01274nam0 2200301 i 450 SUN007655320181126021605.774978-88-470-0473-30.0020100913d2006 |0itac50 baitaIT|||| |||||*Matetrentinopercorsi matematici a Trento e dintornia cura di Domenico Luminati, Italo TamaniniMilano : Springer, 2006XXI153 p.ill. ; 24 cmPubblicazione disponibile anche in formato elettronico97-XXMathematics education [MSC 2020]MFSUNC023813MilanoSUNL000284Luminati, DomenicoSUNV042194Tamanini, ItaloSUNV066737SpringerSUNV000178650ITSOL20200921RICAhttp://link.springer.com/book/10.1007/88-470-0474-8SUN0076553UFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08PREST 97-XX 2538 08 8892 I 20100913 BIBLIOTECA CENTRO DI SERVIZIO SBA15CONS SBA EBOOK 143 15EB 143 20150504 Matetrentino1419830UNICAMPANIA03338nam 22006855 450 991054484820332120250218004156.09783030907730303090773210.1007/978-3-030-90773-0(MiAaPQ)EBC6882522(Au-PeEL)EBL6882522(CKB)21069305100041(PPN)260828149(DE-He213)978-3-030-90773-0(EXLCZ)992106930510004120220205d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAnalysis and Synthesis of Nonlinear Control Systems A Convex Optimisation Approach /by Miguel Bernal, Antonio Sala, Zsófia Lendek, Thierry Marie Guerra1st ed. 2022.Cham :Springer International Publishing :Imprint: Springer,2022.1 online resource (349 pages)Studies in Systems, Decision and Control,2198-4190 ;408Includes index.Print version: Bernal, Miguel Analysis and Synthesis of Nonlinear Control Systems Cham : Springer International Publishing AG,c2022 9783030907723 Introduction -- Problems to be Solved and Scope of the Book -- Modeling via Convex Structures -- Stability Analysis -- State Feedback -- Performance, Robustness, Observation, and Output Feedback -- Conclusions and Perspectives.This book presents a modern perspective on the modelling, analysis, and synthesis ideas behind convex-optimisation-based control of nonlinear systems: it embeds them in models with convex structures. Analysis and Synthesis of Nonlinear Control Systems begins with an introduction to the topic and a discussion of the problems to be solved. It then explores modelling via convex structures, including quasi-linear parameter-varying, Takagi–Sugeno models, and linear fractional transformation structures. The authors cover stability analysis, addressing Lyapunov functions and the stability of polynomial models, as well as the performance and robustness of the models. With detailed examples, simulations, and programming code, this book will be useful to instructors, researchers, and graduate students interested in nonlinear control systems.Studies in Systems, Decision and Control,2198-4190 ;408Automatic controlMathematical optimizationSystem theoryControl theoryRobust statisticsControl and Systems TheoryOptimizationSystems Theory, ControlSystem RobustnessAutomatic control.Mathematical optimization.System theory.Control theory.Robust statistics.Control and Systems Theory.Optimization.Systems Theory, Control.System Robustness.629.8312629.836Bernal Miguel1117288MiAaPQMiAaPQMiAaPQBOOK9910544848203321Analysis and synthesis of nonlinear control systems2918109UNINA