西安石油大学电子工程学院：《自动控制理论 Modern Control System》精品课程教学资源（英文文献资料）A Comparison of Robustness：Fuzzy Logic,PID,Sliding Mode Control

西安石油大学电子工程学院：《自动控制理论 Modern Control System》精品课程教学资源（英文文献资料）Mathematical Control Theory Chapter 1 Introduction

西安石油大学电子工程学院：《自动控制理论 Modern Control System》精品课程教学资源（英文文献资料）Feedback Control

1 Introduction 2 Deterministic Dynamic Programming and Viscosity Solutions 2.1 Introduction 2.2 Value Functions are Viscosity Solutions 2.3 Comparison and Uniqueness 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

西安石油大学电子工程学院：《自动控制理论 Modern Control System》精品课程教学资源（英文PPT课件）Introduction

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 3.6 The Relative Stability of Feedback Control Systems

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

西安石油大学电子工程学院：《自动控制理论 Modern Control System》精品课程教学资源（英文PPT课件）Mathematical Foundation

Frequency response is the analysis of the response of systemswhen subjected to a sinusoidal change in input. When a linear system is subjected to a sinusoidal input, its ultimate response is also a sustained sinusoidal wave, with the same frequency. The figure below compares the output response of a system (solid line) with a sinusoidal input (dashed line) disturbing the system

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