This study proposes a combination of a fuzzy sliding mode controller (FSMC) with integral-proportion-Derivative switching surface based superconducting magnetic energy storage (SMES) and PID tuned by a multi-objective optimization algorithm to solve the load frequency control in power systems. The goal of design is to improve the dynamic response of power systems after load demand changes. In t...

in this paper, a consistent pattern with the optimal coordinated design of pss and sssc controller to improve the damping of low frequency oscillations is shown. in this design, sensing and signal transmission time delays are considered as effectiveness parameters. the design problem has been considered an optimization problem and biogeography-based optimization (bbo) algorithm is used for sear...

In this paper, a reduced order local optimal controller is designed for a higher order system. A reduced order model is obtained for the higher order system and its parameters are used for the reduced order local optimal controller. Also, genetic algorithm is used with the reduced order local optimal controller structure to design the controller parameters instead of obtaining them from the red...

We investigate control of a queueing system in which a component of the state space is subject to aging. The controller can choose to forward incoming queries to the system (where it needs time for processing), or respond with a previously generated response (incurring a penalty for not providing a fresh value). Hence, the controller faces a trade-off between data freshness and response times. ...

Based on the coefficient mapping of eigenpolynomial from plant to GPC closed-loop system in the IMC structure, the solvability of the optimal control law of GPC and some properties of GPC in relationship with tuning parameters are discussed. Theorems on GPC resulting in deadbeat control are given by properly ehtx~ng the design parameters. Furthermore, new result about reducing GPC closed-loop s...

Here we consider the problem of providing near optimal performance for a large set of possible models. We adopt the H∞ framework in the single-input single-output (SISO) setting with structured uncertainty: a compact set of controllable and observable plant models of a fixed order; we consider the control problem of designing a controller to minimize the worst case performance. We consider two ...

We propose an optimal control framework for persistent monitoring problems where the objective is to control the movement of mobile nodes to minimize an uncertainty metric in a given mission space. For multi agent in a one-dimensional mission space, we show that the optimal solution is obtained in terms of a sequence of switching locations and waiting time on these switching points, thus reduci...

In this paper an optimal controller is proposed for a self-balancing electrical vehicle called Segway PT. This vehicle has one platform and two wheels on the sides and the rider stands on the platform. A handlebar, as a navigator, is attached to the body of Segway, with which the rider controls the vehicle. Since Segway uses electrical energy produced by batteries, resource consumption manageme...