摘要
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。
A kind of generalized predictive control algorithm based-on T-S fuzzy model for Henon chaotic system is proposed. This method combines fuzzy identification with generalized predictive control, which is applied to Henon chaotic systems. In the first, we obtain the model of the system by using the T-S fuzzy model to identify the Henon chaotic systems. Antecedent parameters are determined based on the method of fuzzy clustering, and the recursive least squares （RLS） method is used to identify consequent parameters. Then the generalized predictive control is applied to the identification model to control the Henon chaotic system. This method realized tracking and synchronization of Henon chaotic system. Simulation results show that the algorithm proposed in this paper can ensure that the output of the system can follow with the given output quickly and effectively.
出处
《模糊系统与数学》
CSCD
北大核心
2014年第1期138-151,共14页
Fuzzy Systems and Mathematics
基金
河北省自然科学基金资助项目(F2010001320)
