Structured Controllers for Uncertain Systems A Stochastic Optimization Approach Rosario Toscano Buch Advances in Industrial Control Book w. online files/update Englisch 2013 - encadernado, livro de bolso

EAN (ISBN-13): 9781447151876
ISBN (ISBN-10): 1447151879
Livro de capa dura
Ano de publicação: 2013
Editor/Editora: Springer
298 Páginas
Peso: 0,596 kg
Língua: Englisch

Livro na base de dados desde 2009-11-28T11:31:56+00:00 (Lisbon)
Página de detalhes modificada pela última vez em 2023-06-20T02:43:12+01:00 (Lisbon)
Número ISBN/EAN: 9781447151876

Número ISBN - Ortografia alternativa:
1-4471-5187-9, 978-1-4471-5187-6
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: tos
Título do livro: kalman, structure systems

---

Dados da editora

Autor: Rosario Toscano
Título: Advances in Industrial Control; Structured Controllers for Uncertain Systems - A Stochastic Optimization Approach
Editora: Springer; Springer London
298 Páginas
Ano de publicação: 2013-06-12
London; GB
Impresso / Feito em
Língua: Inglês
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.

Advances in Industrial Control
Shows the reader how to overcome system limitations imposed by lack of computing power or structure intrinsic to a controller Detailed examples are provided throughout, to aid readers in familiarizing themselves with the concepts presented Use of standard controllers such as PID make methods easily transferable to commercial controllers in the real world Includes supplementary material: sn.pub/extras