Ebook: System Identification and Robust Control: A Case Study Approach

The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology impacts all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies, ... , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. The present text Steen T0ffner-Clausen deals with both system identification and robust control. It provides a very comprehensive tutorial introduction to some of the most difficult topics in robust control theory before considering applications problems. Traditional Hoo robust control design concepts for multivariable systems are first considered and the problems of robust stability and performance are discussed. The following chapter introduces the idea of the structured singular value and applies this to both analysis and synthesis problems. The author manages to provide a very straightforward introduction to this subject and also introduces some new ideas.

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The main theme of this book is robust control design from a practical point of view. A thorough introduction to frequency response norm-based robust control design methods is given. This includes, in particular, a comprehensive treatment of the structural singular value µ. An important problem in robust control design is how to determine model uncertainty. In this book it is shown how system identification can be used to obtain error bounds for use in subsequent controller design. Both classical prediction error methods and the more recent Stochastic Embedding Approach are treated and a step-by-step procedure for system identification based robust control design is provided. The design techniques presented in the book are illustrated through numerous case studies including, for example, the control design for an ASTOVL (Advanced Short Take-Off and Vertical Landing) aircraft.

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The main theme of this book is robust control design from a practical point of view. A thorough introduction to frequency response norm-based robust control design methods is given. This includes, in particular, a comprehensive treatment of the structural singular value µ. An important problem in robust control design is how to determine model uncertainty. In this book it is shown how system identification can be used to obtain error bounds for use in subsequent controller design. Both classical prediction error methods and the more recent Stochastic Embedding Approach are treated and a step-by-step procedure for system identification based robust control design is provided. The design techniques presented in the book are illustrated through numerous case studies including, for example, the control design for an ASTOVL (Advanced Short Take-Off and Vertical Landing) aircraft.
Content:
Front Matter....Pages i-xxvi
Introduction....Pages 1-7
Front Matter....Pages 9-9
Introduction to Robust Control....Pages 11-12
Spaces and Norms in Robust Control Theory....Pages 13-32
Robust Control Design Using Singular Values....Pages 33-59
Robust Control Design Using Structured Singular Values....Pages 61-87
Mixed ? Control of a Compact Disc Servo Drive....Pages 89-97
? Control of an Ill-Conditioned Aircraft....Pages 99-119
Front Matter....Pages 121-121
Introduction to Estimation Theory....Pages 123-127
Classical System Identification....Pages 129-151
Orthonormal Filters in System Identification....Pages 153-168
The Stochastic Embedding Approach....Pages 169-188
Estimating Uncertainty Using Stochastic Embedding....Pages 189-202
Front Matter....Pages 203-203
Combining System Identification and Robust Control....Pages 205-221
Control of a Water Pump....Pages 223-239
Front Matter....Pages 241-241
Conclusions....Pages 243-250
Back Matter....Pages 251-311

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The main theme of this book is robust control design from a practical point of view. A thorough introduction to frequency response norm-based robust control design methods is given. This includes, in particular, a comprehensive treatment of the structural singular value µ. An important problem in robust control design is how to determine model uncertainty. In this book it is shown how system identification can be used to obtain error bounds for use in subsequent controller design. Both classical prediction error methods and the more recent Stochastic Embedding Approach are treated and a step-by-step procedure for system identification based robust control design is provided. The design techniques presented in the book are illustrated through numerous case studies including, for example, the control design for an ASTOVL (Advanced Short Take-Off and Vertical Landing) aircraft.
Content:
Front Matter....Pages i-xxvi
Introduction....Pages 1-7
Front Matter....Pages 9-9
Introduction to Robust Control....Pages 11-12
Spaces and Norms in Robust Control Theory....Pages 13-32
Robust Control Design Using Singular Values....Pages 33-59
Robust Control Design Using Structured Singular Values....Pages 61-87
Mixed ? Control of a Compact Disc Servo Drive....Pages 89-97
? Control of an Ill-Conditioned Aircraft....Pages 99-119
Front Matter....Pages 121-121
Introduction to Estimation Theory....Pages 123-127
Classical System Identification....Pages 129-151
Orthonormal Filters in System Identification....Pages 153-168
The Stochastic Embedding Approach....Pages 169-188
Estimating Uncertainty Using Stochastic Embedding....Pages 189-202
Front Matter....Pages 203-203
Combining System Identification and Robust Control....Pages 205-221
Control of a Water Pump....Pages 223-239
Front Matter....Pages 241-241
Conclusions....Pages 243-250
Back Matter....Pages 251-311
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