{ "types" : { "Bookmark" : { "pluralLabel" : "Bookmarks" }, "Publication" : { "pluralLabel" : "Publications" }, "GoldStandardPublication" : { "pluralLabel" : "GoldStandardPublications" }, "GoldStandardBookmark" : { "pluralLabel" : "GoldStandardBookmarks" }, "Tag" : { "pluralLabel" : "Tags" }, "User" : { "pluralLabel" : "Users" }, "Group" : { "pluralLabel" : "Groups" }, "Sphere" : { "pluralLabel" : "Spheres" } }, "properties" : { "count" : { "valueType" : "number" }, "date" : { "valueType" : "date" }, "changeDate" : { "valueType" : "date" }, "url" : { "valueType" : "url" }, "id" : { "valueType" : "url" }, "tags" : { "valueType" : "item" }, "user" : { "valueType" : "item" } }, "items" : [ { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/22bace7d849cb7df0a214c4c9400a9d14/carsten.scherer", "tags" : [ "quadratic","control","imng","constraints","uncertain","integral","systems","EXC310","pn4","peerReviewed","feedforward" ], "intraHash" : "2bace7d849cb7df0a214c4c9400a9d14", "interHash" : "89f278d9dad4c78f153994958230fb15", "label" : "Robust $L_2$-gain feedforward control of uncertain systems using dynamic IQCs", "user" : "carsten.scherer", "description" : "", "date" : "2021-12-07 20:40:52", "changeDate" : "2021-12-07 19:40:52", "count" : 4, "pub-type": "article", "journal": "Int. J. Robust Nonlin.", "year": "2009", "url": "https://doi.org/10.1002/rnc.1374", "author": [ "I. E. Kose","C. W. Scherer" ], "authors": [ {"first" : "I. E.", "last" : "Kose"}, {"first" : "C. W.", "last" : "Scherer"} ], "volume": "19","number": "11","pages": "1224-1247","abstract": "We consider the problem of robust L(2)-gain disturbance feedforward control for uncertain systems described in the standard LFT form. We use integral quadratic constraints (IQCs) for describing the uncertainty blocks in the system. For technical reasons related to the feedforward problem, throughout the paper, we work with the duals of the constraints involved in robustness analysis using IQCs. We obtain a convex solution to the problem using a state-space characterization of nominal stability that we have developed recently. Specifically, our solution consists of LMI conditions for the existence of a feedforward controller that guarantees a given L(2)-gain for the closed-loop system. We demonstrate the effectiveness of using dynamic IQCs in robust feedforward design through a numerical example. Copyright (C) 2008 John Wiley & Sons, Ltd.", "shorttitle" : "Robust L(2)-gain feedforward control of uncertain systems using dynamic IQCs", "file" : "://000267636600002", "issn" : "1049-8923", "endnotereftype" : "Journal Article", "bibtexKey": "KosSch09a" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2ca59f2f52bcc5a1a370fa054c25f4acd/carsten.scherer", "tags" : [ "forecasts","current","achievements","peerReviewed","problems","control","recent","imng","trends","key","theory" ], "intraHash" : "ca59f2f52bcc5a1a370fa054c25f4acd", "interHash" : "3d3b2040131f93b9aa77bbada036ebbf", "label" : "Theory, algorithms and technology in the design of control systems", "user" : "carsten.scherer", "description" : "", "date" : "2021-12-07 20:40:52", "changeDate" : "2021-12-07 19:40:52", "count" : 7, "pub-type": "article", "journal": "Annu. Rev. Control", "year": "2006", "url": "https://doi.org/10.1016/j.arcontrol.2006.01.006", "author": [ "R. Bars","P. Colaneri","C. E. de Souza","L. Dugard","F. Allgower","A. Kleimenov","C. W. Scherer" ], "authors": [ {"first" : "R.", "last" : "Bars"}, {"first" : "P.", "last" : "Colaneri"}, {"first" : "C. E.", "last" : "de Souza"}, {"first" : "L.", "last" : "Dugard"}, {"first" : "F.", "last" : "Allgower"}, {"first" : "A.", "last" : "Kleimenov"}, {"first" : "C. W.", "last" : "Scherer"} ], "volume": "30","number": "1","pages": "19-30","abstract": "Control theory deals with disciplines and methods leading to an automatic decision process in order to improve the performance of a control system. The evolution of control engineering is closely related to the evolution of the technology of sensors and actuators, and to the theoretical controller design methods and numerical techniques to be applied in real-time computing. New control disciplines, new development in the technologies will fertilize quite new control application fields. The status report gives an overview of the current key problems in control theory and design, evaluates the recent major accomplishments and forecasts some new areas. Challenges for future theoretical work are modelling, analysis and design of systems in quite new applications fields. New effective real-time optimal algorithms are needed for 2D and 3D pattern recognition. Design of very large distributed systems has presented a new challenge to control theory including robust control. Control over the networks becomes an important application area. Virtual reality is developing in impressive rate arising new theoretical problems. Distributed hybrid control systems involving extremely large number of interacting control loops, coordinating large number of autonomous agents, handling very large model uncertainties will be in the center of future research. New achievements in bioinformatics will result in new applications. All these challenges need development of new theories, analysis and design methods. (C) 2006 Elsevier Ltd. All rights reserved.", "shorttitle" : "Theory, algorithms and technology in the design of control systems", "file" : "://000240706500004", "issn" : "1367-5788", "endnotereftype" : "Journal Article", "bibtexKey": "BarCol06" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/250eb44f91950357cf988eb9394027e14/carsten.scherer", "tags" : [ "robust","multiobjective","synthesis","control","imng","feasibility","h-infinity","inequalities","bilinear","algorithms","formulas","linear-systems","global","h-2","matrix","uncertainty","output-feedback","optimization","design","parameter","peerReviewed","lmis","structured","dynamic","order" ], "intraHash" : "50eb44f91950357cf988eb9394027e14", "interHash" : "79b43995f394ecc9dbf6ddc0aa390ca5", "label" : "Robust output-feedback controller design via local BMI optimization", "user" : "carsten.scherer", "description" : "", "date" : "2021-12-07 20:40:52", "changeDate" : "2021-12-07 19:40:52", "count" : 4, "pub-type": "article", "journal": "Automatica", "year": "2004", "url": "https://doi.org/10.1016/j.automatica.2004.01.028", "author": [ "S. Kanev","C. W. Scherer","M. Verhaegen","B. De Schutter" ], "authors": [ {"first" : "S.", "last" : "Kanev"}, {"first" : "C. W.", "last" : "Scherer"}, {"first" : "M.", "last" : "Verhaegen"}, {"first" : "B.", "last" : "De Schutter"} ], "volume": "40","number": "7","pages": "1115-1127","abstract": "The problem of designing a globally optimal full-order output-feedback controller for polytopic uncertain systems is known to be a non-convex NP-hard optimization problem, that can be represented as a bilinear matrix inequality optimization problem for most design objectives. In this paper a new approach is proposed to the design of locally optimal controllers. It is iterative by nature, and starting from any initial feasible controller it performs local optimization over a suitably defined non-convex function at each iteration. The approach features the properties of computational efficiency, guaranteed convergence to a local optimum, and applicability to a very wide range of problems. Furthermore, a fast (but conservative) LMI-based procedure for computing an initially feasible controller is also presented. The complete approach is demonstrated on a model of one joint of a real-life space robotic manipulator. (C) 2004 Elsevier Ltd. All rights reserved.", "shorttitle" : "Robust output-feedback controller design via local BMI optimization", "file" : "://000221904200002", "issn" : "0005-1098", "endnotereftype" : "Journal Article", "bibtexKey": "KanSch04a" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2a00dbe6e94fbed05e1f65387e1cfa492/ist_bib", "tags" : [ "control;chance","stability;Numerical","processes;Uncertainty;Stochastic","control;randomized","Asymptotic","stability;Optimization;Predictive","predictive","control","horizon","constraints;constrained","control;discrete-time","stochastic","control;Robustness;Stochastic","model","systems;predictive","algorithms;receding" ], "intraHash" : "a00dbe6e94fbed05e1f65387e1cfa492", "interHash" : "c14944e4b706b9649e4b475979c37909", "label" : "Constraint-Tightening and Stability in Stochastic Model Predictive Control", "user" : "ist_bib", "description" : "", "date" : "2021-05-18 15:30:24", "changeDate" : "2021-05-18 13:32:10", "count" : 3, "pub-type": "article", "journal": "IEEE Trans. Automat. Control", "year": "2017", "url": "", "author": [ "Matthias Lorenzen","Fabrizio Dabbene","Roberto Tempo","Frank Allgöwer" ], "authors": [ {"first" : "Matthias", "last" : "Lorenzen"}, {"first" : "Fabrizio", "last" : "Dabbene"}, {"first" : "Roberto", "last" : "Tempo"}, {"first" : "Frank", "last" : "Allgöwer"} ], "volume": "62","number": "7","pages": "3165-3177", "issn" : "0018-9286", "doi" : "10.1109/TAC.2016.2625048", "bibtexKey": "ist:lorenzen17c" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2e23df4e16dd54b13d56b02506f48aca0/ist_bib", "tags" : [ "Load","frequency","control" ], "intraHash" : "e23df4e16dd54b13d56b02506f48aca0", "interHash" : "cc45a0ebe9d1838a4e01440214a7adae", "label" : "Distributed model predictive load frequency control of multi-area interconnected power system", "user" : "ist_bib", "description" : "", "date" : "2021-05-18 15:30:24", "changeDate" : "2021-05-18 13:32:10", "count" : 3, "pub-type": "article", "journal": "Int. J. Electrical Power & Energy Systems", "year": "2014", "url": "", "author": [ "M. Ma","H. Chen","X. Liu","F Allgöwer" ], "authors": [ {"first" : "M.", "last" : "Ma"}, {"first" : "H.", "last" : "Chen"}, {"first" : "X.", "last" : "Liu"}, {"first" : "F", "last" : "Allgöwer"} ], "volume": "62","pages": "289 - 298", "issn" : "0142-0615", "doi" : "http://dx.doi.org/10.1016/j.ijepes.2014.04.050", "bibtexKey": "ist:ma14a" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/285c6e9c824d74fdf0e755bbb5047f46b/ist_bib", "tags" : [ "without","predictive","control","terminal","constraints,","constrained","systems,","nonlinear","stochastic","control,","model","MPC" ], "intraHash" : "85c6e9c824d74fdf0e755bbb5047f46b", "interHash" : "4a17018254c269847067be31fd3a6270", "label" : "Stochastic Model Predictive Control without Terminal Constraints", "user" : "ist_bib", "description" : "", "date" : "2021-05-18 15:30:24", "changeDate" : "2021-05-18 13:32:10", "count" : 3, "pub-type": "article", "journal": "Int. J. Robust and Nonlinear Control", "year": "2017", "url": "", "author": [ "Matthias Lorenzen","Matthias A. Müller","Frank Allgöwer" ], "authors": [ {"first" : "Matthias", "last" : "Lorenzen"}, {"first" : "Matthias A.", "last" : "Müller"}, {"first" : "Frank", "last" : "Allgöwer"} ], "doi" : "10.1002/rnc.3912", "bibtexKey": "ist:lorenzen17e" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2268fd08fb2a0dcc444569615708a033c/ist_bib", "tags" : [ "systems.","Oscillators;Sociology;Statistics;Controllability;Limit-cycles;Diseases;Orbits;Systems","applications;Distributed","parameter","dynamics;Biological","biology;Emerging","control","systems;Cellular" ], "intraHash" : "268fd08fb2a0dcc444569615708a033c", "interHash" : "a418015f440cf4db7a1f447fce3dfa94", "label" : "Ensemble Controllability of Cellular Oscillators", "user" : "ist_bib", "description" : "", "date" : "2021-05-18 15:30:24", "changeDate" : "2021-05-18 13:32:10", "count" : 3, "pub-type": "article", "journal": "IEEE Control Systems Letters", "year": "2018", "url": "", "author": [ "K. Kuritz","S. Zeng","F. Allgöwer" ], "authors": [ {"first" : "K.", "last" : "Kuritz"}, {"first" : "S.", "last" : "Zeng"}, {"first" : "F.", "last" : "Allgöwer"} ], "volume": "3","number": "2","pages": "296-301", "doi" : "10.1109/LCSYS.2018.2870967", "bibtexKey": "ist:kuritz18d" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/269fdb36b26116381977474506b0776b5/ist_bib", "tags" : [ "programming;Switches;Convergence;Commutation;Adaptive","optimization","control;Optimization","algorithms;adaptive","control","algorithms;Optimization;Linear","maps;Approximation","algorithms;noncommutative","convergence;optimisation;derivative-free" ], "intraHash" : "69fdb36b26116381977474506b0776b5", "interHash" : "22462157c2bb594eb5737c5f1be394ec", "label" : "Derivative-Free Optimization Algorithms Based on Non-Commutative Maps", "user" : "ist_bib", "description" : "", "date" : "2021-05-18 15:30:24", "changeDate" : "2021-05-18 13:32:10", "count" : 5, "pub-type": "article", "journal": "IEEE Control Systems Letters", "year": "2018", "url": "", "author": [ "J. Feiling","A. Zeller","C. Ebenbauer" ], "authors": [ {"first" : "J.", "last" : "Feiling"}, {"first" : "A.", "last" : "Zeller"}, {"first" : "C.", "last" : "Ebenbauer"} ], "volume": "2","number": "4","pages": "743-748", "issn" : "2475-1456", "doi" : "10.1109/LCSYS.2018.2849596", "bibtexKey": "ist:feiling2018" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/213ebc4a8181233a87de80249e0a594eb/mariawirzberger", "tags" : [ "distraction","feedback","myown","cognition","training","attention","control" ], "intraHash" : "13ebc4a8181233a87de80249e0a594eb", "interHash" : "8cc82162cfd50441763115ea99d70af4", "label" : "How to navigate everyday distractions: Leveraging optimal feedback to train attention control", "user" : "mariawirzberger", "description" : "", "date" : "2020-08-16 17:44:17", "changeDate" : "2023-10-31 09:22:45", "count" : 3, "pub-type": "inproceedings", "booktitle": "Proceedings of the 42nd Annual Conference of the Cognitive Science Society","publisher":"Cognitive Science Society", "year": "2020", "url": "https://maria-wirzberger.de/wp-content/uploads/2020/07/Poster_Wirzberger_CogSci2020.pdf", "author": [ "Maria Wirzberger","Anastasia Lado","Lisa Eckerstorfer","Ivan Oreshnikov","Jean-Claude Passy","Adrian Stock","Amitai Shenhav","Falk Lieder" ], "authors": [ {"first" : "Maria", "last" : "Wirzberger"}, {"first" : "Anastasia", "last" : "Lado"}, {"first" : "Lisa", "last" : "Eckerstorfer"}, {"first" : "Ivan", "last" : "Oreshnikov"}, {"first" : "Jean-Claude", "last" : "Passy"}, {"first" : "Adrian", "last" : "Stock"}, {"first" : "Amitai", "last" : "Shenhav"}, {"first" : "Falk", "last" : "Lieder"} ], "editor": [ "Stephanie Denison","Michael Mack","Yang Xu","Blair C. Armstrong" ], "editors": [ {"first" : "Stephanie", "last" : "Denison"}, {"first" : "Michael", "last" : "Mack"}, {"first" : "Yang", "last" : "Xu"}, {"first" : "Blair C.", "last" : "Armstrong"} ], "pages": "1736","abstract": "To stay focused on their chosen tasks, people have to inhibit distractions. The underlying attention control skills can improve through reinforcement learning, which can be accelerated by giving feedback. We applied the theory of metacognitive reinforcement learning to develop a training app that gives people optimal feedback on their attention control while they are working or studying. In an eight-day field experiment with 99 participants, we investigated the effect of this training on people\u2019s productivity, sustained attention, and self-control. Compared to a control condition without feedback, we found that participants receiving optimal feedback learned to focus increasingly better (f = .08, p < .01) and achieved higher productivity scores (f = .19, p < .01) during the training. In addition, they evaluated their productivity more accurately (r = .12, p <.01). However, due to asymmetric attrition problems, these findings need to be taken with a grain of salt.", "bibtexKey": "wirzberger2020navigate" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2999aacad369b75667ccb969eebea8f2e/mariawirzberger", "tags" : [ "myown","cognition","AI","distractions","training","attention","control" ], "intraHash" : "999aacad369b75667ccb969eebea8f2e", "interHash" : "c2a484a78f675d7bf62914b062ccd685", "label" : "ACTrain: Ein KI-basiertes Aufmerksamkeitstraining für die Wissensarbeit", "user" : "mariawirzberger", "description" : "", "date" : "2020-03-20 16:22:37", "changeDate" : "2023-09-23 09:33:44", "count" : 2, "pub-type": "inproceedings", "booktitle": "Digitale Arbeit, digitaler Wandel, digitaler Mensch?. 66. Kongress der Gesellschaft für Arbeitswissenschaft","publisher":"Gesellschaft für Arbeitswissenschaft e.V.","address":"Berlin", "year": "2020", "url": "", "author": [ "Maria Wirzberger","Ivan Oreshnikov","Jean-Claude Passy","Anastasia Lado","Amitai Shenhav","Falk Lieder" ], "authors": [ {"first" : "Maria", "last" : "Wirzberger"}, {"first" : "Ivan", "last" : "Oreshnikov"}, {"first" : "Jean-Claude", "last" : "Passy"}, {"first" : "Anastasia", "last" : "Lado"}, {"first" : "Amitai", "last" : "Shenhav"}, {"first" : "Falk", "last" : "Lieder"} ], "editor": [ "Matthias Rötting","Linda Onnasch" ], "editors": [ {"first" : "Matthias", "last" : "Rötting"}, {"first" : "Linda", "last" : "Onnasch"} ], "pages": "C.8.8", "bibtexKey": "Wirzberger2020GfA" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2ee24311f62b2704e33bf0feb7bb2069a/karstenkuritz", "tags" : [ "law;ensemble","oscillators;Parkinson's","dynamics;biological","curve;phase","control","formulation;cellular","rhythms;feedback;neurophysiology;oscillations;oscillators;physiological","disease;cancer;heart","states;phase","distribution;Fourier","biology;emerging","response","system;regulatory","behavior;oscillatory","populations;phase","models;healthy","models;ensemble","controllability;cellular","Papers","distributions;population-level","mechanism;Oscillators;Sociology;Statistics;Controllability;Limit-cycles;Diseases;Orbits;Systems","diseases;phase","cancer;cellular","feedback","systems","systems;cellular","parameter","biophysics;circadian","applications;distributed","coefficients;oscillating" ], "intraHash" : "ee24311f62b2704e33bf0feb7bb2069a", "interHash" : "214a67cf1ccf0a66b1cdf33f6cd3a3c3", "label" : "Ensemble Controllability of Cellular Oscillators", "user" : "karstenkuritz", "description" : "", "date" : "2019-02-07 21:34:03", "changeDate" : "2019-02-07 20:34:03", "count" : 1, "pub-type": "article", "journal": "IEEE Control Systems Letters", "year": "2019", "url": "", "author": [ "K. Kuritz","S. Zeng","F. Allgöwer" ], "authors": [ {"first" : "K.", "last" : "Kuritz"}, {"first" : "S.", "last" : "Zeng"}, {"first" : "F.", "last" : "Allgöwer"} ], "volume": "3","number": "2","pages": "296-301", "issn" : "2475-1456", "doi" : "10.1109/LCSYS.2018.2870967", "bibtexKey": "kuritz18e" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/24a48320a55144e5de41b8899613eb3e0/mhartmann", "tags" : [ "Feedback","control","vorlaeufig" ], "intraHash" : "4a48320a55144e5de41b8899613eb3e0", "interHash" : "7d76e8038def559e45489301747640a9", "label" : "Reduced basis method for H2 optimal feedback control problems", "user" : "mhartmann", "description" : "", "date" : "2018-07-20 10:54:15", "changeDate" : "2018-07-20 08:54:15", "count" : 9, "pub-type": "article", "journal": "IFAC-PapersOnLine", "year": "2016", "url": "http://www.sciencedirect.com/science/article/pii/S240589631630670X", "author": [ "A. Schmidt","B. Haasdonk" ], "authors": [ {"first" : "A.", "last" : "Schmidt"}, {"first" : "B.", "last" : "Haasdonk"} ], "volume": "49","number": "8","pages": "327 - 332","note": "2nd IFAC Workshop on Control of Systems Governed by Partial Differential\n\tEquations CPDE 2016","abstract": "Abstract In this paper we examine the application of recently introduced\n\tparametric model reduction techniques to the \\H2\\ optimal feedback\n\tcontrol problem. The \\H2\\ control problem provides a realistic\n\tframework for control applications, since it considers disturbances\n\tin the system and in the measurement outputs. Furthermore it employs\n\tstate-estimation to reconstruct the unknown state from the noisy\n\tmeasurements. It turns out, that the controller is a dynamical system\n\tand two solutions of algebraic Riccati equations (AREs) are required\n\tto form it. We apply parametric model order reduction techniques\n\tto the \\AREs\\ and to the state equation of the observer and show\n\tby numerical examples, that this approach can yield a significant\n\tspeed-up in multi-query scenarios for large scale parametric problems\n\tfor the control of partial differential equations (PDE).", "issn" : "2405-8963", "owner" : "schmidta", "doi" : "http://dx.doi.org/10.1016/j.ifacol.2016.07.462", "bibtexKey": "schmidt2016reduced" } ] }