现代主要控制方法的研究现状及展望

系统描述了控制问题的一般数学形式，针对现代控制理论各个研究领域，如最优控制、鲁棒控制、滑模控制、(人工)智能控制(包含容错控制，自适应控制，模糊控制，神经网络控制)和大系统控制等，分别系统总结了它们的构建思路、概念机理与发展现状，分析了它们的特性及不足，并对其发展趋势进行了论述。最后针对目前控制理论的研究状况，对未来控制理论及其特性进行了概括与展望。

Primary Methodologies of Modern Control: Status and Prospect

This paper presents the general form of control theory problem. Regarding on all primary research fields of control theory, such as optimal control, robust control, sliding model control, (artificial) intelligent control (which includes faults-tolerant control, self-adaptive control, fuzzy control, neural control and so on) and control for large-scale system, the paper summarizes the concepts, principles and ways of construction, and analyzes their priorities and drawbacks, as well as their developing trends. Finally, the paper prospects the future control theory and its characters.