摘要
综述了近年来将人工神经网络控制和滑模变结构控制相结合的研究工作.从神经网络在滑模变结构控制中不同的应用方式出发,论述了神经网络在提高和改善滑模变结构系统性能方面的理论和方法,分析了它们各自的特点与相互之间的联系.最后展望了该领域未来的研究方向.
A survey on the current research combining the neural network control with sliding mode variable structure control is introduced, which emphasizes on the method that neural network improves the performance of sliding mode variable structure system from the point of view of neural network application modes in sliding mode variable structure control. Their features are considered respectively and the relationships among them are analyzed. Further more, research tendencies in this field are discussed.
出处
《信息与控制》
CSCD
北大核心
2005年第4期451-456,475,共7页
Information and Control
基金
山西省自然科学基金资助项目(20041049)
关键词
滑模变结构控制
神经网络
模糊神经网络
sliding mode variable structure control
neural network
fuzzy neural network