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3.1 各种常用信号和系统 3.2 一阶系统的时域分析 3.3 二阶系统的时域分析 3.4 高阶系统的时域分析 3.5 线性系统的稳定性分析 3.6 控制系统的稳态误差 3.7 基于MATLAB的线性系统时域分析
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System compensation is the process of designing a controller that will produce an acceptable transient response while maintaining a desired steady-state accuracy .These two design objectives are conflicting in most systems ,since small errors imply high gains reduce system stability and may even drive the system unstable .Compensation may be thought of as the process of increasing the stability of a system without reducing its accuracy below minimum acceptable standards
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1 Introduction 2 Deterministic Dynamic Programming and Viscosity Solutions 3 Stochastic Control 3.1 Some Probability Theory 3.2 Controlled State Space Models 3.3 Filtering 3.4 Dynamic Programming - Case I : Complete State Information 3.5 Dynamic Programming - Case II : Partial State Information 3.6 Two Continuous Time Problems 4 Robust Control 4.1 Introduction and Background 4.2 The Standard Problem of H∞ Control 4.3 The Solution for Linear Systems 4.4 Risk-Sensitive Stochastic Control and Robustness 5 Optimal Feedback Control of Quantum Systems 5.1 Preliminaries 5.2 The Feedback Control Problem 5.3 Conditional Dynamics 5.4 Optimal Control 5.5 Appendix: Formulas for the Two-State System with Feedback Example 6 Optimal Risk-Sensitive Feedback Control of Quantum Systems 6.1 System Model 6.2 Risk-Neutral Optimal Control 6.3 Risk-Sensitive Optimal Control 6.4 Control of a Two Level Atom 6.5 Control of a Trapped Atom
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1. Automatic Control System 1.1 Introduction 1.2 An example 1.3 Types of control system 2. Mathematical Foundation 2.1 The transfer function concept 2.2 The block diagram. 2.3 Signal flow graphs 2.4 Construction of signal flow graphs 2.5 General input-output gain transfer 3. Time-Domain Analysis Of Control System 3.1 Introduction 3.2 Typical test signals for time response of control systems 3.3 First –Order Systems 3.4 Performance of a Second-Order System 3.5 Concept of Stability 4. The Root Locus Techniques 4.1 Introduction 4.2 Root Locus Concept 4.3 The Root Locus Construction Procedure for General System 4.4 The zero-angle (negative) root locus 5. Frequency-Domain Analysis of Control System 5.1 Frequency Response 5.2 Bode Diagrams 5.3 Bode Stability Criteria 5.4 The Nyquist Stability Criterion 6. Control system design 6.1 Introduction 6.2 Cascade Lead Compensation 6.3 Properties of the Cascade Lead Compensator 6.4 Parameter Design by the Root Locus Method
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本标准规定了传感器的产品名称和性能特性术语,作为传感器专业统一技术用语的依据。 本标准适用于传感器的生产、科学研究、教学以及其他有关技术领域
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生产过程的大型化和复杂化,操作条件要求更加严格,各变量之间的关系更加复杂,对生产、质量、安全、环保的更高要求。出现了许多简单调节系统不能胜任控制任务。复杂调节系统是以简单系统为基础的结构或算法上更为先进的控制方法
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• §1. 开环控制系统与闭环控制系统 • §2.闭环控制系统的组成和基本环节 • §3.自动控制系统的类型 • §4.自动控制系统的性能指标
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“专家系统是一种智能的计算机程序, 其内部含有大量某个领域专家水平的知 识与经验,能够模拟人类专家的思维过 程,求解该领域内需要专家才能解决的 困难问题
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自动控制的一般概念 • 自动控制的基本问题 • 自动控制系统的分类 • 自动控制系统的组成和常用术语 • 典型自动控制系统
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2.1 数学基础 2.2 物理系统的微分方程描述 2.3 传递函数 2.4 方框图 2.5 信号流图 总结
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