01032nam0 22002531i 450 UON0018473720231205103148.47822-7500-876-420030730d1987 |0itac50 bafreFR|||| 1||||ˆLa ‰décentralisation a l'épreuve des faitsAndré Terrazzoni Deuxième tirage ParisL.G.D.J., 1987 - 288 p.24 cm001UON001720972001 Collection décentralisation et développement local 210 ParisL.G.D.J.FRANCIAAmministrazione localeUONC034240FITERRAZZONIAndréUONV107133676160ITSOL20241122RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIUON00184737SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI VI DIR PUB C 0755 SI SC 25136 5 0755 Décentralisation a l'épreuve des faits1287478UNIOR04891nam 22006375 450 991015044890332120250408062731.03-319-46024-210.1007/978-3-319-46024-6(CKB)3710000000943206(DE-He213)978-3-319-46024-6(MiAaPQ)EBC4740951(PPN)197137814(EXLCZ)99371000000094320620161110d2017 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierNonlinear Model Predictive Control Theory and Algorithms /by Lars Grüne, Jürgen Pannek2nd ed. 2017.Cham :Springer International Publishing :Imprint: Springer,2017.1 online resource (XIV, 456 p. 80 illus., 22 illus. in color.)Communications and Control Engineering,2197-71193-319-46023-4 Includes bibliographical references at the end of each chapters and index.Introduction -- Discrete-Time and Sampled-Data Systems -- Nonlinear Model Predictive Control -- Infinite-Horizon Optimal Control -- Stability and Suboptimality Using Stabilizing Constraints -- Stability and Suboptimality Without Stabilizing Constraints -- Feasibility and Robustness -- Economic Nonlinear Model Predictive Control -- Distributed Nonlinear Model Predictive Control -- Variants and Extensions -- Numerical Discretization -- Numerical Optimal Control of Nonlinear Systems -- Appendix: NMPC Software Supporting This Book.This book offers readers a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data systems. NMPC schemes with and without stabilizing terminal constraints are detailed, and intuitive examples illustrate the performance of different NMPC variants. NMPC is interpreted as an approximation of infinite-horizon optimal control so that important properties like closed-loop stability, inverse optimality and suboptimality can be derived in a uniform manner. These results are complemented by discussions of feasibility and robustness. An introduction to nonlinear optimal control algorithms yields essential insights into how the nonlinear optimization routine—the core of any nonlinear model predictive controller—works. Accompanying software in MATLAB® and C++ (downloadable from extras.springer.com/), together with an explanatory appendix in the book itself, enables readers to perform computer experiments exploring the possibilities and limitations of NMPC. This book (second edition) has been substantially rewritten, edited and updated to reflect the significant advances that have been made since the publication of its predecessor, including: • a new chapter on economic NMPC relaxing the assumption that the running cost penalizes the distance to a pre-defined equilibrium; • a new chapter on distributed NMPC discussing methods which facilitate the control of large-scale systems by splitting up the optimization into smaller subproblems; • an extended discussion of stability and performance using approximate updates rather than full optimization; • replacement of the pivotal sufficient condition for stability without stabilizing terminal conditions with a weaker alternative and inclusion of an alternative and much simpler proof in the analysis; and • further variations and extensions in response to suggestions from readers of the first edition. Though primarily aimed at academic researchers and practitioners working in control and optimization, the text is self-contained, featuring background material on infinite-horizon optimal control and Lyapunov stability theory that also makes it accessible for graduate students in control engineering and applied mathematics.Communications and Control Engineering,2197-7119Automatic controlSystem theoryControl theoryChemistry, TechnicalAutomotive engineeringControl and Systems TheorySystems Theory, ControlIndustrial ChemistryAutomotive EngineeringAutomatic control.System theory.Control theory.Chemistry, Technical.Automotive engineering.Control and Systems Theory.Systems Theory, Control.Industrial Chemistry.Automotive Engineering.629.8312003Grüne Lars66925Pannek Jürgenauthttp://id.loc.gov/vocabulary/relators/autBOOK9910150448903321Nonlinear Model Predictive Control1954291UNINA