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『簡體書』非线性系统(第三版)(英文版)

書城自編碼: 3302632
分類:簡體書→大陸圖書→教材研究生/本科/专科教材
作者: [美] Hassan K.,Khalil[哈森 ? K.,哈
國際書號(ISBN): 9787121357367
出版社: 电子工业出版社
出版日期: 2019-01-01


書度/開本: 16开 釘裝: 平装

售價:HK$ 174.2

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《 现代控制系统(第十二版) 》
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《 现代控制系统(第十二版)(英文版) 》
編輯推薦:
美国密歇根州立大学电气与计算机工程专业的研究生教材,全书内容按照数学知识的由浅入深分成:
■ 基本分析。介绍非线性系统的基本概念和基本分析方法
■ 反馈系统分析。介绍输入-输出稳定性、无源性和反馈系统的频域分析
■ 现代分析。介绍现代稳定性分析的基本概念、扰动系统的稳定性、扰动理论和平均化以及奇异扰动理论
■ 非线性反馈控制。介绍反馈控制的基本概念和反馈线性化,并给出了几种非线性设计工具。如滑模控制、李雅普诺夫再设计、反步设计法、基于无源的控制和高增益观测器等
內容簡介:
非线性系统的研究近年来受到越来越广泛的关注,国外许多工科院校已将"非线性系统作为相关专业研究生的学位课程。本书是美国密歇根州立大学电气与计算机工程专业的研究生教材,全书内容按照数学知识的由浅入深分成了四个部分。基本分析部分介绍了非线性系统的基本概念和基本分析方法;反馈系统分析部分介绍了输入-输出稳定性、无源性和反馈系统的频域分析;现代分析部分介绍了现代稳定性分析的基本概念、扰动系统的稳定性、扰动理论和平均化以及奇异扰动理论;非线性反馈控制部分介绍了反馈线性化,并给出了几种非线性设计工具,如滑模控制、李雅普诺夫再设计、反步设计法、基于无源性的控制和高增益观测器等。此外本书附录还汇集了一些书中用到的数学知识,包括基本数学知识的复习、压缩映射和一些较为复杂的定理证明。本书已根据作者于2017年2月更新过的勘误表进行过更正。
關於作者:
美国密歇根大学电气与计算机工程系University Distinguished教授。1989年由于其在奇异扰动理论及其在控制中的应用方面的成就被选为IEEE会士。多年来一直从事非线性系统的教学和研究工作,主要研究方向包括非线性(鲁棒和自适应)控制、奇异扰动理论和电驱动控制。本书第二版曾于2002年获国际自动控制联合会(IFAC)授予的控制工程教材奖。
美国密歇根大学电气与计算机工程系University Distinguished教授。1989年由于其在奇异扰动理论及其在控制中的应用方面的成就被选为IEEE会士。多年来一直从事非线性系统的教学和研究工作,主要研究方向包括非线性(鲁棒和自适应)控制、奇异扰动理论和电驱动控制。本书第二版曾于2002年获国际自动控制联合会(IFAC)授予的控制工程教材奖。
目錄
Contents
1Introduction
1.1Nonlinear Models and Nonlinear Phenomena
1.2Examples
1.2.1Pendulum Equation
1.2.2Tunnel-Diode Circuit
1.2.3Mass-Spring System
1.2.4Negative-Resistance Oscillator
1.2.5Artificial Neural Network
1.2.6Adaptive Control
1.2.7Common Nonlinearities
1.3Exercises
2 Second-Order Systems
2.1Qualitative Behavior of Linear Systems
2.2Multiple Equilibria
2.3Qualitative Behavior Near Equilibrium Points
2.4Limit Cycles
2.5Numerical Construction of Phase Portraits
2.6Existence of Periodic Orbits
2.7Bifurcation
2.8Exercises
3 Fundamental Properties
3.1Existence and Uniqueness
3.2Continuous Dependence on Initial Conditions and Parameters
3.3Differentiability of Solutions and Sensitivity Equations
3.4Comparison Principle
3.5Exercises
4 Lyapunov Stability
4.1Autonomous Systems
4.2The Invariance Principle
4.3Linear Systems and Linearization
4.4Comparison Functions
4.5Nonautonomous Systems
4.6Linear Time-Varying Systems and Linearization
4.7Converse Theorems
4.8Boundedness and Ultimate Boundedness
4 9Input-to-State Stability
4.10 Exercises
5 Input-Output Stability
5.1L Stability
5.2L1 Stability of State Models
5.3L2 Gain
5.4Feedback Systems: The Small-Gain Theorem
5.5Exercises
6 Passivity
6.1Memoryless Functions
6.2State Models
6.3Positive Real Transfer Functions
6.4L2 and Lyapunov Stability
6.5Feedback Systems: Passivity Theorems
6.6Exercises
7Frequency Domain Analysis of Feedback Systems
7.1Absolute Stability
7.1.1Circle Criterion
7.1.2Popov Criterion
7.2The Describing Function Method
7.3Exercises
8Advanced Stability Analysis
8.1The Center Manifold Theorem
8.2Region of Attraction
8.3Invariance-like Theorems
8.4Stability of Periodic Solutions
8.5Exercises
9Stability of Perturbed Systems
9.1Vanishing Perturbation
9.2Nonvanishing Perturbation
9.3Comparison Method
9.4Continuity of Solutions on the Infinite Interval
9.5Interconnected Systems
9.6Slowly Varying Systems
9.7Exercises
10 Perturbation Theory and Averaging
10.1 The Perturbation Method
10.2 Perturbation on the Infinite Interval
10.3 Periodic Perturbation of Autonomous Systems
10.4 Averaging
10.5 Weakly Nonlinear Second-Order Oscillators
10 6 General Averaging
10.7 Exercises
11 Singular Perturbations
11.1 The Standard Singular Perturbation Model
11.2 Time-Scale Properties of the Standard Model
11.3 Singular Perturbation on the Infinite Interval
11.4 Slow and Fast Manifolds
11.5 Stability Analysis
11.6 Exercises
12 Feedback Control
12.1 Control Problems
12.2 Stabilization via Linearization
12.3 Integral Control
12.4 Integral Control via Linearization
12.5 Gain Scheduling
12.6 Exercises
13 Feedback Linearization
13.1 Motivation
13.2 Input-Output Linearization
13.3 Full-State Linearization
13.4 State Feedback Control
13.4.1 Stabilization
13.4.2 Tracking
13.5 Exercises
14 Nonlinear Design Tools
14.1 Sliding Mode Control
14.1.1 Motivating Example
14.1.2 Stabilization
14.1.3 Tracking
14.1.4 Regulation via Integral Control
14.2 Lyapunov Redesign
14.2.1 Stabilization
14.2.2 Nonlinear Damping
14.3 Backstepping
14.4 Passivity-Based Control
14.5 High-Gain Observers
14.5.1 Motivating Example
14.5.2 Stabilization
14.5.3 Regulation via Integral Control
14.6 Exercises
A Mathematical Review
B Contraction Mapping
C Proofs
Note and References
Bibliography
Symbols
Index
內容試閱
本书为美国密歇根州立大学电气与计算机工程专业研究生教材。全书内容按照数学知识的由浅入深分成:
■ 基本分析。介绍非线性系统的基本概念和基本分析方法
■ 反馈系统分析。介绍输入-输出稳定性、无源性和反馈系统的频域分析
■ 现代分析。介绍现代稳定性分析的基本概念、扰动系统的稳定性、扰动理论和平均化以及奇异扰动理论
■ 非线性反馈控制。介绍反馈控制的基本概念和反馈线性化,并给出了几种非线性设计工具。如滑模控制、李雅普诺夫再设计、反步设计法、基于无源的控制和高增益观测器等
网站www.prenhall.comkhalil提供本书的各种相关资料,包括版本更新的修改说明、关于组织课程教学的建议、勘误表及补充习题等,还提供了部分习题答案。
Preface
This text is intended for a first-year graduate-level course on nonlinear systems or control. It may also be used for self study or reference by engineers and applied mathematicians. It is an outgrowth of my experience teaching the nonlinear systems course at Michigan State University, East Lansing. Students taking this course have had background in electrical engineering, mechanical engineering, or applied mathematics. The prerequisite for the course is a graduate-level course in linear systems, taught at the level of the texts by Antsaklis and Michel [9], Chen [35], Kailath [94], or Rugh [158]. The linear systems prerequisite allowed me not to worry about introducing the concept of "state" and to refer freely to "transfer functions," "state transition matrices", and other linear system concepts. The mathematical background is the usual level of calculus, differential equations, and matrix theory that any graduate student in engineering or mathematics would have. In the Appendix, I have collected a few mathematical facts that are used throughout the book.
I have written the text in such a way that the level of mathematical sophistication increases as we advance from chapter to chapter. This is why the second chapter is written in an elementary context. Actually, this chapter could be taught at senior, or even junior, level courses without difficulty. This is also the reason I have split the treatment of Lyapunov stability into two parts. In Sections 4.1 through 4.3, I introduce the essence of Lyapunov stability for autonomous systems where I do not have to worry about technicalities such as uniformity, class K functions, etc. In Sections 4.4 through 4.6, I present Lyapunov stability in a more general setup that accommodates nonautonomous systems and allows for a deeper look into advanced aspects of the stability theory. The level of mathematical sophistication at the end of Chapter 4 is the level to which I like to bring the students, so that they can comfortably read the rest of the text.
There is yet a higher level of mathematical sophistication that is assumed in writing the proofs in the Appendix. These proofs are not intended for classroom use. They are included to make the text on one hand, self contained, and, on the other, to respond to the need or desire of some students to read such proofs, such as students continuing on to conduct Ph.D. research into nonlinear systems or control theory. Those students can continue to read the Appendix in a self-study manner.
This third edition has been written with the following goals in mind:
1. To make the book especially the early chapters more accessible to first-year graduate students. As an example of the changes made toward that end, note the change in Chapter 3: All the material on mathematical background, the contraction mapping theorem, and the proof of the existence and uniqueness theorem have been moved to the Appendix. Several parts of the books have been rewritten to improve readability.
2. To reorganize the book in such a way that makes it easier to structure nonlinear systems or control courses around it. In the new organization, the book has four parts, as shown in the flow chart. A course on nonlinear systems analysis will cover material from Parts 1, 2, and 3, while a course on nonlinear control will cover material from Parts 1, 2, and 4.
3. To update the material of the book to include topics or results that have proven to be useful in nonlinear control design in recent years. New to the third addition are the: expanded treatment of passivity and passivity-based control, integral control, sliding mode control, and high-gain observers. Moreover, bifurcation is introduced in the context of second-order systems. On the technica

 

 

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