Muutke küpsiste eelistusi

Robust Control System Design: Advanced State Space Techniques 2nd edition [Kõva köide]

Edited by
  • Formaat: Hardback, 500 pages, kõrgus x laius: 229x152 mm, kaal: 589 g
  • Ilmumisaeg: 11-Dec-2003
  • Kirjastus: CRC Press Inc
  • ISBN-10: 0824748697
  • ISBN-13: 9780824748692
Teised raamatud teemal:
  • Kõva köide
  • Hind: 185,50 €*
  • * saadame teile pakkumise kasutatud raamatule, mille hind võib erineda kodulehel olevast hinnast
  • See raamat on trükist otsas, kuid me saadame teile pakkumise kasutatud raamatule.
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Lisa soovinimekirja
  • Formaat: Hardback, 500 pages, kõrgus x laius: 229x152 mm, kaal: 589 g
  • Ilmumisaeg: 11-Dec-2003
  • Kirjastus: CRC Press Inc
  • ISBN-10: 0824748697
  • ISBN-13: 9780824748692
Teised raamatud teemal:
Robust Control System Design: Advanced State Space Techniques, Second Edition expands upon a groundbreaking and combinatorial approach to state space control system design that fully realizes the critical loop transfer function and robustness properties of state/generalized state feedback control. This edition offers many new examples and exercises to illustrate and clarify new design concepts, approaches, and procedures while highlighting the fact that state/generalized state feedback control can improve system performance and robustness more effectively than other forms of control.

Revised and expanded throughout, the second edition presents an improved eigenstructure assignment design method that enhances system performance and robustness more directly and effectively and allows for adjustment of design formulations based on design testing and simulation. The author proposes the systematic controller order adjustment for the tradeoff between performance and robustness based on the complete unification of the state feedback control and static output feedback control. The book also utilizes a more accurate robust stability measure to guide control designs.
Series Introduction v
Preface vii
1 System Mathematical Models and Basic Properties
1(26)
1.1 Two Kinds of Mathematical Models
2(9)
1.2 Eigenstructure Decomposition of a State Space Model
11(2)
1.3 System Order, Controllability, and Observability
13(8)
1.4 System Poles and Zeros
21(2)
Exercises
23(4)
2 Single-System Performance and Sensitivity
27(28)
2.1 System Performance
28(10)
2.2 System Sensitivity and Robustness
38(15)
Conclusion
53(1)
Exercises
53(2)
3 Feedback System Sensitivity
55(24)
3.1 Sensitivity and Loop Transfer Function of Feedback Systems
56(7)
3.2 Sensitivity of Feedback Systems of Modern Control Theory
63(13)
Summary
76(3)
4 A New Feedback Control Design Approach
79(26)
4.1 Basic Design Concept of Observers-Direct Generation of State Feedback Control Signal Without Explicit System States
80(5)
4.2 Performance of Observer Feedback Systems Separation Property
85(3)
4.3 The Current State of LTR Observer Design
88(5)
4.4 A New Design Approach and New Feedback Structure-A Dynamic Output Feedback Compensator that Generates State/Generalized State Feedback Control Signal
93(6)
Exercises
99(6)
5 Solution of Matrix Equation TA - FT = LC
105(24)
5.1 Computation of a System's Observable Hessenberg Form
106(9)
5.2 Solving Matrix Equation TA - FT = LC
115(11)
Exercises
126(3)
6 Observer (Dynamic Part) Design for Robustness Realization
129(28)
6.1 Solution of Matrix Equation TB = 0
130(2)
6.2 Analysis and Examples of This Design Solution
132(17)
6.3 Complete Unification of Two Existing Basic Modern Control System Structures
149(1)
6.4 Observer Order Adjustment to Tradeoff Between Performance and Robustness
150(4)
Exercises
154(3)
7 Observer Design for Minimized Order
157(20)
7.1 Design Formulation
158(2)
7.2 Design Algorithm and Its Analysis
160(4)
7.3 Examples and Significance of This Design
164(10)
Exercises
174(3)
8 Design of Feedback Control Eigenstructure Assignment
177(44)
8.1 Selection and Placement of Feedback System Poles
178(18)
8.2 Eigenvector Assignment
196(19)
Summary
215(1)
Exercises
216(5)
9 Design of Feedback Control Quadratic Optimal Control
221(14)
9.1 Design of Direct State Feedback Control
223(3)
9.2 Design of Generalized State Feedback Control
226(4)
9.3 Comparison and Conclusion of Feedback Control Designs
230(3)
Exercises
233(2)
10 Design of Failure Detection, Isolation, and Accommodation Compensators 235(28)
10.1 Failure Detection and Isolation
236(10)
10.2 Adaptive State Feedback Control for Failure Accommodation
246(5)
10.3 The Treatment of Model Uncertainty and Measurement Noise
251(11)
Exercises
262(1)
Appendix A: Relevant Linear Algebra and Numerical Linear Algebra 263(26)
Appendix B: Design Projects and Problems 289(10)
References 299(16)
Index 315
Chia-chi Tsui