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         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/2cf82c2cba53516e9630c31dbf5760ea5/inspo5",         
         "tags" : [
            "biomechanics","analysis","endurance","estimation","fatigue","optimization","dynamics","parameter","sensitivity","time","first-order"
         ],
         
         "intraHash" : "cf82c2cba53516e9630c31dbf5760ea5",
         "interHash" : "f9d277a1e8c689ed9606efdfca787b8f",
         "label" : "Exhaustion of Skeletal Muscle Fibers Within Seconds: Incorporating Phosphate Kinetics Into a Hill-Type Model",
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         "journal": "Frontiers in Physiology","publisher":"Frontiers Media SA",
         "year": "2020", 
         "url": "https://doi.org/10.3389%2Ffphys.2020.00306", 
         
         "author": [ 
            "Robert Rockenfeller","Michael Günther","Norman Stutzig","Daniel F. B. Haeufle","Tobias Siebert","Syn Schmitt","Kay Leichsenring","Markus Böl","Thomas Götz"
         ],
         "authors": [
         	
            	{"first" : "Robert",	"last" : "Rockenfeller"},
            	{"first" : "Michael",	"last" : "Günther"},
            	{"first" : "Norman",	"last" : "Stutzig"},
            	{"first" : "Daniel F. B.",	"last" : "Haeufle"},
            	{"first" : "Tobias",	"last" : "Siebert"},
            	{"first" : "Syn",	"last" : "Schmitt"},
            	{"first" : "Kay",	"last" : "Leichsenring"},
            	{"first" : "Markus",	"last" : "Böl"},
            	{"first" : "Thomas",	"last" : "Götz"}
         ],
         
         "editor": [ 
            "Tobias Siebert"
         ],
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            	{"first" : "Tobias",	"last" : "Siebert"}
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         "volume": "11",
         "doi" : "10.3389/fphys.2020.00306",
         
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         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/2b9e0ef26b3072dde1659125d18d60b7c/carsten.scherer",         
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            "approach","lyapunov","functions","relaxations","imng","matrix","inequality","optimization","EXC310","pn4","peerReviewed","programs","dependent"
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         "intraHash" : "b9e0ef26b3072dde1659125d18d60b7c",
         "interHash" : "65da870d0bca9e82e2d000989caf405c",
         "label" : "Robust $l_1$ performance analysis for linear systems with parametric uncertainties",
         "user" : "carsten.scherer",
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         "date" : "2021-12-07 20:40:52",
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         "journal": "Int. J. Control",
         "year": "2008", 
         "url": "https://doi.org/10.1080/00207170701730451", 
         
         "author": [ 
            "J. M. Rieber","C. W. Scherer","F. Allgower"
         ],
         "authors": [
         	
            	{"first" : "J. M.",	"last" : "Rieber"},
            	{"first" : "C. W.",	"last" : "Scherer"},
            	{"first" : "F.",	"last" : "Allgower"}
         ],
         "volume": "81","number": "5","pages": "851-864","abstract": "In this contribution, a computational approach for analysing the robust e.-gain (or the robust l(1) performance) of uncertain linear systems is developed. In particular, the system's state-space matrices may have a rational dependence on structured parametric time-invariant or time-varying uncertainties. The computation is based on robust semi-definite programming and provides a trade-off between accuracy and computational effort. A novel matrix inequality condition to determine the star-norm of discrete-time systems is derived as an auxiliary result.",
         "shorttitle" : "Robust l(1) performance analysis for linear systems with parametric uncertainties",
         
         "file" : "<Go to ISI>://000255553000012",
         
         "endnotereftype" : "Journal Article",
         
         "bibtexKey": "RieSch08a"

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         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/250eb44f91950357cf988eb9394027e14/carsten.scherer",         
         "tags" : [
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         "interHash" : "79b43995f394ecc9dbf6ddc0aa390ca5",
         "label" : "Robust output-feedback controller design via local BMI optimization",
         "user" : "carsten.scherer",
         "description" : "",
         "date" : "2021-12-07 20:40:52",
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         "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" : "<Go to ISI>://000221904200002",
         
         "issn" : "0005-1098",
         
         "endnotereftype" : "Journal Article",
         
         "bibtexKey": "KanSch04a"

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         "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"
         ],
         
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         "label" : "Derivative-Free Optimization Algorithms Based on Non-Commutative Maps",
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         "date" : "2021-05-18 15:30:24",
         "changeDate" : "2021-05-18 13:32:10",
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         "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"

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