预测控制是当前在工业过程控制领域得到广泛重视和应用的一种新型控制算法。本课程全面地介绍了预测控制的原理、算法和应用。主要内容包括；预测控制基本原理；动态矩阵控制、广义预测控制和其它典型预测控制算法；预测控制系统基于内模控制结构的分析；多变量约束预测控制的问题描述、在线优化和分解算法；非线性预测控制的一般描述和特殊非线性系统的预测控制算法；预测控制系统性能的定性分析；预测控制方法的多样化发展；预测控制的工业应用；预测控制原理对动态不确定环境下规划、调度等问题的推广。

Predictive control is a new type of control algorithms which has been widely used in industrial process control. This course introduces the principles, algorithms and applications of predictive control. The main contents include: the basic principles of predictive control, Dynamic Matrix Control, Generalized Predictive Control and other typical predictive control algorithms, quantitative analysis of predictive control systems based on Internal Model Control structure, problem formulation, on-line optimization and decomposition algorithms of multi-variable constrained predictive control, general description of nonlinear predictive control and algorithms for some special nonlinear systems, qualitative performance analysis of predictive control systems, developments of predictive control methods, industrial application of predictive control, generalization of predictive control principles for planning and scheduling problems in uncertain dynamic environment.