Sourcebook of Control Systems Engineering - Louis C Westphal

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Résumé :
This book joins the multitude of Control Systems books now available, but is neither a textbook nor a monograph. Rather it may be described as a resource book or survey of the elements/essentials of feedback control systems. The material included is a result of my development, over a period of several years, of summaries written to supplement a number of standard textbooks for undergraduate and early post-graduate courses. Those notes, plus more work than I care right now to contemplate, are intended to be helpful both to students and to professional engineers. Too often, standard textbooks seem to overlook some of the engineering realities of (roughly) how much things cost or how big of hardware for computer programs for simple algorithms are, sensing and actuation, of special systems such as PLCs and PID controllers, of the engineering of real systems from coverage of SISO theories, and of the special characteristics of computers, their programming, and their potential interactions into systems. In particular, students with specializations other than control systems are not being exposed to the breadth of the considerations needed in control systems engineering, perhaps because it is assumed that they are always to be part of a multicourse sequence taken by specialists. The lectures given to introduce at least some of these aspects were more effective when supported by written material: hence, the need for my notes which preceded this book.

Sommaire:
Content.- 1. Introduction and overview.- 2. Elements of systems engineering of digital control.- 3. Sensors and instrumentation.- 4. Control elements, actuators, and displays.- 5. Computer systems hardware.- 6. Computer software.- 7. Communications.- 8. Control laws without theory.- 9. Sources of system models.- 10. Continuous-time system representations.- 11. Sampled-data system representations.- 12. Conversions of continuous time to discrete time models.- 13. System performance indicators.- 14. BIBO stability and simple tests.- 15. Nyquist stability theory.- 16. Lyapunov stability testing.- 17. Steady-state response: error constants and system type.- 18. Root locus methods for analysis and design.- 19. Desirable pole locations.- 20. Bode diagrams for frequency domain analysis and design.- 21. A special control law: deadbeat control.- 22. Controllability.- 23. Controller design by pole placement.- 24. Observability.- 25. State observers.- 26. Optimal control by multiplier-type methods.- 27. Other optimal control methods.- 28. State estimation in noise.- 29. State feedback using state estimates.- 30. System identification.- 31. Adaptive and self-tuning control.- 32. Learning control.- 33. Robust control.- 34. Structures of multivariable controllers.- A.1 Definition and important properties.- A.4 Further reading.- Appendix B: Review of matrices.- BA Definitions and notations.- B.2 Rank.- B.3 Matrix inverses and decompositions.- Lower-upper factorization.- Orthonormal factorization.- Singular value decomposition.- Modal decomposition.- B.4 Similarity transformations.- B.5 Quadratic forms, positive definite matrices, etc..- B.6 Projection matrices.- B.7 Matrix identities.- B.8 The Cayley-Hamilton theorem.- B.9 Functions of matrices.- B.10 Minimization.- B.11Ackermann's formula.- B.12 Special similarity transformations into the standard canonical forms.- The controllable canonical form.- The observable canonical form.- The Jordan canonical form.- Change of variable ordering.- B.13 Metrics for matrices.- B.14 Further reading.- Appendix C: Description of random processes.- C.1 Events, probabilities, and probability density functions.- C.2 Averages and moments: means and variances.- C.3 Random processes.- Moments.- Vector cases.- C.4 Spectra.- C.5 Effect of linear systems.- C.6 Gaussian processes.- C.7 Time averages and ergodicity.- C.8 Further reading.- References.