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。
A direct adaptive fuzzy generalized predictive control method for linear systems with unknown 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 input-output boundedness of the closed-loop system, but also make the generalized error converges to a small neighborhood of the origin.
出处
《控制与决策》
EI
CSCD
北大核心
2003年第5期535-539,共5页
Control and Decision
基金
国家自然科学基金重点资助项目(60034010)。
关键词
参数未知线性系统
广义预测控制
自适应模糊控制
稳定性分析
Adaptive control systems
Computer simulation
Fuzzy control
Predictive control systems
Stability
Theorem proving
