A NEW VERSION OF ELMAN NEURAL NETWORKS FOR DYNAMIC SYSTEMS MODELING AND CONTROL

PID CONTROLLER TUNING SCHEME FOR TWIN ROTOR MULTI-INPUT MULTI-OUTPUT SYSTEM BASED PARTICLE SWARM OPTIMIZATION APPROACH

SYNERGY OF SIMULATED ANNEALING AND PARTICLE SWARM ALGORITHMS FOR OPTIMIZING STATCOM DAMPING CONTROLLER

AN ON-LINE OPTIMAL ARTIFICIAL NEURAL NETWORK-BASED CONTROLLER FOR SIMPLIFIED ORDER POWER SYSTEMS

MODIFIED PARTICLE SWARM OPTIMIZATION FOR ECONOMIC LOAD DISPATCH WITH TRANSMISSION LOSSES

NEURAL NETWORK PREDICTIVE CONTROL BASED POWER SYSTEM STABILIZER

OUTPUT FEEDBACK SLIDING MODE CONTROL FOR UNCERTAIN DYNAMICAL SYSTEMS

TUNING PID CONTROLLERS USING HYBRID GENETIC AND NELDER-MEAD ALGORITHM

NONLINEAR AUTOREGRESSIVE MOVING AVERAGE CONTROLLER FOR ISOLATED WIND GENERATION SYSTEM CONTROL

Particle Swarm Optimization for Solving the Problem of Transmission Systems and Generation Expansion.