中文摘要：

提出了一种Rssler超混沌系统多变量广义预测控制快速算法.采用改进的时变遗忘因子递推最小二乘方法辨识混沌系统,通过在常规多变量广义预测控制性能指标函数中引入前馈增益矩阵与柔化矩阵,实现系统对参考信号的快速跟踪.该算法降低了求逆矩阵的维数,从而减少了计算量.仿真结果验证了该方法的有效性和实用性.

英文摘要：

A kind of fast multivariable generalized predictive control algorithm for Rssler hyperchaotic system is proposed.The chaotic system with improved recursive least squares parameter of time-varying forget factor is identified,then the output signals of the system follow fast the reference ones for the application of the feedforward gain matrix and softing coefficient matrix in regular performance index function of multivariable generalized predictive control.Moreover,the reduction of inverse matrix dimensions leads to smaller amount of computation of the algorithm.The simulation results show the effectiveness and practicability of this algorithm.