Explains developments in multivariable and nonlinear control techniques, and looks at tools for computer aided design, for example Matlab and its toolboxes. This book explores the practical limits of control systems and discusses the relevance of these to control design. It is suitable for final year undergraduates.
Explains developments in multivariable and nonlinear control techniques, and looks at tools for computer aided design, for example Matlab and its toolboxes. This book explores the practical limits of control systems and discusses the relevance of these to control design. It is suitable for final year undergraduates.
Preface. Introduction. 1. Representation of linear systems 2. Properties of linear systems 3. Sampled data systems 4. Disturbance models 5. The closed loop system 6. Limitations and conflicts 7. Controller structures and design 8. Minimization of quadratic criteria 9. Shaping the loop again 10. Descriptions of nonlinear systems 11. Stability of nonlinear systems 12. Qualitative beviour. Phase Plane 13. Oscillations and describing functions 14. Controller synthesis for nonlinear systems 15. Model predictive control : MPC, GPC, and DMM 16. To compensate exactly for nonlinearities 17. Optimal control 18. Conclusion. Literature. Index. Index of examples.
Preface. Introduction. 1. Representation of linear systems 2. Properties of linear systems 3. Sampled data systems 4. Disturbance models 5. The closed loop system 6. Limitations and conflicts 7. Controller structures and design 8. Minimization of quadratic criteria 9. Shaping the loop again 10. Descriptions of nonlinear systems 11. Stability of nonlinear systems 12. Qualitative beviour. Phase Plane 13. Oscillations and describing functions 14. Controller synthesis for nonlinear systems 15. Model predictive control : MPC, GPC, and DMM 16. To compensate exactly for nonlinearities 17. Optimal control 18. Conclusion. Literature. Index. Index of examples.
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