摘要
提出由模糊预测器和模糊预测控制器组成的一种自适应模糊预测控制系统的设计方法,该方法以模糊规则适用度为评判标准考虑规则的合理添加,采用BP算法在线调整规则的参数,并删减相互矛盾的规则.仿真实验表明,优化后的控制系统在停止训练的情况下。
A m ethod ofdesigning an adaptive fuzzy predictive controlsystem is pro- posed. The controlsystem includes a fuzzy predictor and a fuzzy predictive controller, w hich are trained by BPalgorithm ,added new fuzzy rules according to the firing levelofeach ofthe rules(in the rulebase), and reduced thecontrary rulesto m eetthecom pletenessoffuzzy rules. The controlsystem hasstillthegood perform ance fornonlinearplantw ith dead tim e even after the training is stopped.
出处
《厦门大学学报（自然科学版）》
CAS
CSCD
北大核心
1999年第6期816-820,共5页
Journal of Xiamen University：Natural Science
基金
福建省自然科学基金!(F97002)
智能技术与系统国家重点实验室资助
