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Decision and Control","address":"Maui, Hawaii", "year": "2003", "url": "https://doi.org/10.1109/CDC.2003.1272672", "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"} ], "pages": "851-856", "shorttitle" : "A BMI Optimization Approach to Robust Output-Feedback Control", "file" : "x:/Bibfiles/KanSch02.pdf", "endnotereftype" : "Conference Proceedings", "bibtexKey": "KanSch03" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2dba6cbda97004e881723cad11909d854/carsten.scherer", "tags" : [ "robust","peerReviewed","imng" ], "intraHash" : "dba6cbda97004e881723cad11909d854", "interHash" : "23b73452b2affee738d81d1d2d43d03b", "label" : "Relaxations for robust linear matrix inequality problems with verifications for exactness", "user" : "carsten.scherer", "description" : "", "date" : "2021-12-07 20:40:52", "changeDate" : "2021-12-07 19:40:52", "count" : 4, "pub-type": "article", "journal": "SIAM J. Matrix Anal. A.", "year": "2005", "url": "https://doi.org/10.1137/S0895479803430953", "author": [ "C. W. Scherer" ], "authors": [ {"first" : "C. W.", "last" : "Scherer"} ], "volume": "27","number": "2","pages": "365-395", "shorttitle" : "Relaxations for robust linear matrix inequality problems with verifications for exactness", "file" : "scherer/sch05.pdf::Djvu;HolSch05.pdf:Scherer\\\\HolSch05.pdf:PDF", "endnotereftype" : "Journal Article", "bibtexKey": "Sch05" } , { "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/244761cbc79b03531d61a698163675d72/ist_bib", "tags" : [ "Economic","disturbances","Robust","predictive","Stochastic","control,","model" ], "intraHash" : "44761cbc79b03531d61a698163675d72", "interHash" : "3f7b1054dec22734f21e17afb2d7a8de", "label" : "On optimal system operation in robust economic MPC", "user" : "ist_bib", "description" : "", "date" : "2021-05-18 15:30:24", "changeDate" : "2021-05-18 13:32:10", "count" : 3, "pub-type": "article", "journal": "Automatica", "year": "2018", "url": "http://www.sciencedirect.com/science/article/pii/S0005109817305484", "author": [ "Florian A. Bayer","Matthias A. Müller","Frank Allgöwer" ], "authors": [ {"first" : "Florian A.", "last" : "Bayer"}, {"first" : "Matthias A.", "last" : "Müller"}, {"first" : "Frank", "last" : "Allgöwer"} ], "volume": "88","pages": "98 - 106", "issn" : "0005-1098", "doi" : "https://doi.org/10.1016/j.automatica.2017.11.007", "bibtexKey": "ist:bayer18a" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2dcb21103437cb4ebf80c756eaf9ef3c3/hermann", "tags" : [ "disturbances}","Robust","{Economic","control;","predictive","Stochastic","model" ], "intraHash" : "dcb21103437cb4ebf80c756eaf9ef3c3", "interHash" : "b689c53efff9b074185e5894e0685f79", "label" : "Robust economic Model Predictive Control using stochastic information", "user" : "hermann", "description" : "", "date" : "2017-05-18 11:32:12", "changeDate" : "2017-05-18 09:32:12", "count" : 1, "pub-type": "article", "journal": "AUTOMATICA","publisher":"PERGAMON-ELSEVIER SCIENCE LTD","address":"THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND", "year": "{2016}", "url": "", "author": [ "Florian A. Bayer","Matthias Lorenzen","Matthias A. Mueller","Frank Allgoewer" ], "authors": [ {"first" : "Florian A.", "last" : "Bayer"}, {"first" : "Matthias", "last" : "Lorenzen"}, {"first" : "Matthias A.", "last" : "Mueller"}, {"first" : "Frank", "last" : "Allgoewer"} ], "volume": "74","pages": "151-161","abstract": "In this paper, we develop a new tube-based robust economic MPC scheme\n for linear time-invariant systems subject to bounded disturbances with\n given distributions. By using the error distribution in the predictions\n of the finite horizon optimal control problem, we can incorporate\n stochastic information in order to improve the expected performance\n while being able to guarantee strict feasibility. For this new\n framework, we can provide bounds on the asymptotic average performance\n of the closed-loop system. Moreover, a constructive approach is\n presented in order to find an appropriate terminal cost leading to a\n slight degradation of the bound on the guaranteed average performance.\n (C) 2016 Elsevier Ltd. All rights reserved.", "author-email" : "bayer@ist.uni-stuttgart.de\n lorenzen@ist.uni-stuttgart.de\n mueller@ist.uni-stuttgart.de\n allgower@ist.uni-stuttgart.de", "issn" : "0005-1098", "keywords-plus" : "CONSTRAINED LINEAR-SYSTEMS; RECEDING HORIZON CONTROL; TERMINAL COST;\n DISTURBANCES; STABILITY; SET", "funding-acknowledgement" : "German Research Foundation (DFG) [MU3929/1-1, AL 316/12-1]; Cluster of\n Excellence in Simulation Technology at the University of Stuttgart\n [EXC 310/2]; Baden-Wurttemberg Stiftung", "research-areas" : "Automation & Control Systems; Engineering", "eissn" : "1873-2836", "number-of-cited-references" : "33", "affiliation" : "Bayer, FA (Reprint Author), Univ Stuttgart, Inst Syst Theory & Automat Control, D-70550 Stuttgart, Germany.\n Bayer, Florian A.; Lorenzen, Matthias; Mueller, Matthias A.; Allgoewer, Frank, Univ Stuttgart, Inst Syst Theory & Automat Control, D-70550 Stuttgart, Germany.", "web-of-science-categories" : "Automation & Control Systems; Engineering, Electrical & Electronic", "language" : "English", "funding-text" : "The authors would like to thank the German Research Foundation (DFG) for\n financial support of the project within the research grants MU3929/1-1\n and AL 316/12-1 as well as within the Cluster of Excellence in\n Simulation Technology (EXC 310/2) at the University of Stuttgart.\n Matthias A. Muller is also indebted to the Baden-Wurttemberg Stiftung\n for the financial support of this research project by the Eliteprogramme\n for Postdocs.", "times-cited" : "0", "doi" : "10.1016/j.automatica.2016.08.008", "bibtexKey": "ISI:000389087200019" } ] }