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针对Hénon混沌系统,本文给出了一种基于T-S模糊模型的混沌系统广义预测控制算法。该方法将模糊辨识和广义预测控制结合起来应用到Hénon混沌系统中。首先,应用T-S模糊模型对Hénon混沌系统进行辨识,模糊聚类法辨识模型的前件参数,递推最小二乘法辨识结论参数。基于辨识模型,采用广义预测控制算法对其进行控制,实现了系统的跟踪与同步。仿真结果表明,与其它算法相比,该算法能够保证系统输出快速、有效地跟踪设定值。
For Hénon chaotic system, this paper presents a generalized predictive control algorithm of chaotic system based on T-S fuzzy model. This method combines fuzzy identification and generalized predictive control into Hénon chaotic system. Firstly, T-S fuzzy model is used to identify the Hénon chaotic system. The fuzzy clustering method is used to identify the antecedent parameters of the model, and the recursive least square method is used to identify the conclusion parameters. Based on the recognition model, the generalized predictive control algorithm is used to control the system and the system tracks and synchronizes. The simulation results show that compared with other algorithms, this algorithm can ensure the system output to track the set value quickly and effectively.