Overview

This work is a revision and extension of the author's 1995 ""Sourcebook of Control Systems Engineering"". Because of the extensions and other modifications, it has been re-titled, and is intended to be for its prime audience - advanced undergraduate students, beginning graduate students, and practicing engineers needing an understandable review of the field or recent developments which may prove useful. New in this edition are two chapters on aspects of nonlinear systems. In the first of these, selected material for nonlinear systems is concentrated on four aspects: showing the value of certain linear controllers, arguing the suitability of algebraic linearization, reviewing the semi-classical methods of harmonic balance, and introducing the nonlinear change of variable technique known as feedback linearization. In the second new chapter, the topic of variable structure control, often with sliding mode, is introduced. A third chapter introduces discrete event systems, including several approaches to their analysis. The chapters on robust control and intelligent control have been extensively revised. Modest revisions and extensions have also been made to other chapters, often to incorporate extensions to nonlinear systems. Many references have been updated to more recent books, although old standards are still cited. Also, some of the advances in computer and communications technology are reflected.

Full Product Details

Author:   Louis C. Westphal
Publisher:   Springer
Imprint:   Springer
Edition:   2nd ed. 2001
Volume:   635
Dimensions:   Width: 15.50cm , Height: 5.50cm , Length: 23.50cm
Weight:   1.690kg
ISBN:  

9780792374947

ISBN 10:   0792374940
Pages:   1063
Publication Date:   31 October 2001
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of print, replaced by POD  
We will order this item for you from a manufatured on demand supplier.

Table of Contents

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. Structures of multivariable controllers.- 33. Linearization methods for nonlinear systems.- 34. Variable structures and sliding mode control.- 35. Intelligent control.- 36. Robust control.- 37. Discrete event control systems.- Appendix A. z-Transform.- A. 1 Definition and important properties.- A.2 The inverse z-transform.- A.4 Further reading.- Appendix B. Review of matrices.- B.1 Definitions and notations.- B.2 Rank.- B.3 Matrix Inverses and decompositions.- B.4 Similarity transformations.- B.6 Projection matrices.- B.7 Matrix Identities.- B.8 The Cayley-Hamilton theorem.- B.9 Functions of matrices.- B.10 Minimization.- B.11 Ackermann’s formula.- B.12 Special similarity transformations into the standard canonical forms.- B.13 Metrics for matrices.- B.14 Notation for derivatives.- B.15 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.- C.4 Spectra.- C.5 Effect of linear systems.- C.6 Gaussian processes.- C.7 Time averages and ergodicity.- C.8 Further reading.- References.

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