|
|
|
| 原价:
¥49.00(以下报价瞬息万变,建议您点击全部站点比对) | | |通过以下方式购买,或许更便宜: |
|
|
| |
【作 者】 K.J.Astrom
【开 本】16 【版 次】0次
【分 类】 计算机书店>>工程控制
【页 数】
0
【字 数】
0
【日 期】
2002年1月
【装 帧】
简装
【出版社】
清华大学出版社
【ISBN】
0
【关注程度】已有1123人关注该图书
【版本状态】『全图版』
|
|
|
|
|
|
我要购书网的承诺:本网上购书中心所出售的"计算机控制系统——理论与设计(第3版)(影印版)"图书保证正版,您在本购书中心享有收到图书七天内无条件退货!收到商品15日之内换货的待遇!
|
| |
退货规定:从本网上书店所购买的图书如有质量问题(字迹模糊/缺页/倒装/开线/开胶/折页/封皮破损/缺少随书赠品),可在收到商品7日之内可退货 |
| |
换货规定:从本购书中心所购买"计算机控制系统——理论与设计(第3版)(影印版)"图书如有质量问题(字迹模糊/缺页/倒装/开线/开胶/折页/封皮破损/缺少随书赠品),可在收到商品15日之内换货
|
|
| |
| 本书是控制领域的一本经典著作,两位作者也是国际控制界的知名学者,本书及前期版本被国外许多大学采用作为教材。新版(第3版)在不增加篇幅的情况下,增加了大量反映计算机控制系统理论与实践进展的内容。 ** 在体系结构上,既考虑了和控制理论的接轨又较好地处理了与计算机技术的衔接。 ** 在内容组织上,强调理论联系实际。不仅给出理论的结果,而且给出实用的算法和对一些实际问题的考虑。同时引入 Matlab与Simulink作为计算机辅助设计控制系统的软件工具,从而使所介绍的理论和方法更易于接受和应用。 ** 设有专门的网址提供教学用的参考资料。 |
| |
| Preface 1. Computer Control 1.1 Introduction 1.2 Computer Technology 1.3 Computer-Control Theory 1.4 Inherently Sampled Systems 1.5 How Theory Developed 1.6 Notes and References 2. Discrete-Time Systems 2.1 Introduction 2.2 Sampling Continuous-Time Signals 2.3 Sampling a Continuous-Time State-Space System 2.4 Discrete-Time Systems 2.5 Changing Coordinates in State-Space Models 2.6 Input-Output Models 2.7 The z-Transform 2.8 Poles and Zeros 2.9 Selection of Sampling Rate 2.10 Problems 2.11 Notes and References 3. Analysis of Discrete-Time Systems 3.1 Introduction 3.2 Stability 3.3 Sensitivity and Robustness 3.4 Controllability, Reachability, Observability, and Detectability 3.5 Analysis of Simple Feedback Loops 3.6 Problems 3.7 Notes and References 4. Pole-Placement Design: A State-Space Approach 4.1 Introduction 4.2 Control-System Design 4.3 Regulation by State Feedback 4.4 Observers 4.5 Output Feedback 4.6 The Servo Problem 4.7 A Design Example 4.8 Conclusions 4.9 Problems 4.10 Notes and References 5. Pole-Placement Design: A Polynomial Approach 5.1 Introduction 5.2 A Simple Design Problem 5.3 The Diophantine Equation 5.4 More Realistic Assumptions 5.5 Sensitivity to Modeling Errors 5.6 A Design Procedure 5.7 Design of a Controller for the Double Integrator 5.8 Design of a Controller for the Harmonic Oscillator 5.9 Design of a Controller for a Flexible Robot Arm 5.10 Relations to Other Design Methods 5.11 Conclusions 5.12 Problems 5.13 Notes and References 6. Design: An Overview 6.1 Introduction 6.2 Operational Aspects 6.3 Principles of Structuring 6.4 A Top-Down Approach 6.5 A Bottom-Up Approach 6.6 Design of Simple Loops 6.7 Conclusions 6.8 Problems 6.9 Notes and References 7. Process-Oriented Models 7.1 Introduction 7.2 A Computer-Controlled System 7.3 Sampling and Reconstruction 7.4 Aliasing or Frequency Folding 7.5 Designing Controllers with Predictive First-Order Hold 7.6 The Modulation Model 7.7 Frequency Response 7.8 Pulse-Transfer-Function Formalism 7.9 Multirate Sampling 7.10 Problems 7.11 Notes and References 8. Approximating Continuous-Time Controllers 8.1 Introduction 8.2 Approximations Based on Transfer Functions 8.3 Approximations Based on State Models 8.4 Frequency-Response Design Methods 8.5 Digital PID-Controllers 8.6 Conclusions 8.7 Problems 8.8 Notes and References 9. Implementation of Digital Controllers 9.1 Introduction 9.2 An Overview 9.3 Prefiltering and Computational Delay 9.4 Nonlinear Actuators 9.5 Operational Aspects 9.6 Numerics 9.7 Realization of Digital Controllers 9.8 Programming 9.9 Conclusions 9.10 Problems 9.11 Notes and References 10. Disturbance Models 10.1 Introduction 10.2 Reduction of Effects of Disturbances 10.3 Piecewise Deterministic Disturbances 10.4 Stochastic Models of Disturbances 10.5 Continuous-Time Stochastic Processes 10.6 Sampling a Stochastic Differential Equation 10.7 Conclusions 10.8 Problems 10.9 Notes and References 11. Optimal Design Methods: A State-Space Approach 11.1 Introduction 11.2 Linear Quadratic Control 11.3 Prediction and Filtering Theory 11.4 Linear Quadratic Gaussian Control 11.5 Practical Aspects 11.6 Conclusions 11.7 Problems 11.8 Notes and References 12. Optimal Design Methods: A Polynomial Approach 12.1 Introduction 12.2 Problem Formulation 12.3 Optimal Prediction 12.4 Minimum-Variance Control 12.5 Linear Quadratic Gaussian (LQG) Control 12.6 Practical Aspects 12.7 Conclusions 12.8 Problems 12.9 Notes and References l3. Identification 13.1 Introduction 13.2 Mathematical Model Building 13.3 System Identification 13.4 The Principle of Least Squares 13.5 Recursive Computations 13.6 Examples 13.7 Summary 13.8 Problems 13.9 Notes and References A. Examples B. Matrices B.1 Matrix Functions B.2 Matrix-Inversion Lemma B.3 Notes and References Bibliography Index |
|
|