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Structured Controllers for Uncertain Systems

Structured Controllers for Uncertain Systems

by Rosario Toscano

ControlEngineeringMathematical optimizationCalculus of Variations and Optimal Control; OptimizationControl Systems Theory
0.0
Open Library
Open Library

About this book

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.

Themes & subjects

ControlEngineeringMathematical optimizationCalculus of Variations and Optimal Control; OptimizationControl Systems TheorySystem theory

Author

Rosario Toscano

Pages

324

Read time

≈ 8h

Editions

3

Language

English

Publisher

Springer London, Limited

ISBN

9781447151876

Where to buy

TR
Amazon Bookshop

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