The problem of robust output feedback control for a class of uncertain switching fuzzy time-delay systems via common Lyapunov function and multiple Lyapunov function methods is solved. Based on employing Parallel Distributed Compensation strategy, the fuzzy output feedback controllers are designed such that the corresponding closed-loop system possesses stability and robustness for all admissible uncertainties. An illustrative example and the respective simulation results are given to demonstrate the effectiveness and feasible control performance of the proposed design synthesis.
Dimirovski, Georgi M. (Dogus Author) -- Conference full title: 2010 14th International Power Electronics and Motion Control Conference (EPE/PEMC 2010) : Ohrid, Macedonia, 6 - 8 September 2010A genetic algorithm based optimization technique for optimum design of power system damping controller in a multi-machine power system has been developed. In this technique, the genetic algorithm involves an objective function that is based on the integral of squared-time- squared-error criterion. Parameters of the power system stabilizers are tuned via simulation experiments based on a non-linear model of the system. The dynamic performance has been investigated under both small and large disturbance perturbation, and compared with the case of conventional optimization using phase compensation. Simulation experiments have demonstrated the proposed genetic-algorithm optimized power system stabilizers do enhance quality dynamic performance over a wide range of operating conditions by effectively damping both local and inter-area oscillation modes.ELEM, Repub. Macedonia Chamb. Certif. Archit. Certif. Eng
Dimirovski, Georgi M. (Dogus Author) -- Conference full title: 2012 6th IEEE International Conference Intelligent Systems, Sofia, Bulgaria, September 6-8.This paper overviews recent advances in the field of switched fuzzy systems, switched systems whose subsystems are fuzzy systems, followed by the comparative study for this kind of systems. Starting with the basic ideas of switched fuzzy systems, the comparative study is aimed in introducing the diverse approaches in their model construction, as well as the challenges related with the stability analysis and stabilization of such systems. The last includes the issue of stability analysis and finding conditions for existence of switched fuzzy controllers which will stabilize the nonlinear system.The Ss Cyril and Methodius Universit
Dimirovski, Georgi M. (Dogus Author) -- Conference full title: 2010 14th International Power Electronics and Motion Control Conference (EPE/PEMC 2010) : Ohrid, Macedonia, 6 - 8 September 2010The short term load forecasting plays a significant role in the management of power system supply for countries and regions, in particular in cases of insufficient electric energy for increased needs. A back-propagation artificial neural-network (BP-ANN) genetic algorithm (GA) based optimizing technique for improved accuracy of predictions short term loads is proposed. With GA's optimizing and BP-ANN's dynamic capacity, the weighted GA optimization is realized by selection, crossing and mutation operations. The performance of the proposed technique has been tested using load time-series from a real-world electrical power system. Its prediction has been compared to those of obtained by only backpropagation based neural-network techniques. Simulation results demonstrated that the here proposed technique possesses superior performance thus guarantees better forecasting.ELEM, Repub. Macedonia Chamb. Certif. Archit. Certif. Eng
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