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2014.
Dual Heuristic Neural Programming Controller for Synchronous Generator
This chapter describes the development of voltage control system of a synchronous generator based on neural networks. Recurrent (dynamic) neural networks are used, as a type that has great capabilities in approximation of dynamic systems. Two algorithms are used for training – Dual Heuristic Programming (DHP) and Globalized Dual Heuristic Programming (GDHP). The algorithms have been developed for the optimal control of nonlinear systems using dynamic programming principles.