minimum variance control based on nonlinear t-s fuzzy model 模糊模型的随机最小方差控制
design of identification experiment signal for minimum variance control 基于最小方差控制的闭环辨识信号设计
thus finally we can realize the minimum variance control . simulations show that preferable parameter estimation and satisfactory control performance can be achieved using the derived dual adaptive control 利用卡尔曼滤波对未知的系统参数进行估计,最终实现随机系统的对偶自适应控制。
abstract : aiming at the intrinsic defects of minimum-variance adaptive controllers, fuzzy controy algorithm is introduced into standard minimum-variance control . simulation results show that the two algorithm's combination makes the system acquire an excellent control effect 文摘:针对最小方差自适应控制器的固有缺点,在标准最小方差控制中引入糊模控制算法来弥补其不足.仿真结果表明,两种算法的巧妙结合使系统具有良好的控制效果
abstract : in the nonminimum phase system, it contains the unstable zero, so the controller can " t be designed according to the ideal state . the mode of modified evaluate function addressed in this paper can promise the bounds and stability of the minimum variance control in nonminimum phase 文摘:对于非最小相位系统,因其含有不稳定的零点,所以不可以按理想状态的情况构成控制器.提出修正目标函数的方法,可确保非最小相位时最小方差控制输入的有界性和稳定性