Neural Network Based Adaptive Control for MIMO Non-affine Systems

摘要：

This paper presents a novel neural network (NN) based adaptive control method for a general class of MIMO non-affine nonlinear systems, which are implicit function with respect to control input. The control algorithm is concluded by implicit function theorem and the design idea of pseudo-control. The stability of the system is proved through Lyapunov method. A Three-Layer Neural Network is used to compensate the modeling errors and a robust control is also designed to add the anti-interference ability of the system. Simulation results demonstrate the effectiveness and feasibility of proposed scheme.

关键词： MIMO non-affine nonlinear systems Adaptive control Neural network

作者: Zhao Tong Cao Shiwei

作者单位: Department of Automatic Control,Qingdao University of Science and Technology,Qingdao 266042 China

会议类型: 国际会议

会议名称: The Third International Symposium on Test Automation & Instrumentation(第三届国际自动化测试与仪器仪表学术会议 2010 ISTAI)

会议地点: 厦门

会议语种:英文

页码: 596-600

在线出版日期: 2010-05-22（万方平台首次上网日期，不代表论文的发表时间）