Modeling, analysis and design of control systems in MATLAB and Simulink

著者

    • Xue, Dingyü
    • Chen, YangQuan

書誌事項

Modeling, analysis and design of control systems in MATLAB and Simulink

Dingyü Xue, YangQuan Chen

World Scientific, c2015 , Tsinghua University Press

  • hbk.

大学図書館所蔵 件 / 全2件

この図書・雑誌をさがす

注記

Includes bibliographical references and index

内容説明・目次

内容説明

MATLAB and Simulink are now being used extensively in not only academia as a teaching aid, a learning aid and a research tool but also industry for modeling, analysis, design and rapid prototyping. As a response, Modeling, Analysis and Design of Control Systems in MATLAB and Simulink emphasizes on practical use of and problem solving in MATLAB and Simulink following the so-called MAD (modeling, analysis and design) notion. Readers can not only learn the control concepts and problem solving methods but also coding skills by following the numerous inline MATLAB scripts, functions, reproducible examples as well as chapter-end Problems. The book service website contains Solution Manual, 1,000 plus teaching/learning PPTs, and all related codes used in the book for reproducing the examples.Modeling, Analysis and Design of Control Systems in MATLAB and Simulink has 12 chapters organized in 5 parts: Foundation, Modeling, Analysis, Design and Rapid Prototyping. Each chapter ends with Problems section. This book can be used as a reference text in the introductory control course for undergraduates in all engineering schools. The coverage of topics is broad, yet balanced, and it should provide a solid foundation for the subsequent control engineering practice in both industry and research institutes. This book will be a good desktop reference for control engineers and many codes and tools in this book may be directly applicable in real world problem solving.

目次

  • Introduction to Simulation and Computer-aided Design of Control Systems
  • Fundamentals of MATLAB Programming
  • MATLAB Solutions to Scientific Computation Problems
  • Mathematical Models of Linear Control Systems
  • Computer-Aided Analysis of Linear Control Systems
  • Simulink and Simulation of Nonlinear Systems
  • Classical Design Approaches of Control Systems
  • Parameter Tuning of PID Controllers
  • Robust Control and Robust Controller Design
  • Adaptive and Intelligent Control Systems Design
  • Analysis and Design of Fractional-order Systems
  • Hardware-in-the-loop Simulation and Real-time Control
  • Appendix: Some Practical Plant Models

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