We present a sampling strategy suitable for optimization problems characterized by high-dimensional design spaces and noisy outputs. Such outputs can arise, for example, in time-averaged objectives that depend on chaotic states. The proposed sampling method is based on a generalization of Arnoldi’s method used in Krylov iterative methods. We show that Arnoldi-based sampling can effectively esti...

Area control error (ACE) is a critical factor in linked power systems. When disturbance occurs, ACE utilized to determine how much should be deployed. As result, it that the have as little inaccuracy feasible. This research provided strategy for improving dynamic response of system. A hybrid optimal controller name given this technology. Coordination between proportional-integral (PI) and state...

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...

The continuous time Linear Quadratic Regulator (LQR) theory has been implemented in the present work for the design of optimal Proportional Integral(PI) controller for the frequency response enhancement of multi area interconnected power system . The PI controller gains as proportional gain (Kp) and integral gain (Ki) are formulated as the optimal state-feedback gains, corresponding to the stan...

We describe a 2-D finite difference algorithm for inverting the Poisson equation on an irregularly shaped domain, with mixed boundary conditions, with the domain embedded in a rectangular Cartesian grid. We give both linear and quadratic boundary treatments and derive 1D error expressions for both cases. The linear approach uses a 5-point formulation and is first-order accurate while the quadra...

In this paper the active vibration control of a four-story shear frame instrumented with piezoelectric actuators is presented. The piezoelectric actuators are hosted on the columns in two manners and the produced controlling forces by actuators are considered in the equation of motion. The smart structure modeling and control design is carried out using MATLAB software in state space form. Subs...

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...

This paper presents the optimal regulator for a linear system with multiple state delays and a quadratic criterion. The optimal regulator equations are obtained using the maximum principle. Performance of the obtained optimal regulator is verified in the illustrative example against the best linear regulator available for linear systems without delays. Simulation graphs demonstrating better per...

We consider here the row-by-row decoupling of linear timeinvariant systems by proportional and derivative state feedback. Our contribution, with respect to previous results, is that our procedure is based on simple operator (say matrices) manipulations, without any need to use a canonical form. The only assumptions for applying such a decoupling strategy are that the system is right invertible ...