Advanced Optimization for Motion Control Systems by Xiaocong Li, Jun Ma and Kok Kiong Tan (2020, Hardcover)

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About this product

Product Identifiers

PublisherCRC Press LLC
ISBN-100367343398
ISBN-139780367343392
eBay Product ID (ePID)20038279352

Product Key Features

Number of Pages166 Pages
LanguageEnglish
Publication NameAdvanced Optimization for Motion Control Systems
Publication Year2020
SubjectElectrical, Electronics / General
TypeTextbook
AuthorXiaocong Li, Jun Ma, Kok Kiong Tan
Subject AreaTechnology & Engineering
FormatHardcover

Dimensions

Item Weight14.1 Oz
Item Length9.2 in
Item Width6.1 in

Additional Product Features

Intended AudienceCollege Audience
LCCN2020-930274
Dewey Edition23
IllustratedYes
Dewey Decimal629.8
Table Of Content1 Introduction. I Model-based Optimization for Motion Control Systems. 2 Constrained Linear Quadratic Optimization. 3 Constrained H2 Optimization. 4 Constrained H2 Guaranteed Cost Optimization. II Data-based Optimization for Motion Control Systems. 5 Reduced-order Inverse Model Optimization. 6 Reference Profile Alteration and Optimization. 7 Disturbance Observer Sensitivity Shaping Optimization. Bibliography.
SynopsisThe book is organized into two parts: Part I focuses on the model-based approaches, and Part II presents the data-based approaches. Industrial problems explored in the book are formulated systematically with necessary analysis of the control system synthesis., Precision motion control is strongly required in many fields, such as precision engineering, micromanufacturing, biotechnology, and nanotechnology. Although great achievements have been made in control engineering, it is still challenging to fulfill the desired performance for precision motion control systems. Substantial works have been presented to reveal an increasing trend to apply optimization approaches in precision engineering to obtain the control system parameters. In this book, we present a result of several years of work in the area of advanced optimization for motion control systems. The book is organized into two parts: Part I focuses on the model-based approaches, and Part II presents the data-based approaches. To illustrate the practical appeal of the proposed optimization techniques, theoretical results are verified with practical examples in each chapter. Industrial problems explored in the book are formulated systematically with necessary analysis of the control system synthesis. By virtue of the design and implementation nature, this book can be used as a reference for engineers, researchers, and students who want to utilize control theories to solve the practical control problems. As the methodologies have extensive applicability in many control engineering problems, the research results in the field of optimization can be applied to full-fledged industrial processes, filling in the gap between research and application to achieve a technology frontier increment.
LC Classification NumberTJ214.5.M3 2020
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