Structured Controllers for Uncertain Systems

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106,99 

A Stochastic Optimization Approach, Advances in Industrial Control

ISBN: 1447159152
ISBN 13: 9781447159155
Autor: Toscano, Rosario
Verlag: Springer Verlag GmbH
Umfang: xxiv, 298 S.
Erscheinungsdatum: 07.07.2015
Auflage: 1/2015
Produktform: Kartoniert
Einband: Kartoniert

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; H8, H2, and mixed H2/H8 each merits a chapter to itself. Time-domain-performance specifications can be easily incorporated in the design.Advances in Industrial Control 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.

Artikelnummer: 8402721 Kategorie:

Beschreibung

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.

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