An Adaptive Sliding Mode Tracking Controller Using BP Neural Networks for a Class of Large-scale Non

• 作 者: 刘子龙 田方 张伟军
• 机 构: ResearchInst.ofRoboticsShanghaiJiaotongUniv.,Dept.ofAppliedMathematicsShanghaiUniv.ofFinanceandEcono
• 出 处: 上海交通大学学报：英文版
• 发表日期: 2007年6期
• 关键词: BP NEURAL networks SLIDING mode control LARGE-SCALE nonlinear systems UNCERTAINT
• 基金项目: The National Natural Science Foundations of China(50505029)

A new type controller, BP neural-networks-based sliding mode controller is developed for a class of large-scale nonlinear systems with unknown bounds of high-order interconnections in this paper. It is shown that decentralized BP neural networks are used