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© 2013

Structured Controllers for Uncertain Systems

A Stochastic Optimization Approach

Benefits

  • 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

Book

Part of the Advances in Industrial Control book series (AIC)

Table of contents

  1. Front Matter
    Pages I-XXIV
  2. Rosario Toscano
    Pages 1-23
  3. Rosario Toscano
    Pages 25-44
  4. Rosario Toscano
    Pages 45-79
  5. Rosario Toscano
    Pages 81-105
  6. Rosario Toscano
    Pages 107-128
  7. Rosario Toscano
    Pages 129-162
  8. Rosario Toscano
    Pages 163-198
  9. Rosario Toscano
    Pages 275-280
  10. Back Matter
    Pages 281-298

About this book

Introduction

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.

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.

Keywords

Constrained Control Control Applications Heuristic Kalman Algorithm Low-order Control Robust Control Stochastic Optimization Structured Control Uncertain Systems

Authors and affiliations

  1. 1.Laboratoire de Tribologie et DynamiqueEcole Nat. d'Ingenieurs de Saint-EtienneSaint-EtienneFrance

About the authors

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.

Bibliographic information

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