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Structured Controllers for Uncertain Systems

AIC: STRUCTURED CONTROLLERS FOR UNCERTAIN SYSTMS

Engineering

Mathematics & Science

Gt Product Group

Binding Format

Marketing Imprint Name

B2B GT

CL Carton Count

Imprint Name

B2B & B2C

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.

POST SECONDARY FOUR YEAR

COLFR

COLSO

COLJR

COLSR

Duration

Duration Unit Of Measure

Transaction Type

Front Cover.
Other Frontmatter.
Title Page.
Copyright Page.
Dedication.
Series Editors&#x0027; Foreword.
Preface.
Contents.
Notation and Acronyms.
1: Introduction.
2: Signal and System Norms.
3: Optimization in Control Theory.
4: Stochastic Optimization Methods.
5: Heuristic Kalman Algorithm.
6: Uncertain Systems and Robustness.
7: H&#x221E; Design of Structured Controllers.
8: H2 and Mixed H2/H&#x221E;Design of Structured Controllers.
9: Nonlinear Structured Control via the Multi-Model Approach.
10: Conclusion.
Convergence Properties of the HKA and Program Code.
References.
Index.

Structured Controllers for Uncertain Systems.css-1p8rvzy{position:absolute;padding-left:8px;}

Structured Controllers for Uncertain Systems