Atnaujinkite slapukų nuostatas

El. knyga: Adaptive Control of Dynamic Systems with Uncertainty and Quantization [Taylor & Francis e-book]

(NTU, Singapore.), (NTU, Singapore.), (University of Agder, Norway.)
  • Formatas: 233 pages, 3 Tables, black and white; 73 Line drawings, black and white; 1 Halftones, black and white; 74 Illustrations, black and white
  • Serija: Automation and Control Engineering
  • Išleidimo metai: 15-Dec-2021
  • Leidėjas: CRC Press
  • ISBN-13: 9781003176626
Kitos knygos pagal šią temą:
  • Taylor & Francis e-book
  • Kaina: 133,87 €*
  • * this price gives unlimited concurrent access for unlimited time
  • Standartinė kaina: 191,24 €
  • Sutaupote 30%
Adaptive Control of Dynamic Systems with Uncertainty and QuantizationDidesnis paveikslėlis
  • Formatas: 233 pages, 3 Tables, black and white; 73 Line drawings, black and white; 1 Halftones, black and white; 74 Illustrations, black and white
  • Serija: Automation and Control Engineering
  • Išleidimo metai: 15-Dec-2021
  • Leidėjas: CRC Press
  • ISBN-13: 9781003176626
Kitos knygos pagal šią temą:
Taylor & Francis e-booksMore info about Taylor & Francis e-books
Partnerių interneto svetainė: https://www.taylorfrancis.com/books/9781003176626
This book presents a series of innovative technologies and research results on adaptive control of dynamic systems with quantization, uncertainty, and nonlinearity, including the theoretical success and practical development such as the approaches for stability analysis, the compensation of quantization, the treatment of subsystem interactions, and the improvement of system tracking and transient performance. Novel solutions by adopting backstepping design tools to a number of hotspots and challenging problems in the area of adaptive control are provided.

In the first three chapters, the general design procedures and stability analysis of backstepping controllers and the basic descriptions and properties of quantizers are introduced as preliminary knowledge for this book. In the remainder of this book, adaptive control schemes are introduced to compensate for the effects of input quantization, state quantization, both input and state/output quantization for uncertain nonlinear systems and are applied to helicopter systems and DC Microgrid. Discussion remarks are provided in each chapter highlighting new approaches and contributions to emphasize the novelty of the presented design and analysis methods. Simulation results are also given in each chapter to show the effectiveness of these methods.

This book is helpful to learn and understand the fundamental backstepping schemes for state feedback control and output feedback control. It can be used as a reference book or a textbook on adaptive quantized control for students with some background in feedback control systems. Researchers, graduate students, and engineers in the fields of control, information, and communication, electrical engineering, mechanical engineering, computer science, and others will benefit from this book.
Preface ix
Authors xv
1 Introduction
1(8)
1.1 Adaptive Control
1(1)
1.2 Motivation
2(3)
1.2.1 Control of Input Quantization
3(1)
1.2.2 Control of State Quantization
4(1)
1.2.3 Control of Both Input and State/Output Quantization
5(1)
1.3 Objectives
5(1)
1.4 Preview of
Chapters
6(3)
2 Backstepping Control
9(26)
2.1 Adaptive State Feedback Control
9(6)
2.1.1 Design of Adaptive Controllers
10(4)
2.1.2 Stability Analysis
14(1)
2.2 Adaptive Output Feedback Control
15(10)
2.2.1 State Estimation Filters
16(3)
2.2.2 Design of Adaptive Controllers and Stability Analysis
19(6)
2.3 Robust State Feedback Control
25(4)
2.3.1 Controller Design
26(3)
2.3.2 Closed-loop Analysis
29(1)
2.4 Robust Output Feedback Control
29(5)
2.4.1 Observer Design
30(1)
2.4.2 Controller Design and Stability Analysis
31(3)
2.5 Notes
34(1)
3 Quantizers and Quantized Control Systems
35(12)
3.1 Quantizers
35(6)
3.1.1 Uniform Quantizer
36(1)
3.1.2 Logarithmic Quantizer
37(1)
3.1.3 Hysteresis-Uniform Quantizer
38(1)
3.1.4 Hysteresis-Logarithmic Quantizer
39(1)
3.1.5 Logarithmic-Uniform Quantizer
40(1)
3.2 Properties
41(1)
3.2.1 Bounded Property
41(1)
3.2.2 Sector-Bounded Property
42(1)
3.3 Quantized Control Systems
42(2)
3.4 Notes
44(3)
SECTION I INPUT QUANTIZATION COMPENSATION
47(66)
4 Adaptive Stabilization of Nonlinear Uncertain Systems with Input Quantization
49(12)
4.1 Introduction
49(1)
4.2 System Model
50(1)
4.3 Quantizer
51(1)
4.4 Design of Adaptive Controller
52(2)
4.5 Stability Analysis
54(3)
4.6 An Illustrative Example
57(2)
4.7 Notes
59(2)
5 Adaptive Tracking of Nonlinear Uncertain Systems with Input Quantization
61(16)
5.1 Introduction
62(1)
5.2 Problem Statement
63(1)
5.2.1 Modeling of Uncertain Nonlinear Systems
63(1)
5.2.2 Quantizer
63(1)
5.3 Design of Adaptive Controllers
64(5)
5.3.1 Control Scheme I for Known Quantization Parameters
64(3)
5.3.2 Control Scheme II for Unknown Quantization Parameters
67(2)
5.4 Simulation Results
69(2)
5.5 Notes
71(6)
6 Decentralized Adaptive Control of Interconnected Systems with Input Quantization
77(14)
6.1 Introduction
77(1)
6.2 Problem Formulation
78(1)
6.3 Design of Decentralized Adaptive Controller
79(4)
6.4 Stability Analysis
83(5)
6.5 An Illustrative Example
88(1)
6.6 Notes
88(3)
7 Output Feedback Control for Uncertain Nonlinear Systems with Input Quantization
91(22)
7.1 Introduction
92(1)
7.2 Problem Formulation
92(1)
7.3 Controller Design with Bounded Quantizers
93(11)
7.3.1 State Estimation Filters
93(2)
7.3.2 Design of Adaptive Controller
95(2)
7.3.3 Stability Analysis
97(3)
7.3.4 Simulation Results
100(4)
7.4 Controller Design with Sector-Bounded Quantizers
104(5)
7.4.1 State Estimation Filters
104(1)
7.4.2 Controller Design and Stability Analysis
105(3)
7.4.3 Simulation
108(1)
7.5 Notes
109(4)
SECTION II STATE QUANTIZATION COMPENSATION
113(34)
8 Adaptive Control of Systems with Bounded State Quantization
115(18)
8.1 Introduction
115(2)
8.2 Problem Statement
117(1)
8.2.1 System Model
117(1)
8.2.2 Bounded Quantizer
118(1)
8.3 Adaptive Backstepping Control
118(10)
8.3.1 States are Not Quantized
118(2)
8.3.2 States are Quantized
120(8)
8.4 Simulation Study
128(2)
8.5 Notes
130(3)
9 Adaptive Control of Systems with Sector-Bounded State Quantization
133(14)
9.1 Introduction
133(1)
9.2 Problem Statement
134(1)
9.2.1 System Model
134(1)
9.2.2 Sector-Bound Quantizer
135(1)
9.3 Design of Adaptive Backstepping Controller
135(2)
9.4 Stability Analysis
137(6)
9.5 Simulation Results
143(1)
9.6 Notes
144(3)
SECTION III INPUT AND STATE/OUTPUT QUANTIZATION COMPENSATION
147(30)
10 Adaptive State Feedback Control of Systems with Input and State Quantization
149(16)
10.1 Introduction
149(1)
10.2 Problem Statement
150(2)
10.2.1 System Model
150(2)
10.2.2 Quantizer Model
152(1)
10.3 Design of Adaptive Backstepping Controller
152(2)
10.3.1 System without Quantization
152(1)
10.3.2 System with Input and State Quantization
153(1)
10.4 Stability Analysis
154(5)
10.5 Discussion on the Case of Bounded Quantizers
159(2)
10.6 Simulation Results
161(1)
10.7 Notes
162(3)
11 Adaptive Output Feedback Control of Systems with Input and Output Quantization
165(12)
11.1 Introduction
165(1)
11.2 Problem Formulation
166(1)
11.3 Design of Adaptive Output Feedback Controller
167(2)
11.4 Stability Analysis
169(5)
11.5 An Illustrative Example
174(2)
11.6 Notes
176(1)
SECTION IV APPLICATIONS
177(34)
12 Adaptive Attitude Control of Helicopter with Quantization
179(16)
12.1 Introduction
179(2)
12.2 Problem Statement
181(2)
12.2.1 System Model
181(2)
12.2.2 Quantized System
183(1)
12.3 Adaptive Control Design
183(6)
12.3.1 Continuous Inputs
184(3)
12.3.2 Inputs Quantization
187(2)
12.4 Experimental Results
189(3)
12.4.1 Results without Quantization
190(1)
12.4.2 Results with Quantization
190(1)
12.4.3 Comparing Results
190(2)
12.5 Notes
192(3)
13 Quantized Distributed Secondary Control for DC Microgrid
195(12)
13.1 Introduction
195(1)
13.2 Problem Formulation and Control Objective
196(2)
13.2.1 Droop Control
197(1)
13.2.2 Control Objective
197(1)
13.2.3 Data Communication Network
197(1)
13.3 Quantized Distributed Secondary Control
198(3)
13.4 Case Studies
201(4)
13.4.1 Case 1: Resistive Load
202(1)
13.4.2 Case 2: ZIP Loads
202(3)
13.5 Notes
205(2)
14 Conclusions and Future Challenges
207(4)
14.1 Conclusions
207(1)
14.2 Future Challenges
208(3)
Appendix A 211(2)
Appendix B 213(2)
Appendix C 215(2)
Appendix D 217(2)
References 219(12)
Index 231
Jing Zhou is currently a Full Professor at the Faculty of Engineering and Science, University of Agder, Norway, and a Research Director of the Priority Research Center of Mechatronics.

Lantao Xing is a Presidential Postdoctoral Fellow at the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore.

Changyun Wen is currently a Full Professor at the Nanyang Technological University, Singapore.
Pastovi nuoroda: https://www.kriso.lt/db/9781003176626_pe.html
Raktažodžiai: