一种新的模糊约束满意优化控制算法  

New satisfying optimal control algorithm based on fuzzy constraints handling

作　　者：冯惕[1] 李少远[1] 

机构地区：[1]上海交通大学自动化研究所,上海200030

出　　处：《控制与决策》2004年第2期187-190,共4页Control and Decision

基　　金：国家自然科学基金资助项目(60074004);国家863计划资助课题(2002AA412130).

摘　　要：将模糊满意度概念与以无穷范数为优化指标的鲁棒预测控制相结合,给出了模糊满意度意义下满意控制的一般算法及适用于一般计算机在线优化的实用算法,解决了优化过程中各种要求(目标、约束)的协调、权衡和折衷问题.仿真结果说明了该算法的有效性.By combining the fuzzy satisfactory degree with the robust control that optimizes the criterion of infinite norm, a general algorithm of the satisfactory control under the fuzzy satisfactory degree sense is presented. A practical on-line optimization algorithm that can fit ordinary computers solves the problems of harmonizing is given. The problems of weighing and compromising for many objectives and demands in the optimization process are discussed. Simulation results show the effectiveness of the proposed method.

关 键 词：满意优化控制 模糊满意度 无穷范数 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]