LEARNING CONTROL-SYSTEM ANALYSIS AND DESIGN BASED ON 2-D SYSTEM-THEORY

被引:29
作者
GENG, Z [1 ]
JAMSHIDI, M
机构
[1] GEORGE WASHINGTON UNIV, DEPT ELECT ENGN & COMP SCI, WASHINGTON, DC 20052 USA
[2] UNIV NEW MEXICO, CAD LAB SYST ROBOT, ALBUQUERQUE, NM 87131 USA
关键词
LEARNING CONTROL SYSTEMS; 2-DIMENSIONAL SYSTEMS; INTELLIGENT CONTROL;
D O I
10.1007/BF00368970
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The connections between two research areas, intelligent control systems and multi-dimensional systems, are established. Two-dimensional (2-D) system theory is used to analyze a class of learning control systems. The 2-D state-space model of a learning control system is given. A class of learning control laws is proposed and the convergence of the learning process can be checked based on a 2-D model of the learning control system. The theory and methods proposed in this paper not only provide the learning control system with powerful tools for analysis and design, but also offer a multi-dimensional system theory with a new field of application as well as some new problems for further exploration.
引用
收藏
页码:17 / 26
页数:10
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