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参数未知线性系统的直接自适应模糊广义预测控制
Direct adaptive fuzzy generalized predictive control for linear systems with unknown parameters
【摘要】 将自适应模糊逻辑系统引入广义预测控制,对参数未知线性系统提出一种直接自适应模糊广义预测控制方法。该方法直接利用模糊逻辑系统设计广义预测控制器,并基于广义误差估计值对控制器参数和广义误差估计值中的未知向量进行自适应调整。证明了该方法不仅能保证闭环系统输入输出有界,而且可使广义误差收敛到原点的一个小领域内。
【Abstract】 A direct adaptive fuzzy generalized predictive control method for linear systems with unknowm parameters is presented by introducing adaptive fuzzy logic system into the generalized predictive control strategy. The fuzzy logic system is used to design generalized predictive controller directly, and the controller parameters and the unknown vectors in the estimation of generalized error are adjusted adaptively. It is proved that the proposed method can not only guarantee inputoutput boundedness of the closedloop system, but also make the generalized error converges to a small neighborhood of the origin.
【Key words】 Unknown parameters linear system; Generalized predictive control; Adaptive fuzzy control; Stability analysis;
- 【文献出处】 控制与决策 ,Control and Decision , 编辑部邮箱 ,2003年05期
- 【分类号】TP273.5
- 【被引频次】14
- 【下载频次】355