Using the dual Youla parametrizations of controllerbased coprime factor plant perturbations and plant-based coprime factor controller perturbations, we study the LQG plant-controller continuity question. Indeed, we show that it is possible to calculate a new optimal LQG controller from a previous one when the plant is slightly changed, and to quantify the change in the controller as a function ...

In this paper LQG controller for TRMS without and with sensor, actuator failure is designed. Implementation of LQG controller for TRMS is done under no failure of sensor, actuator. TRMS output with LQG controller and reliable H infinity controller are compared without and with sensor, actuator failure. The objective of the proposed technique is to prove the H infinity controller is reliable ove...

A general approach to control non-linear uncertain systems is to apply a pre-computed nominal optimal control, and use a pre-computed LQG compensator to generate control corrections from the on-line measured data. If the non-linear model, on which the optimal control and LQG compensator design is based, is of sufficient quality, and when the LQG compensator is designed appropriately, the closed...

Designing a robust aircraft control system used to achieve good tracking performance and stable dynamic behavior against working disturbances problem has attracted attention of engineers. In this paper, pitch angle for is designed utilizing liner quadratic Gaussian (LQG) optimal controller technique with numerical tuning algorithm method in the longitudinal plane through cruising stage. Main de...

Purpose The purpose of this study is to test the performance designed automatic control system based on Linear Quadratic Regulator (LQR) and Gaussian (LQG) algorithms during landing helicopter ship deck. This paper a further development series Topczewski et al. (2020). Design/methodology/approach consists two LQR LQG. It integrated with motion prediction autoregressive algorithm parameters calc...

The LQG controllers significantly improve antenna tracking precision, but their tuning is a trial-and-error process. A control engineer has two tools to tune an LQG controller: the choice of coordinate system of the controller, and the selection of weights of the LQG performance index. The paper selects the coordinates of the open-loop model that simplify the shaping of the closed-loop performa...

This paper proposes a new method for obtaining a linear quadratic Gaussian (LQG) benchmark in terms of the variances of process input and output from closed-loop data, for assessing the controller performance. LQG benchmark has been proposed in the literature to assess controller performance since the LQG tradeoff curve represents the limit of performance in terms of input and output variances....

The controller development and the tracking performance evaluation for the DSS-13 antenna are presented. A trajectory preprocessor, linear quadratic Gaussian (LQG) controller, feedforward controller, and their combination were designed, built, analyzed, and tested. The antenna exhibits nonlinear behavior when the input to the antenna and/or the derivative of this input exceeds the imposed limit...

We define a modification of loop quantum gravity (LQG) in which graphs are required to consist of piecewise linear edges, which we call piecewise linear LQG (plLQG). At the diffeomorphism-invariant level, we prove that plLQG is equivalent to standard LQG, as long as one chooses the class of diffeomorphisms appropriately. That is, we exhibit a unitary map between the diffeomorphism-invariant Hil...

In this article, we consider the problem of controlling an unknown linear quadratic Gaussian (LQG) system consisting multiple subsystems connected over a network. Our goal is to minimize and quantify regret (i.e., loss in performance) our learning control strategy with respect oracle who knows model. Upfront viewing interconnected globally directly using existing LQG algorithms for global resul...