摘要
提出了一种改进的自适应多变量广义预测控制算法(β-MGPC),可实现输入输出维数不等时的超混沌控制。控制部分变量可将超混沌系统引导到指定的平衡点,仿真结果表明了该算法的有效性。这种方法无需求解丢番图方程,减少了控制算法的计算量。
A β type adaptive multi-variable generalized predictive control method was proposed. Using this method, the hyperchaotic system can be controlled even if the dimensions of input and output are unequal. The hyperchaotic system can be steered to the appointed unstable fixed point through controlling part variables. The effectiveness of the method was demonstrated through numerical simulations. The method does not need solve the Diophantine equation, but reduces the computation of the algorithm.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2006年第9期2521-2524,共4页
Journal of System Simulation
基金
国家自然科学基金(60374037
60574036)
教育部博士点基金(20050055013)
教育部新世纪优秀人才支持计划(2005-290)
关键词
超混沌控制
预测控制
自适应控制
时变遗忘因子
最小二乘法
hyperchaotic control
predictive control
adaptive control
time-varifying forgettable factor
least square method