期刊文献+

基于蚁群算法的模糊控制规则优化设计

Optimization Design of Fuzzy Control Rules Based on Ant Algorithm
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摘要 为了避免设计模糊控制系统时遇到的“规则爆炸”问题,提出基于模糊相容系数的模糊规则优化方法.该方法定义了模糊规则的相容程度,得出的相容系数矩阵作为蚁群算法的启发式因子.采用蚁群算法优化模糊规则进行仿真,结果显示该方法生成的模糊规则具有较好的相容性和控制性能. To avoid the fuzzy rules getting into"rule control rule optimization algorithm based on compa defines the compatibility coefficient of fuzzy rules, an to be the heuristic information in ant colony algorith fuzzy rule. Simulation results show that the fuzzy performance exploding" in fuzzy control system,a fuzzy tibility coefficient is proposed. The method d the compatibility coefficient matrix is used m. Ant colony algorithm is used to optimize rules have good compatibility and control
出处 《军械工程学院学报》 2012年第5期49-53,共5页 Journal of Ordnance Engineering College
关键词 模糊规则 相容性 蚁群算法 fuzzy rules compatibility ant colony algorithm
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