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Robust Control System Design: Advanced State Space Techniques 3rd edition [Hardback]

(Devry Institute, USA.)
  • Formāts: Hardback, 320 pages, height x width: 234x156 mm, weight: 750 g, 13 Tables, black and white; 40 Line drawings, black and white; 1 Halftones, black and white; 41 Illustrations, black and white
  • Izdošanas datums: 01-Jun-2022
  • Izdevniecība: CRC Press
  • ISBN-10: 1032195193
  • ISBN-13: 9781032195193
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  • Cena: 171,76 €
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Robust Control System Design: Advanced State Space Techniques 3rd editionPalielināt
  • Formāts: Hardback, 320 pages, height x width: 234x156 mm, weight: 750 g, 13 Tables, black and white; 40 Line drawings, black and white; 1 Halftones, black and white; 41 Illustrations, black and white
  • Izdošanas datums: 01-Jun-2022
  • Izdevniecība: CRC Press
  • ISBN-10: 1032195193
  • ISBN-13: 9781032195193
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9781032195193.html
Keywords:
This book presents a synthesized design principle versus the existing separation principle of modern control theory of over six decades since the start. Guided by this new principle, a generalized state feedback control can be designed based on the parameters of observer and for a great majority of plant systems, and the robust property of this control can be fully realized. The robust property of the existing state feedback control which is designed separate from the parameters of its realizing observer, cannot be realized for a great majority of plant systems.

By freely design and adjust the observer order, the corresponding generalized state feedback control can unify completely the existing state feedback control and static output feedback control, and can adjust effectively the tradeoff between performance and robustness. This generalized state feedback control can assign eigen-structure, and can improve performance and robustness far more effectively than the control designed using classical control theory.

Equally significant, the results of this book are very simple that can be comprehended and grasped very easily. These results are introduced and illustrated from the basic level, and use only the basic mathematical tools. Ample examples and exercise problems that can be solved by hand computation, are provided. This third edition made substantial improvement on this aspect. Modern control theoreticians only formulated the feedback control design problem in various ways, the point however is to really solve this problem.
Preface ix
Preface (Second Edition) xiii
Author xvii
1 System Mathematical Models
1(24)
1.1 Two Kinds of Mathematical Models
1(7)
1.2 Eigenstructure Decomposition of the State Space Model
8(3)
1.3 System Order, Controllability, and Observability
11(7)
1.4 System Poles and Zeros
18(7)
Exercises
20(5)
2 Single-System Performance and Sensitivity
25(24)
2.1 System Performance
25(9)
2.2 System Sensitivity and Robustness
34(12)
2.2.1 The Sensitivity of Eigenvalues (Robust Performance)
37(4)
2.2.2 The Sensitivity of System Stability (Robust Stability)
41(5)
2.3 Conclusion
46(3)
Exercises
46(3)
3 Feedback System Sensitivity
49(24)
3.1 Sensitivity and Loop Transfer Function of the Feedback Systems
49(7)
3.1.1 Sensitivity to System Model Uncertainty
51(2)
3.1.2 Sensitivity to Control Input Disturbance
53(3)
3.2 Sensitivity of Feedback Systems of the Modern Control Theory
56(14)
3.2.1 State Feedback Control Systems
56(4)
3.2.2 Static Output Feedback Control Systems
60(2)
3.2.3 Observer Feedback System - Loop Transfer Recovery
62(8)
3.3 Summary
70(3)
4 A New Feedback Control Design Principle/Approach
73(24)
4.1 Basic Observer Design Concept - Generating State Feedback Signal Directly Without Generating Explicit System States
74(3)
4.2 Performance of the Observer Feedback System - Separation Property
77(2)
4.3 Eight Drawbacks and Irrationalities of the Modern Control Design and Separation Principle
79(6)
4.3.1 Drawback 1 of Separation Principle: Invalid Basic Assumption
79(1)
4.3.2 Drawback 2 of Separation Principle: Ignor Key Parameters
80(1)
4.3.3 Drawback 3 of Separation Principle: Wrong Design Priority
80(1)
4.3.4 Drawback 4 of Separation Principle: Unnecessary Design Requirement
81(1)
4.3.5 Drawback 5 of Separation Principle: Abandon Existing Control Structure
81(1)
4.3.6 Drawback 6 of Separation Principle: Failed Robust Realization
82(2)
4.3.7 Drawback 7 of Separation Principle: Two Extreme Controls
84(1)
4.3.8 Drawback 8 of Separation Principle: Two Extreme Control Structures
84(1)
4.4 A New Design Principle That Guarantees the General and Full Realization of Robustness of the Generalized State Feedback Control
85(12)
Exercises
92(5)
5 Solution of Matrix Equation TA--FT=LC
97(20)
5.1 Computation of System's Observable Hessenberg Form
97(8)
5.1.1 Single-Output Systems
97(2)
5.1.2 Multiple-Output Systems
99(6)
5.2 Computation of the Solution of Matrix Equation TA--FT=LC
105(12)
5.2.1 Eigen-Structure Case A
106(3)
5.2.2 Eigen-Structure Case B
109(6)
Exercises
115(2)
6 Observer Design for Robust Realization
117(26)
6.1 Solution of Matrix Equation TB=0
118(2)
6.2 Analysis and Examples of This Design Solution
120(13)
6.3 Complete Unification of Two Existing Basic Modern Control System Structures
133(2)
6.4 Observer Order Adjustment to Tradeoff between Performance and Robustness
135(8)
Exercises
138(5)
7 Observer Design for Other Special Purposes
143(34)
7.1 Minimal-Order Linear Functional Observer Design
144(13)
7.1.1 Simplest Possible Design Formulation -- Most Significant Theoretical Development
144(2)
7.1.2 Really Systematic Design Algorithm and Guaranteed Observer Order Upper Bound
146(9)
7.1.3 The Lowest Possible Observer Order Upper Bound -- The Best Possible Theoretical Result -- The Whole Design Problem Is Essentially Solved
155(2)
7.2 Fault Detection, Isolation, and Control Design
157(20)
7.2.1 Fault Models and Design Formulation of Fault Detection and Isolation
157(3)
7.2.2 Design Algorithm and Examples of Fault Detection and Isolation
160(3)
7.2.3 Adaptive Fault Control and Accommodation (Tsui, 1997)
163(4)
7.2.4 The Treatment of Model Uncertainty and Measurement Noise (Tsui, 1994b)
167(4)
Exercises
171(6)
8 Control Design for Eigenvalue Assignment
177(26)
8.1 Eigenvalue (Pole) Selection
177(2)
8.2 Eigenvalue Assignment by State Feedback Control
179(2)
8.3 Eigenvalue Assignment by Generalized State Feedback Control
181(12)
8.4 Modifications of Generalized State Feedback Control for Eigenstructure Assignment (Tsui, 2004b,c, 2005)
193(4)
8.5 Summary of Eigenstructure Assignment Designs
197(6)
Exercises
199(4)
9 Control Design for Eigenvector Assignment
203(20)
9.1 Numerical Iterative Methods (Kautsky et al., 1985)
204(5)
9.2 Analytical Decoupling Method
209(10)
9.3 Summary of Eigenstructure Assignment of
Chapters 8 and 9
219(4)
Exercises
220(3)
10 Control Design for LQ Optimal Control
223(14)
10.1 Direct State Feedback Control Design
225(2)
10.2 Design of Generalized State Feedback Control
227(4)
10.3 Comparison and Conclusion of Feedback Control Designs
231(6)
Exercises
234(3)
Appendix A Linear Algebra & Numerical Linear Algebra 237(26)
Appendix B Design Projects and Problems 263(8)
References 271(10)
Index 281
Chia-Chi Tsui was born in 1953, Shanghai, China. He worked at a state farm in northeast China between 1969 and 1975. He received Bachelor of Computer Science degree from Concordia University, Montreal, Canada in 1979. He received his Masters and Ph. D. degrees from Electrical Engineering Department, State University of New York at Stony Brook in 1980 and 1983, respectively. He has held teaching positions at Northeastern University, City University of New York Staten Island College, and DeVry University New York. His research interest is linear feedback control system design, including robust control design.