摘要
提出一种保证闭环系统稳定性的双模控制:采用预测控制将状态驱动到终端约束域,再利用局部线性控制将状态驱动到原点.在分析一类基于最小二乘支持向量机(LS-SVM)的预测控制的基础上,在常规的性能指标后附加了一个终端约束,并利用李亚普诺夫方法推导了确保闭环系统稳定性的4个充分条件.在此基础上,推导了基于最小二乘支持向量机的双模控制算法.仿真结果显示了算法的优越性.
A double mode control is proposed to guarantee the stability of the closed-loop system which applies predictive control to driving the state to the terminal constraint region, and then uses local linear control to drive the state to the origin. By analyzing a class of predictive control based on least squares support vector machine （LS-SVM）, a terminal constraint is appended to the conventional performance index, and four sufficient conditions are deduced by Lyapunov method to guarantee the stability of the closed-loop system. According to these conditions, a double mode control algorithm based on LS-SVM is deduced. The simulation result shows the advantage of the proposed algorithm：
出处
《信息与控制》
CSCD
北大核心
2011年第6期721-727,共7页
Information and Control
基金
国家自然科学基金资助项目(60874070
61074069)
湖南省教育厅科研资助项目(11C0223)
关键词
预测控制
最小二乘支持向量机
稳定性
李亚普诺夫方法
双模控制
predictive control
least squares support vector machine
stability
Lyapunov method
double mode control
