Multiple-model-and-neural-network-based nonlinear multivariable adaptive control
Yue FU
Tianyou CHAI
摘要：A multivariable adaptive controller feasible for implementation on distributed computer systems (DCS) is presented for a class of uncertain nonlinear multivariable discrete time systems. The adaptive controller is composed of a linear adaptive controller, a neural network nonlinear adaptive controller and a switching mechanism. The linear controller can provide boundedness of the input and output signals, and the nonlinear controller can improve the performance of the system. The purpose of using the switching mechanism is to obtain the improved system performance and stability simultaneously. Theory analysis and simulation results are presented to show the effectiveness of the proposed method.
机标关键词：discrete time systemssystem performancesimulation resultscomputer systemsoutput signalsneural network
分类号：TP3(计算技术、计算机技术)
资助基金：科技部科研院所技术开发研究专项基金(2002CB312201)国家自然科学基金(60534010)the Funds for Creative Research Groups of China(60521003)教育部长江学者和创新团队发展计划(IRT0421)
论文发表日期：2007-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：6( 121-126 )
英文信息