現(xiàn)代控制理論與分析

內(nèi)容概要

本書將現(xiàn)代控制理論方法與電力工程實踐緊密結(jié)合，主要介紹了控制系統(tǒng)的狀態(tài)空間表達(dá)式、控制系統(tǒng)狀態(tài)空間表達(dá)式的解、線性系統(tǒng)的能控性與能觀性、穩(wěn)定性與Lyapunov方法、線性定常系統(tǒng)的綜合、最優(yōu)控制等。
本書既可作為高等學(xué)校電氣工程和自動化專業(yè)學(xué)生、教師的教學(xué)用書，也可作為從事相關(guān)專業(yè)技術(shù)研究人員的參考用書。

書籍目錄

Introduction
　O.1 Development of control theory
　0.2 Structural requirements and control features of the
system
　0.3 Nonlinear control in power system
　0.4 The main content of modern control ll~eory
Chapter 1 State-space expression of control system
　1. 1 The basic concepts
　1.2 The simulation structure diagram of state:space
expression
　1.3 The construction of state-space expression
　1.4 The construction of state-space expression from transfer
function
　1.5 Transfer function and transfer function matrix from
transfer function to state e
　1.6 State-space expression of composite system
　1.7 Linear transformation
　1.8 State-space expression of discrete system
　Exercise
Chapter 2 The solution of state-space expression of control
system
　2.1 Solution of homogeneous state equation of linear
time-invariant system
　2.2 Matrix exponent
　2.3 Homogeneous solution of time-varying system
　2.4 State transfer matrix
　2.5 Solution of linear continuous system non-homogeneous
state equation
　2.6 Solution of discrete-time system state equation
　2.7 Discretization of continuous time-state-space
expression
　Exercise
Chapter 3 Controllability and observability of linear
system
　3.1 Controllability of time-invariant discrete system
　3.2 Controllability of time-invariable continuous
system
　3.3 Observability of time-invariant system
　3.4 Controllability and observability of linear time-varying
system
　3.5 The dual relation of controllability and
observability
　3.6 Structural decomposition of linear time-invariant
system
　3.7 Relation of controllability, observability and transfer
function matrix
　3.8 Controllability standard and observability
standard
　3.9 System realization
　Exercise
Chapter 4 Stability and Lyapnnov method
　4.1 The basic concept of stability
　4.2 The basic idea of Lyapunov function
　4.3 Lyapunov function stability method
　4.4 Asymptotic stability
　4.5 Some common construction method of Lyapunov
function
　4.6 Vector Lyapunov function
　4.7 Application of Lyapunov methods in linear system
　4.8 Lyapunov method in Hamilton system
　Exercise
Chapter 5 Synthesis of linear time-invariant system
　5.1 Definition and property of state feedback
　5.2 Pole assignment
　5.3 System stabilization problem
　5.4 System decoupling problem
　5.5 State observer
　Exercise
Chapter 6 Optimal control
　6.1 Summary
　6.2 Variational methods of solving optimal control
　6.3 Hamilton function
　6.4 Phorcha problem
　6.5 Minimum principle
　6.6 Dynamic programming
　6.7 Linear quadratic optimal control problem
　Exercise

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