摘要
对于具有白噪声加性干扰的复杂系统的控制问题,建立了Takagi-Sugeno模糊控制模型,利用Kalman滤波对系统状态信息进行局部估计,用动态规划获得了控制增益,这样导出的控制器具有学习特点,使得闭环系统具有期望的性能指标.以倒立摆为仿真实例,仿真结果表明了所设计控制器的有效性.
The control problem for a class of complex systems with the disturbance of white noise and additivity is considered.The Takagi-Sugeno fuzy control model is established,the local state information is estimated by Kalman filter,and the control gain is obtained by dynamic programming.Then the controller is designed,which has the active learning feature and the desired performance.Using an inverted pendulum as a simulation example,the results show the effectiveness of the designed controller.
出处
《控制与决策》
EI
CSCD
北大核心
2013年第9期1335-1340,共6页
Control and Decision
基金
国家自然科学基金项目(61273127)
高等学校博士学科点专项科研基金项目(20116118110008)
