Sourcebook Of Control Systems Engineering

Name: Sourcebook Of Control Systems Engineering
Price: 2506 SEK
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AvLouis C. Westphal

1995

2 506 kr

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Beskrivning

This book fills the gap between standard control systems textbooks and advanced monographs for researchers. The coverage of control systems topics is broad, though it emphasizes linear time - invariant dynamic systems, and it is sub-divided into a large number of self-contained chapters to allow easy use as a reference. The "Sourcebook of Control Systems Engineering" concentrates on engineering realities such as how much things cost and the size of computer programs for simple algorithms. It gives information on hardware for 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. Engineers and graduate and undergraduate students will find the "Sourcebook of Control Systems Engineering" a valuable reference, reviewing essential theory and providing the sort of practical engineering information which other texts too often exclude. This book should be of interest to engineers in control, electrical and mechanical engineering.

Produktinformation

Utgivningsdatum:1995-03-31
Höjd:155 x 235 x 51 mm
Vikt:1 506 g
Språk:Engelska
Antal sidor:939
Upplaga:1995
Förlag:Chapman and Hall
EAN:9780412484605

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Recensioner i media

It is an ideal source of refresher material for practising control engineers, as well as being a useful additional text for students interested in all aspects of control engineering. The subject content is wide ranging, interesting and thorough, while the style of writing makes the book very readable...I have little hesitation in recommending this book to higher education lecturers, practising control engineers and especially to undergraduates and postgraduates interested in control systems engineering - Measurement and Control

Innehållsförteckning

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.