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自适应控制
  • 其他作者:Bjōrn Wittenmark
  • 书号:7030111478
    作者:Karl J.Astrom, Bjorn Wittenmark
  • 外文书名:
  • 装帧:平装
    开本:16开
  • 页数:592
    字数:854000
    语种:英文
  • 出版社:科学出版社
    出版时间:2003-04-02
  • 所属分类:TP2 自动化技术及设备
  • 定价: ¥48.00元
    售价: ¥37.92元
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本书为国外高校电子信息类优秀教材(英文影印版)之一。
本书综合地展现了自适应控制的全貌,并全面而精炼地对自适应控制的理论与实现作了有深度的论述。针对第一版读者的反馈,作者在第二版中重新组织了书中的材料,使内容安排更加合理,易于教学。
本书适合作为自动化、控制专业高年级本科生和研究生教学用书。
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目录

  • 1 WHAT IS ADAPTIVE CONTROL?
    1.1 Introduction
    1.2 Linear Feedback
    1.3 Effects of Process Variations
    1.4 Adaptive Schemes
    1.5 The Adaptive Control Problem
    1.6 Applications
    1.7 Conclusions
    Problems
    References
    2 REAL-TIME PARAMETER ESTIMATION
    2.1 Introduction
    2.2 Least Squares and Regression Models
    2.3 Estimating Parameters in Dynamical Systems
    2.4 Experimental Conditions
    2.5 Simulation of Recursive Estimation
    2.6 Prior Information
    2.7 Conclusions
    Problems
    References
    3 DETERMINISTIC SELF-TUNING REGULATORS
    3.1 Introduction
    3.2 Pole Placement Design
    3.3 Indirect Self-tuning Regulators
    3.4 Continuous-Time Self-tuners
    3.5 direct Self-tuning Regulators
    3.6 Disturbances with Known Characteristics
    3.7 Conclusions
    Problems
    References
    4 STOCHASTIC AND PREDICTIVE SELF-TUNING REGULATORS
    4.1 Introduction
    4.2 Design of Minimum-Variance and Moving-Average Controllers
    4.3 Stochastic Self-tuning Regulators
    4.4 Unification of Direct Self-tuning Regulators
    4.5 Linear Quadratic STR
    4.6 Adaptive Predictive Control
    4.7 Conclusions
    Problems
    References
    5 MODEL-REFERENCE ADAPTIVE SYSTMES
    5.1 Introduction
    5.2 The MIT Rule
    5.3 Determination of the Adaptation Gain
    5.4 Lyapunov Theory
    5.5 Design of MRAS Using Lyapunov Theory
    5.6 Bounded-Input,Bounded-Output Stability
    5.7 Applications to Adaptive Control
    5.8 Output Feedback
    5.9 Relations between MRAS and STR
    5.10 Nonlinear Systems
    5.11 Conclusions
    Problems
    References
    6 PROPERTIES OF ADAPTIVE SYSTEMS
    6.1 Introduction
    6.2 Nonlinear Dynamics
    6.3 Adaptation of a Feedforward Gain
    6.4 Analysis of Indirect Discrete-Time Self-tuners
    6.5 Stability of Direct Discrete-Time Algorithms
    6.6 Averaging
    6.7 Application of Averaging Techniques
    6.8 Averaging in Stochastic Systems
    6.9 Robust Adaptive Controllers
    6.10 Conclusions
    Problems
    References
    7 STOCHASTIC ADAPTIVE CONTROL
    7.1 Introduction
    7.2 Multistep Decision Problems
    7.3 The Stochastic Adaptive Problem
    7.4 Dual Control
    7.5 Suboptimal Strategies
    7.6 Examples
    7.7 Conclusions
    Problems
    References
    8 AUTO-TUNING
    8.1 Introduction
    8.2 PID Control
    8.3 Auto-tuning Techniques
    8.4 Transient Response Methods
    8.5 Methods Based on Relay Feedback
    8.6 Relay Oscillations
    8.7 Conclusions
    Problems
    References
    9 GAIN SCHEDULING
    9.1 Introduction
    9.2 The Principle
    9.3 Design of Gain-Scheduling Controllers
    9.4 Nonlinear Transformations
    9.5 Applications of Gain Scheduling
    9.6 Conclusions
    Problems
    References
    10 ROBUST AND SELF-OSCILLATING SYSTEMS
    10.1 Why Not Adaptive Control?
    10.2 Robust High-Gain Feedback Control
    10.3 Self-oscillating Adaptive Systems
    10.4 Variable-Structure Systems
    10.5 Conclusions
    Problems
    References
    11 PRACTICAL ISSUES AND IMPLEMENTATION
    11.1 Introduction
    11.2 Controller Implementation
    11.3 Controller Design
    11.4 Solving the Diophantine Equation
    11.5 Estimator Implementation
    11.6 Square Root Algorithms
    11.7 Interaction of Estimation and Control
    11.8 Probotype Algorithms
    11.9 Operational Issues
    11.10 Conclusions
    Problems
    Peferences
    12 COMMERCIAL PRODUCTS AND APPLICATIONS
    12.1 Introduction
    12.2 Status of Applications
    12.3 Industrial Adaptive Controllers
    12.4 Some Industrial Adaptive Controllers
    12.5 Process Control
    12.6 Automobile Control
    12.7 Ship Steering
    12.8 Ultrafiltration
    12.9 Conclusions
    References
    13 PERSPECTIVES ON ADAPTIVE CONTROL
    13.1 Introduction
    13.2 Adaptive Signal Processing
    13.3 Extremum Control
    13.4 Expert Control Systems
    13.5 Learing Systems
    13.6 Future Trends
    13.7 Conclusions
    References
    INDEX
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