s--By making the controller adaptive, ideal performance and granted stability of the closed loop system can be achieved for even a large change in system parameters. In the present study, adaptive controllers based on minimum variance, pole placement and linear quadratic techniques are investigated. The controller based on minimum variance is noise sensitive and actuator voltage changes sign af...

The aim of this paper is to examine the effect of inclusion of a linear quadratic Gaussian controller instead of the conventional AVR with the existence of a PSS for improving the dynamic stability of power system. The present work introduces a computational methodology that adopted a Linear Quadratic Gaussian (LQG) controller to control the generator. In this method the models of both the sync...

A new approach for the solution of the regulator problem for linear discrete-time dynamical systems with non-Gaussian disturbances is proposed. This approach generalizes a previous result concerning the definition of the quadratic optimal regulator. It consists in the definition of the polynomial optimal algorithm of order for the solution of the linear quadratic non-Gaussian stochastic regulat...

In this paper, the main goal is to reduce the heave motion between a surface effect ship (SES) and a wind turbine in order to safely transfer equipment and person to SES. For this purpose, an LQR control system is designed to damp the vertical motion of the surface effect ship in critical sea states including high-frequency and high amplitude regular waves as well as high frequency irregular wa...

As the conventional control system is a controller that controls or regulates dynamics of any other process. From time to time, this may not behave appropriately online; because many factors like some variation in process itself unexpected changes environment, even undefined parameters model. To overcome problem above, an adaptive designed and implemented. This paper discusses design for ball b...

This paper proposes a discrete-time repetitive optimal control of electrically driven robotic manipulators using an uncertainty estimator. The proposed control method can be used for performing repetitive motion, which covers many industrial applications of robotic manipulators. This kind of control law is in the class of torque-based control in which the joint torques are generated by permanen...

Design of power system stabilizer using Linear Quadratic Regulator (LQR) technique. Designs that ignore noise in a plant are likely to fail when implemented in actual conditions. Presence of the noise, which results in LQR output oscillating with very small magnitude. This type of unwanted noisy output is eliminated using Linear Quadratic Gaussian (LQG) Regulator. This paper presents techniques...

An LQR-based Control design and gain tuning strategies proposals for a multi-agent system are presented in this article, the agents connected an undirected graph. Controller gains adjusted by selecting Q R weighting matrices of Linear Quadratic Regulator. Agreement (consensus) is one fundamental problems control, where set must agree on joint state value. In proposed design, first considering t...

The positive buoyancy diving autonomous vehicle combines the features of an Unmanned Surface Vessel (USV) and Autonomous Underwater Vehicle (AUV) for marine measurement monitoring. It can also be used to study reasonable efficient techniques underwater robots. In order optimization low power consumption high efficiency cruise motion vehicle, its dynamic modeling has been established. optimal cr...