河北工业科技2018，Vol.35Issue(1)：37-42,6.DOI:10.7535/hbgykj.2018yx01007
基于T-S模型的一类时滞非线性系统模型预测控制
Model predictive control for a class of nonlinear systems with time-delay based on T-S model
摘要
Abstract
Aiming at a class of nonlinear discrete systems with time-delay,model predictive control problem based on state feedback is addressed by using linear matrix inequality and Lyapunov stability theory.The target system is described by the T-S fuzzy model,and the"min-max"type of model predictive control algorithm is given.The model predictive control is combined with fuzzy model,and the principle of parallel distributed compensation is used.At each sampling time,the performance of the infinite time domain is optimized,and the design problem of the predictive controller in the case of the norm bounded is dis-cussed.The solvability of the problem is analyzed and the stability of the system is guaranteed,and the state feedback control-ler design algorithm based on linear matrix inequality is given.Finally,a simulation example is given to prove the effectiveness of the proposed method and the stability of the systems.This method can be well applied in the model predictive control process in fields of chemistry,metallurgy,and machinery.关键词
自动控制理论/非线性离散系统/T-S模糊模型/预测控制/时滞Key words
automatic control theory/nonlinear discrete systems/T-S fuzzy model/predictive control/time-delay分类
信息技术与安全科学引用本文复制引用
王永婧,张冬雯,于健骐..基于T-S模型的一类时滞非线性系统模型预测控制[J].河北工业科技,2018,35(1):37-42,6.基金项目
河北省自然科学基金(F2014208169) （F2014208169）
