Structured Controllers for Uncertain Systems A Stochastic Optimization Approach Rosario Toscano Buch Advances in Industrial Control Book w. online files/update Englisch 2013 - copertina rigida, flessible

Libro nella banca dati dal 2009-11-28T12:31:56+01:00 (Zurich)
Pagina di dettaglio ultima modifica in 2023-06-20T03:43:12+02:00 (Zurich)
ISBN/EAN: 9781447151876

ISBN - Stili di scrittura alternativi:
1-4471-5187-9, 978-1-4471-5187-6
Stili di scrittura alternativi e concetti di ricerca simili:
Autore del libro : tos
Titolo del libro: kalman, structure systems

Dati dell'editore

Autore: Rosario Toscano
Titolo: Advances in Industrial Control; Structured Controllers for Uncertain Systems - A Stochastic Optimization Approach
Editore: Springer; Springer London
298 Pagine
Anno di pubblicazione: 2013-06-12
London; GB
Stampato / Fatto in
Lingua: Inglese
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
XXIV, 298 p. With online files/update.

BB; Hardcover, Softcover / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Regelungstechnik; Verstehen; Constrained Control; Control Applications; Heuristic Kalman Algorithm; Low-order Control; Robust Control; Stochastic Optimization; Structured Control; Uncertain Systems; Control and Systems Theory; Systems Theory, Control; Calculus of Variations and Optimization; Kybernetik und Systemtheorie; Optimierung; EA; BC

Structured Controllers for Uncertain Systems focuses on the development of easy-to-use design strategies for robust low-order or fixed-structure controllers (particularly the industrially ubiquitous PID controller). These strategies are based on a recently-developed stochastic optimization method termed the "Heuristic Kalman Algorithm" (HKA) the use of which results in a simplified methodology that enables the solution of the structured control problem without a profusion of user-defined parameters. An overview of the main stochastic methods employable in the context of continuous non-convex optimization problems is also provided and various optimization criteria for the design of a structured controller are considered; H

Standard Stochastic Optimisation Methods.- Heuristic Kalman Algorithm.- Uncertain Linear Systems and Robustness.- H∞ Design of Fixed Structure Controllers.- H2 Design of Fixed Structure Controllers.- Mixed H2/H∞ Design of Fixed Structure Controllers.- Extension to Nonlinear Control via Multimodel Approach.

Rosario Toscano was born in Catania, Italy. He received his masters degree with specialization in control from the Institut National des Sciences Appliquées de Lyon in 1996. He received the Ph.D. degree from the Ecole Centrale de Lyon in 2000. He received the HDR degree (Habilitation to Direct Research) from the University Jean Monnet of Saint-Etienne in 2007. He is currently an associate professor at the Ecole Nationale d'Ingénieurs de Saint-Etienne (ENISE). His research interests include dynamic reliability, fault detection, robust control, and multimodel approach applied to diagnosis and control.

Structured Controllers for Uncertain Systems focuses on the development of easy-to-use design strategies for robust low-order or fixed-structure controllers (particularly the industrially ubiquitous PID controller). These strategies are based on a recently-developed stochastic optimization method termed the "Heuristic Kalman Algorithm" (HKA) the use of which results in a simplified methodology that enables the solution of the structured control problem without a profusion of user-defined parameters. An overview of the main stochastic methods employable in the context of continuous non-convex optimization problems is also provided and various optimization criteria for the design of a structured controller are considered; H∞, H2, and mixed H2/H∞ each merits a chapter to itself. Time-domain-performance specifications can be easily incorporated in the design.

aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.