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混沌系统的改进多变量广义预测控制研究
The Study of Modified Multi-variable Generalized Predictive Control of Chaotic Systems
【Author】 Dong Enzeng Chen Zengqiang Yuan Zhuzhi (Department of Automation, Nankai University, Tianjin 300071, China)
【机构】 南开大学信息技术科学学院自动化系;
【摘要】 提出了一种改进的自适应多变量广义预测控制算法(β-MGPC),可实现输入输出维数不等时的混沌控制,用一个控制信号可将多变量混沌系统引导到指定的平衡点,仿真结果表明了该算法的有效性。这种方法的优点在于无需求解丢番图方程,减少了控制算法的计算量。
【Abstract】 It is presented for a modified β type multi-variable generalized predictive control method. By this method, the multi-variable chaotic system can be controlled to appointed unstable fixed points by one control signal. The effectiveness of the proposed method is verified by numerical simulations. The advantages of the method are that it does not need solving the equation of Diophantine, and reduces the complexity of the algorithm.
【Key words】 Chaotic control Predictive control Adaptive control Time-varifying forgettable factor Least square;
- 【会议录名称】 第七届青年学术会议论文集
- 【会议名称】第七届青年学术会议
- 【会议时间】2005-08
- 【会议地点】中国秦皇岛
- 【分类号】TP13
- 【主办单位】中国仪器仪表学会