{"cf82c2cba53516e9630c31dbf5760ea5inspo5":{"DOI":"10.3389/fphys.2020.00306","ISBN":"","ISSN":"","URL":"https://doi.org/10.3389%2Ffphys.2020.00306","abstract":"","annote":"","author":[{"family":"Rockenfeller","given":"Robert"},{"family":"Günther","given":"Michael"},{"family":"Stutzig","given":"Norman"},{"family":"Haeufle","given":"Daniel F. B."},{"family":"Siebert","given":"Tobias"},{"family":"Schmitt","given":"Syn"},{"family":"Leichsenring","given":"Kay"},{"family":"Böl","given":"Markus"},{"family":"Götz","given":"Thomas"}],"citation-label":"Rockenfeller_2020","collection-editor":[{"family":"Siebert","given":"Tobias"}],"collection-title":"","container-author":[{"family":"Siebert","given":"Tobias"}],"container-title":"Frontiers in Physiology","documents":[],"edition":"","editor":[{"family":"Siebert","given":"Tobias"}],"event-date":{"date-parts":[["2020","05"]],"literal":"2020"},"event-place":"","id":"cf82c2cba53516e9630c31dbf5760ea5inspo5","interhash":"f9d277a1e8c689ed9606efdfca787b8f","intrahash":"cf82c2cba53516e9630c31dbf5760ea5","issue":"","issued":{"date-parts":[["2020","05"]],"literal":"2020"},"keyword":"biomechanics analysis endurance estimation fatigue optimization dynamics parameter sensitivity time first-order","misc":{"doi":"10.3389/fphys.2020.00306"},"note":"","number":"","page":"","page-first":"","publisher":"Frontiers Media SA","publisher-place":"","status":"","title":"Exhaustion of Skeletal Muscle Fibers Within Seconds: Incorporating Phosphate Kinetics Into a Hill-Type Model","type":"article-journal","username":"inspo5","version":"","volume":"11"},"b9e0ef26b3072dde1659125d18d60b7ccarsten.scherer":{"DOI":"","ISBN":"","ISSN":"","URL":"https://doi.org/10.1080/00207170701730451","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.","annote":"","author":[{"family":"Rieber","given":"J. M."},{"family":"Scherer","given":"C. W."},{"family":"Allgower","given":"F."}],"citation-label":"RieSch08a","collection-editor":[],"collection-title":"","container-author":[],"container-title":"Int. J. Control","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2008"]],"literal":"2008"},"event-place":"","id":"b9e0ef26b3072dde1659125d18d60b7ccarsten.scherer","interhash":"65da870d0bca9e82e2d000989caf405c","intrahash":"b9e0ef26b3072dde1659125d18d60b7c","issue":"5","issued":{"date-parts":[["2008"]],"literal":"2008"},"keyword":"approach lyapunov functions relaxations imng matrix inequality optimization EXC310 pn4 peerReviewed programs dependent","misc":{"shorttitle":"Robust l(1) performance analysis for linear systems with parametric uncertainties","file":"<Go to ISI>://000255553000012","endnotereftype":"Journal Article"},"note":"","number":"5","number-of-pages":"13","page":"851-864","page-first":"851","publisher":"","publisher-place":"","status":"","title":"Robust $l_1$ performance analysis for linear systems with parametric uncertainties","type":"article-journal","username":"carsten.scherer","version":"","volume":"81"},"50eb44f91950357cf988eb9394027e14carsten.scherer":{"DOI":"","ISBN":"","ISSN":"0005-1098","URL":"https://doi.org/10.1016/j.automatica.2004.01.028","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.","annote":"","author":[{"family":"Kanev","given":"S."},{"family":"Scherer","given":"C. W."},{"family":"Verhaegen","given":"M."},{"family":"De Schutter","given":"B."}],"citation-label":"KanSch04a","collection-editor":[],"collection-title":"","container-author":[],"container-title":"Automatica","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2004","07"]],"literal":"2004"},"event-place":"","id":"50eb44f91950357cf988eb9394027e14carsten.scherer","interhash":"79b43995f394ecc9dbf6ddc0aa390ca5","intrahash":"50eb44f91950357cf988eb9394027e14","issue":"7","issued":{"date-parts":[["2004","07"]],"literal":"2004"},"keyword":"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","misc":{"shorttitle":"Robust output-feedback controller design via local BMI optimization","file":"<Go to ISI>://000221904200002","issn":"0005-1098","endnotereftype":"Journal Article"},"note":"","number":"7","number-of-pages":"12","page":"1115-1127","page-first":"1115","publisher":"","publisher-place":"","status":"","title":"Robust output-feedback controller design via local BMI optimization","type":"article-journal","username":"carsten.scherer","version":"","volume":"40"},"69fdb36b26116381977474506b0776b5ist_bib":{"DOI":"10.1109/LCSYS.2018.2849596","ISBN":"","ISSN":"2475-1456","URL":"","abstract":"","annote":"","author":[{"family":"Feiling","given":"J."},{"family":"Zeller","given":"A."},{"family":"Ebenbauer","given":"C."}],"citation-label":"ist:feiling2018","collection-editor":[],"collection-title":"","container-author":[],"container-title":"IEEE Control Systems Letters","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2018"]],"literal":"2018"},"event-place":"","id":"69fdb36b26116381977474506b0776b5ist_bib","interhash":"22462157c2bb594eb5737c5f1be394ec","intrahash":"69fdb36b26116381977474506b0776b5","issue":"4","issued":{"date-parts":[["2018"]],"literal":"2018"},"keyword":"programming;Switches;Convergence;Commutation;Adaptive optimization control;Optimization algorithms;adaptive control algorithms;Optimization;Linear maps;Approximation algorithms;noncommutative convergence;optimisation;derivative-free","misc":{"issn":"2475-1456","doi":"10.1109/LCSYS.2018.2849596"},"note":"","number":"4","number-of-pages":"5","page":"743-748","page-first":"743","publisher":"","publisher-place":"","status":"","title":"Derivative-Free Optimization Algorithms Based on Non-Commutative Maps","type":"article-journal","username":"ist_bib","version":"","volume":"2"}}