The controllers are designed by linear quadratic Gaussian (LQG) method truncated by a balanced truncation method.
控制律采用线性二次型高斯(LQG)方法，结合平衡截断法降阶。
This thesis discusses the dual adaptive control in Linear Quadratic Gaussian (LQG) with uncertainty parameters problem.
本文主要研究了具有不确定参数的线性二次型高斯问题(LQG)的对偶自适应控制问题。
The linear quadratic Gaussian (LQG) control problem for non-stationary stochastic seismic response of adjacent buildings was studied.
研究了毗邻建筑在非平稳随机地震激励下的LQG控制问题。
We consider the networked control system (NCS) from linear quadratic Gaussian (LQG) method, switched system and neural network control.
对网络控制系统分别从高斯型二次最优（LQG），切换系统和神经网络控制三个方面来考虑。
A linear quadratic Gaussian (LQG) stochastic optimal control was developed for networked control systems with network-induced delays longer than a sampling period using a time-division control mode.
对于网络诱发延迟大于一个采样周期的网络化控制系统，该文研究了该系统的线性二次Gauss (LQG)随机最优控制问题，提出了一种新的分时控制模式。
A linear quadratic Gaussian (LQG) stochastic optimal control was developed for networked control systems with network-induced delays longer than a sampling period using a time-division control mode.
对于网络诱发延迟大于一个采样周期的网络化控制系统，该文研究了该系统的线性二次Gauss (LQG)随机最优控制问题，提出了一种新的分时控制模式。
应用推荐