The tuning of Linear Quadratic regulator (LQR) controllers is a challenge for researchers and plant operators. This paper presents a optimization and comparison of time response specification between Traditional ZN Tuning & Modified ZN Tuning controllers with Linear Quadratic Regulator (LQR) for a speed control of a separately excited DC motor. The goal is to determine which control strategy de...

In this paper a unified approach via block-pulse functions (BPFs) or shifted Legendre polynomials (SLPs) is presented to solve the linear-quadratic-Gaussian (LQG) control problem. Also a recursive algorithm is proposed to solve the above problem via BPFs. By using the elegant operational properties of orthogonal functions (BPFs or SLPs) these computationally attractive algorithms are developed....

A control problem for a linear stochastic system with an arbitrary fractional Brownian motion and a cost functional that is quadratic in the system state and the control is solved. An optimal control is given explicitly as the sum of a prediction of the future fractional Brownian motion and the well known linear feedback control for the associated deterministic linear-quadratic control problem....

This paper introduces a linear quadratic control scheme for continuous-time system with observations taken at discrete times. Particular attention is given to the derivation of disturbance terms in model. Control performance may depend critical on accurate forecasts. case building climate control, where solar rays pass through e.g. windows and deliver significant amounts energy dynamics can be ...

Abstract This paper studies a continuous‐time stochastic linear‐quadratic (SLQ) optimal control problem on infinite‐horizon. Combining the Kronecker product theory with an existing policy iteration algorithm, data‐driven algorithm is proposed to solve problem. In contrast most methods that need all information of system coefficients, eliminates requirement three matrices by utilizing data syste...

Self-triggered control is a recently proposed paradigm that abandons the more traditional periodic timetriggered execution of control tasks with the objective of reducing the utilization of communication resources, while still guaranteeing desirable closed-loop behavior. In this paper, we introduce a selftriggered strategy based on performance levels described by a quadratic discounted cost. Th...