全书主要内容包括控制科学的精神、反馈控制的功用、基于拉普拉斯变换的控制系统建模与合成、控制系统稳定性分析、控制系统性能指标与设计、状态空间分析与控制、若干有代表性的高级控制方法。全书提供了大量面向实际应用的实践案例，并配有原创仿真代码，帮助读者理解相关知识并真正做到学以致用。
本书可作为理工科学生的控制理论、自动控制原理等相关课程教学用书，也可供从事自动化与系统控制相关工作的科技人员、工程师阅读参考。

李颢，上海交通大学副教授，博士生导师。自幼迪蒙，然承庭训慈养、长尊泽润，乃不至于冥顽，且登于教化，曷胜忻幸。笃志破万卷于琅嫘，神交圣贤；冀望行万里于四海，广阅人生。及长，负笈求学于南洋浦畔，深造留学于法兰西国，先学后工，徜徉北法南法近十载。归国，续缘母校，矢志传道授业，将平素所知、所行、所经、所历之感触寓诸教学。亦不辍探赜索隐、钩深致远；恒秉格物致知、格心致德之理念。

Chapter 1 Introduction
1.1 Control systems
1.2 Closed-loop feedback control systems
1.3 Examples of closed-loop feedback control systems
1.4 Control theory
Chapter 2 Feedback Control
2.1 Open-loop control
2.2 Control system simulation
2.3 Feedback control: first utility
2.3.1 Control system with uncertainty
2.3.2 Debut of feedback control
2.3.3 Feedback control's ability in handling uncertainty
2.4 Feedback control: second utility
2.5 Limitations of intuitive feedback control
2.6 Necessity of control theory
Chapter 3 System Modelling via Laplace Transform
3.1 Differential equations of physical systems
3.2 Laplace transform
3.2.1 Common Laplace transform pairs
3.2.2 Solve differential equations via Laplace transform
3.2.3 Partial fraction decomposition
3.3 Transfer function
3.4 Block diagram models
3.4.1 Transfer function block synthesis
3.4.2 Mason signal-flow gain formula
3.5 Note
Chapter 4 Control System Stability
4.1 Intuitive conception of control system stability
4.2 Theoretical analysis of control system stability
4.2.1 Theoretical analysis of closed-loop feedback control examples
4.2.2 Control system characteristic polynomial and poles for stability analysis
4.3 Routh-Hurwitz criterion
4.3.1 Parametrized characteristic polynomial
4.3.2 Locating poles qualitatively according to characteristic polynomial coefficients
4.3.3 Handling zeros in the first column of the Routh array
4.4 Note
Chapter 5 Control System Performance and Design
5.1 Control system accuracy
5.1 ,1 Theoretical analysis of closed-loop feedback control examples
5.1.2 Final value theorem
5.2 Control system responsiveness
5.2.1 Control system characteristic polynomial and poles for responsiveness analysis
5.2.2 Control system response time
5.3 Frequency response analysis
5.3 ,1 Frequency transfer function and Bode plots
5.3.2 Bandwidth and responsiveness
5.3.3 Bode plots for control system identification
5.4 Control system design
5.4.1 Controller parameter design
5.4.2 Root locus method
5.4.3 Root locus example
5.4.4 Routh-Hurwitz criterion based axis shift method
5.5 Classical control versus modern control
Chapter 6 State-Space Analysis and Control
6.1 Single-input-multiple-output control
6.2 State-space modelling
6.2.1 State differential equation
6.2.2 Linear state-space modelling in matrix form
6.2.3 Closed-loop feedback state differential equation
6.2.4 Stability criterion for linear self-evolutionary systems
6.3 Controllability
6.3.1 Solution to linear state differential equation
6.3.2 Controllability matrix
6.4 Full-state feedback control
6.4.1 Control strategy
6.4.2 Design the gain matrix: expedient method
6.4.3 Controllability canonical form of linear state-space modelling
6.4.4 Design the gain matrix: general method
6.4.5 Ackermann formula
6.5 Multiple-input-multiple-output control
6.5.1 Partial controllability
6.5.2 Control input decomposition and iterative design
6.6 State estimation and observability
Chapter 7 Advanced Control
7.1 Sliding mode control
7.2 Optimal control
7.2.1 Minimizing control cost
7.2.2 Linear quadratic regulator
7.2.3 Lyapunov equation
7.2.4 Riccati equation
7.2.5 Solution of linear quadratic regulator
7.3 Model predictive control
7.3.1 System model simplification for optimal control
7.3.2 Dynamical optimal control
7.3.3 Note
7.4 Nonlinear systems and Lyapunov Control
7.4.1 Stability of nonlinear self-evolutionary systems
7.4.2 Lyapunov Control
7.4.3 A thinking journey
7.5 Adaptive control
7.5.1 Adaptive modelling
7.5.2 Adaptive linear state-space modelling based control
Bibliography