Indirect Adaptive Control for Synchronous Generator: Comparison of MLPIRBF Neural Networks Approach With Lyapunov Stability Analysis.

This paper compares two indirect adaptive neu- rocontrollers, namely a multilayer perceptron neurocontroller (MLPNC) and a radial basis function neurocontroller (RBFNC) to control a synchronous generator. The different damping and transient performances of two neurocontrollers are compared with those of conventional linear controllers, and analyzed based on the Lyapunov direct method. [ABSTRACT FROM AUTHOR]