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中国物理学会期刊

Hénon混沌系统的自适应广义预测控制快速算法

CSTR: 32037.14.aps.58.3753

A fast algorithm for adaptive generalized predictive control of Hénon chaotic systems

CSTR: 32037.14.aps.58.3753
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  • 提出了一种带有约束矩阵的Hénon 混沌系统的广义预测控制快速算法,首先用带有遗忘因子的递推最小二乘参数辨识法来逼近混沌系统,然后该算法引入了一种约束矩阵,约束矩阵的引入避免了矩阵求逆的计算,占用内存小,计算速度快,并且具有较强的跟踪给定信号和抑制系统参数摄动和随机噪声的能力.仿真结果验证了该方法的有效性.

     

    A kind of generalized predictive control fast algorithm with constraint matrix for Hénon chaotic system is proposed. We firstly identify the chaotic system by recursive least squares parameter of forget factor, and then add one kind of constraint matrix to this algorithm. The introduction of the constraint matrix avoids the matrix inversion computation. The method needs smaller computer memory and the computational speed is higher. The abilities of tracking the reference signal and restraining the parameter perturbation and stochastic disturbance are improved. The simulated results show the effectiveness of this algorithm.

     

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