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针对离散时间不确定混沌系统的同步控制问题,提出一种基于参数依赖动态输出反馈鲁棒模型预测控制算法.首先,采用主动控制策略,将具有噪声扰动的主从混沌系统同步问题转化为鲁棒稳定性问题;然后,采用参数依赖动态输出控制器和二次有界概念,在保证闭环系统鲁棒稳定性的同时,降低算法的保守性;最后,通过附加约束条件,能够显式处理混沌系统同步中的输入约束.仿真结果表明了所提出算法的有效性.
Aiming at the problem of synchronization control of discrete-time uncertain chaotic systems, a robust control algorithm based on parameter-dependent dynamic output feedback is proposed.Firstly, an active control strategy is adopted to convert the synchronization problem of the chaotic systems with noise perturbations into robust Then, by using the parameter-dependent dynamic output controller and the bounded concept, the robust stability of the closed-loop system is guaranteed while the conservativeness of the algorithm is reduced. Finally, the chaos system can be dealt with explicitly by the additional constraints Input constraints in synchronization.The simulation results show the effectiveness of the proposed algorithm.