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计算机控制系统(理论与设计第3版)
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计算机控制系统(理论与设计第3版)

  • 作者:(外国)(Astrom) (外国)(Wittenmark)
  • 出版社:清华大学出版社
  • ISBN:9787302050087
  • 出版日期:2002年01月01日
  • 页数:557
  • 定价:¥49.00
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    内容提要
    全书共分13章,概述了计算机控制系统的历史与发展,介绍如何通过对连续系统进行采样得到离散系统,基于传递函数的优化设计方法,包括*优预报及*小方差控制等内容。
    目录
    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, andDetectability
    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

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