Feedback Control Systems 3rd Edition

This book offers a thorough analysis of the principles of classical and modern feedback control. Organizing topic coverage into three sections—linear analog control systems, linear digital control systems, and nonlinear analog control systems—helps the reader understand the difference between mathematical models and the physical systems that the models represent.

FEATURES/BENEFITS

• NEW—SIMULINK simulation program—Illustrates feedback effects.
• Helps demonstrate design examples and problems.
• NEW—MATLAB's symbolic math is employed to verify transforms and to solve differential equations directly.
• NEW—Computer verification of results.
  • Exposes users to a short MATLAB program when working almost all examples and problems.
• NEW—Design procedures implemented in MATLAB m-files.
• NEW—Improved practical application examples.
• Allows the reader to better relate the mathematical developments to physical systems.
• Chapter-end problems.
• Most chapter-end problems lead the reader through a second method of the solution, so that they can verify results.
• Transfer-function and state-variable models.
• Familiarizes users with both models for the analysis and design of linear analog systems.
• System stability discussion—Along with the Routh-Hurwitz stability criterion.
• Coverage of nonlinear system analysis methods.
• Emphasizes describing-function analysis, linearization, and the state-plane analysis.
• Early coverage of expanded frequency-response design criteria.
• Helps explain closed-loop systems.
• Digital Control Systems.
• Provides the reader with the basic principles of digital control.
• Time-scaling differential equations section.
• Maximum text/course flexibility
—Places more advanced material toward the end of each chapter. Topics can be easily omitted, enabling instructors to tailor the book to meet their needs.

This self-study book offers optimum clarity and a thorough analysis of the principles of classical and modern feedback control. It emphasizes the difference between mathematical models and the physical systems that the models represent. The authors organize topic coverage into three sections--linear analog control systems, linear digital control systems, and nonlinear analog control systems, using the advanced features of MATLAB throughout the book. For practicing engineers with some experience in linear-system analysis, who want to learn about control systems.

 1. Introduction.

 2. Models of Physical Systems.

 3. State-Variable Models.

 4. System Responses.

 5. Control System Characteristics.

 6. Stability Analysis.

 7. Root-Locus Analysis and Design.

 8. Frequency-Response Analysis.

 9. Frequency-Response Design.

10. Modern Control Design.

11. Discrete-Time Systems.

12. Sampled-Data Systems.

13. Analysis and Design of Digital Control Systems.

14. Nonlinear System Analysis.

Appendix A. Matrices.

Appendix B. Laplace Transform.

Appendix C. Laplace Transform and z-Transform Tables.

Index.