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。
Applying the given method in this study, LQG control effect of a ship lateral motion can be calculated in probabilistic meaning.
利用文中的方法和结果，可以计算船舶横向LQG控制在一定概率意义下的减摇效果。
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。
The adaptive LQG control strategy is adopted to overcome the uncertainties of the dynamic behavior of the practical suspension system.
为了克服实际的悬架控制系统动态行为的不确定性，采用了自适应l QG控制策略。
To reduce the influence of disturbance, raise the positioning accuracy, a LQG optimum self tuning controller with integral is designed.
为了减少干扰的影响，提高定位精度，设计带积分的LQG最优自校正控制器。
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。
The model reduction is first carried out by balanced reduction method, then LQG control strategy is used in modal space for control design.
该方法首先利用平衡降阶法对结构进行降阶，然后在模态空间中采用LQG控制策略对结构进行控制；
Then the pose of longitudinal motion is estimated by linear Kalman filter. Finally, an optimal control rule is constructed by LQG performance index.
其次，利用线性卡尔曼滤波器对其纵向运动姿态进行估计，依据LQG性能指标构造了最优控制规律。
On time-domain and frequency-domain aspects, steady and transient performances of the control system were considered to designing the LQG controller.
通过从时域和频域的角度分析，考察控制系统的稳定性、过渡响应特性，从而设计出了LQG控制器。
Moreover, the optimal state-feedback control modules and Kalman filter are added in the model, then the whole LQG control system is constructed directly.
在此基础上，应用了最优状态反馈控制和卡尔曼滤波器模块，构成了完整的LQG控制系统。
Example shows that the application of the proposed method result in good economic benefit, the algorithm of LQG control is stable and computation speed is high.
实例计算表明，本文建立的模型能取得良好的效益，LQG算法稳定、计算速度快。
A decentralized LQG control scheme is proposed by using inclusion principle. The simulation results are given by this method for this distance bias control design.
利用包含原理，提出一种分散L QG控制的设计方法，并给出利用该方法对距离偏差控制进行设计的仿真结果。
Based on the game theory and LQG optimal control theory, the mini-max robust filtering is presented, which can minimize the filtering errors under the disturbance of uncertain noises.
根据博弈理论与最优控制理论，提出一种能够在具有不确定噪声干扰中最小化滤波误差的极小极大值鲁棒滤波器。
The package has the functions of modelling, system analysis, pole-placement control, optimal control, suboptimal control, LQG, selecting quadratic weighing matrices and system simulation etc.
该软件包具有模型变换、系统分析、极点配置控制、最优控制、次优控制、LQG、二次型权矩阵早优和系统仿真等功能。
With the collaborative platform based on ADAMS and MATLAB, the design methodology of LQG controllers is proposed for the single-rail orthogonal model to be levitated and guided automatically.
利用ADAMS与MATLAB协同平台，提出基于单轨正交模型的主动悬浮与导向l QG控制器设计方法。
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