by using matrix sum-of-squares relaxation methods. We show that our results allow us to design dynamic output-feedback controllers for aperiodic sample-data systems and illustrate the proposed approach by means of a numerical example.IQClab: A new IQC based toolbox for robustness analysis and control designhttps://puma.ub.uni-stuttgart.de/bibtex/297e9718a60effd78cfba4fd11cd9eef3/mstmst2024-03-12T10:23:51+01:00PN4-3 PN4 EXC2075 IMNG <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Joost Veenman" itemprop="url" href="/person/1f2af978bd21a0750752efedf4d1fbe99/author/0"><span itemprop="name">J. Veenman</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Carsten W. Scherer" itemprop="url" href="/person/1f2af978bd21a0750752efedf4d1fbe99/author/1"><span itemprop="name">C. Scherer</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Carlos Ardura" itemprop="url" href="/person/1f2af978bd21a0750752efedf4d1fbe99/author/2"><span itemprop="name">C. Ardura</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Samir Bennani" itemprop="url" href="/person/1f2af978bd21a0750752efedf4d1fbe99/author/3"><span itemprop="name">S. Bennani</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Valentin Preda" itemprop="url" href="/person/1f2af978bd21a0750752efedf4d1fbe99/author/4"><span itemprop="name">V. Preda</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Bénédicte Girouart" itemprop="url" href="/person/1f2af978bd21a0750752efedf4d1fbe99/author/5"><span itemprop="name">B. Girouart</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">IFAC-PapersOnline</span>, </em></span><em> 54, </em><em>page <span itemprop="pagination">69--74</span>. </em>(<em><span>2021<meta content="2021" itemprop="datePublished"/></span></em>)</span>Tue Mar 12 10:23:51 CET 2024{IFAC}-{P}apers{O}nline869--74{IQClab}: A new {IQC} based toolbox for robustness analysis and control design542021PN4-3 PN4 EXC2075 IMNG Combining Prior Knowledge and Data for Robust Controller Designhttps://puma.ub.uni-stuttgart.de/bibtex/2ee589d77eaadeb152fd9d9b6ea0ad9cb/mstmst2024-03-12T10:23:50+01:00PN4-3(II) PN4 EXC2075 IMNG <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Julian Berberich" itemprop="url" href="/person/1655d76bf3751e6fa4376550f1cad279d/author/0"><span itemprop="name">J. Berberich</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Carsten W. Scherer" itemprop="url" href="/person/1655d76bf3751e6fa4376550f1cad279d/author/1"><span itemprop="name">C. Scherer</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Frank Allgöwer" itemprop="url" href="/person/1655d76bf3751e6fa4376550f1cad279d/author/2"><span itemprop="name">F. Allgöwer</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"> </span>(<em><span>2020<meta content="2020" itemprop="datePublished"/></span></em>)</span>Tue Mar 12 10:23:50 CET 2024Combining Prior Knowledge and Data for Robust Controller Design2020PN4-3(II) PN4 EXC2075 IMNG We present a framework for systematically combining data of an unknown linear time-invariant system with prior knowledge on the system matrices or on the uncertainty for robust controller design. Our approach leads to linear matrix inequality (LMI) based feasibility criteria which guarantee stability and performance robustly for all closed-loop systems consistent with the prior knowledge and the available data. The design procedures rely on a combination of multipliers inferred via prior knowledge and learnt from measured data, where for the latter a novel and unifying disturbance description is employed. While large parts of the paper focus on linear systems and input-state measurements, we also provide extensions to robust output-feedback design based on noisy input-output data and against nonlinear uncertainties. We illustrate through numerical examples that our approach provides a flexible framework for simultaneously leveraging prior knowledge and data, thereby reducing conservatism and improving performance significantly if compared to black-box approaches to data-driven control.Dissipativity and Integral Quadratic Constraints, Tailored computational robustness tests for complex interconnectionshttps://puma.ub.uni-stuttgart.de/bibtex/28ca3017abe8623786d56edcbb7ae8b97/mstmst2024-03-12T10:23:47+01:00PN4-3 PN4 EXC2075 <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Carsten Scherer" itemprop="url" href="/person/128cbb2cf325d693fb90b3c813383bd3c/author/0"><span itemprop="name">C. Scherer</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">IEEE Control Systems Magazine</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">42 </span></span>(<span itemprop="issueNumber">3</span>):
<span itemprop="pagination">115-139</span></em> </span>(<em><span>2022<meta content="2022" itemprop="datePublished"/></span></em>)</span>Tue Mar 12 10:23:47 CET 2024IEEE Control Systems Magazine3115-139Dissipativity and Integral Quadratic Constraints, Tailored computational robustness tests for complex interconnections422022PN4-3 PN4 EXC2075 On the exactness of a stability test for Lur'e systems with slope-restricted nonlinearitieshttps://puma.ub.uni-stuttgart.de/bibtex/21dd98c43b3ce9b4ba8ec7d6a2efb46ae/mstmst2024-03-12T10:23:47+01:00PN4-3 PN4-3(II) EXC2075 <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Andrey Kharitenko" itemprop="url" href="/person/1bd8ea92422dad31503cd94e6d12137a4/author/0"><span itemprop="name">A. Kharitenko</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Carsten W. Scherer" itemprop="url" href="/person/1bd8ea92422dad31503cd94e6d12137a4/author/1"><span itemprop="name">C. Scherer</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">IEEE Transactions on Automatic Control</span>, </em> </span>(<em><span>2024<meta content="2024" itemprop="datePublished"/></span></em>)</span>Tue Mar 12 10:23:47 CET 2024IEEE Transactions on Automatic ControlOn the exactness of a stability test for Lur'e systems with slope-restricted nonlinearities2024PN4-3 PN4-3(II) EXC2075 In this note it is shown that the famous multiplier absolute stability test of R. O'Shea, G. Zames and P. Falb is necessary and sufficient if the set of Lur'e interconnections is lifted to a Kronecker structure and an explicit method to construct the destabilizing static nonlinearity is presented.Input-Output-Data-Enhanced Robust Analysis via Liftinghttps://puma.ub.uni-stuttgart.de/bibtex/2fe8c8f8cfc38ba0f617df3d2ed33006c/mstmst2024-03-12T10:23:44+01:00EXC2075 <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Tobias Holicki" itemprop="url" href="/person/12382f883fbdf0be50d4c5257cc15277a/author/0"><span itemprop="name">T. Holicki</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Carsten W. Scherer" itemprop="url" href="/person/12382f883fbdf0be50d4c5257cc15277a/author/1"><span itemprop="name">C. Scherer</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"> </span>(<em><span>November 2022<meta content="November 2022" itemprop="datePublished"/></span></em>)</span>Tue Mar 12 10:23:44 CET 2024novInput-Output-Data-Enhanced Robust Analysis via Lifting2022EXC2075 Starting from a linear fractional representation of a linear system affected by constant parametric uncertainties, we demonstrate how to enhance standard robust analysis tests by taking available (noisy) input-output data of the uncertain system into account. Our approach relies on a lifting of the system and on the construction of data-dependent multipliers. It leads to a test in terms of linear matrix inequalities which guarantees stability and performance for all systems compatible with the observed data if it is in the affirmative. In contrast to many other data-based approaches, prior physical knowledge is included at the outset due to the underlying linear fractional representation.Integral Quadratic Constraints on Linear Infinite-dimensional Systems for Robust Stability Analysishttps://puma.ub.uni-stuttgart.de/bibtex/2190d8e0992e0c8ca8daa21634a85a65d/mstmst2024-03-12T10:23:44+01:00PN4-3 PN4 EXC2075 <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="M. Barreau" itemprop="url" href="/person/13c78938f36bed830bb4584cf6e83aae4/author/0"><span itemprop="name">M. Barreau</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="C. W. Scherer" itemprop="url" href="/person/13c78938f36bed830bb4584cf6e83aae4/author/1"><span itemprop="name">C. Scherer</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="F. Gouaisbaut" itemprop="url" href="/person/13c78938f36bed830bb4584cf6e83aae4/author/2"><span itemprop="name">F. Gouaisbaut</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="A. Seuret" itemprop="url" href="/person/13c78938f36bed830bb4584cf6e83aae4/author/3"><span itemprop="name">A. Seuret</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">IFAC-PapersOnline</span>, </em></span><em> 53, </em><em>page <span itemprop="pagination">7752-7757</span>. </em>(<em><span>2020<meta content="2020" itemprop="datePublished"/></span></em>)</span>Tue Mar 12 10:23:44 CET 2024{IFAC}-{P}apers{O}nline27752-7757Integral Quadratic Constraints on Linear Infinite-dimensional Systems for Robust Stability Analysis532020PN4-3 PN4 EXC2075