Robust Adaptive Control for a Class of Complex Systems Using High-Order Neural Networks

摘要：

A novel robust adaptive controller is presented for a class of complex systems with similarities using high-order neural networks. This approach adequately uses the structural characteristic of similar complex systems to resolve the difficult questions of the interconnections by updating the weights of high-order neural networks on line. It depends on little known knowledge and assures the stability of closed-loop systems. It is proved that making good use of the structure characteristic of the complex systems with similarities can reduce the calculation, and it is easy to be realized in engineering.

作者: Yingwei Zhang Siying Zhang

作者单位: Institute of Automation,Northeastern University Shenyang, Province P. R. China, 110004

会议类型: 国际会议

会议名称: 第三届国际脉冲动力系统及应用学术会议

会议地点: 青岛

会议语种:英文

在线出版日期: 2006-07-21（万方平台首次上网日期，不代表论文的发表时间）