含有模糊参数的大规模稳态系统的智能优化方法  

A NOVEL INTELLIGENT OPTIMIZING METHOD FOR LARGE-SCALE STEADY-STATE SYSTEMS WITHFUZZY PARAMETERS

作　　者：李龙洙[1] 秦世引[1] 万百五[1] 

机构地区：[1]西安交通大学系统工程研究所

出　　处：《系统工程学报》1992年第2期1-11,共11页Journal of Systems Engineering

摘　　要：本文在稳态递阶智能控制系统结构模式的基础上,给出了含有模糊参数的稳态递阶智能控制系统的具体描述,提出了含有模糊参数的稳态递阶系统智能优化控制算法,并给出了关于系统满意解的几个定理。最后,就典型实例进行了数值仿真研究。In this paper, a proper description for steady-state hierarchical intelligent control system with fuzzy parameters is given based on the structural model of general steady-state hierarchical intelligent control systems. A novel intelligent optimizing method for large-scale steady-state systems with fuzzy parameters and several theorems about noninferior solution are proposed. The simulation results for some typical problems illustrate the effectiveness of the new method.

关 键 词：模糊参数 稳态大系统 智能优化 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]