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提出了一种带有预测函数的Hénon 混沌系统的广义预测控制快速算法.首先用时变遗忘因子的递推最小二乘方法辨识混沌系统,然后在广义预测控制的基础上引入了预测函数控制方法,并充分利用了预测信息的补偿作用.这种算法克服了广义预测控制中求解逆矩阵的缺点,提高了系统响应的速度,并且具有较强的跟踪给定信号、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.
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关键词:
- 广义预测控制 /
- 预测函数 /
- Hénon 混沌系统 /
- 参数辨识
A kind of generalized predictive control fast algorithm with predictive function for Hénon chaotic system is proposed. Firstly, we identify the chaotic system by recursive least square parameter of time varying forget factor. Then one kind of predictive function is added into this algorithm and makes full use of compensation of predictive information, overcoming the disadvantage of calculating inverse matrix to increase the response speed of the system. The ability of tracking the reference signal and restraining the parameter perturbation and stochastic disturbance are improved. Simulated results show the effectiveness of the algorithm.-
Keywords:
- generalized predictive control /
- predictive function /
- Hénon chaotic system /
- parameter identification
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