lqg can be used for both continuous- and discrete-time plants. In discrete time, lqg uses x[n|n-1] as its state estimate by default. To use x[n|n] as the state ... Description · Examples · Tips

LQG control is a modern state-space technique for designing optimal dynamic regulators and servo controllers with integral action (also known as setpoint ...

The goal is to regulate the plant output y around zero. The input disturbance d is low frequency with power spectral density (PSD) concentrated below 10 ...

This MATLAB function returns the LQG regulator rlqg (a state-space model) given the Kalman estimator kest and the state-feedback gain matrix k. Description · Algorithms

Implemented LQG(LQR control + Kalman filter) controller and optimized the system to asymptotically track a reference using MATLAB.

Продолжительность: 13:26
Опубликовано: 6 февр. 2017 г.

Description. lqgtrack forms a Linear-Quadratic-Gaussian (LQG) servo controller with integral action for the loop shown in the following figure.

Use TuningGoal.LQG to specify a tuning goal that quantifies control performance as an LQG cost. It is applicable to any control structure. Creation · Input Arguments · Properties · Openings

This example shows you how to design a servo controller for the following system. The plant has three states (x), two control inputs (u), two random inputs (w) ...

Описание. reg = lqg(sys,QXU,QWV) вычисляет оптимальный регулятор "линейного квадратичного гауссова" (LQG) reg учитывая модель в пространстве состояний sys ...