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A diagonal recurrent neural network-based hybrid direct adaptive SPSA control system

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2 Author(s)
Xiao D.Ji ; Dept. of Electr. Eng., Memphis Univ., TN, USA ; Familoni, Babajide O.

A direct adaptive simultaneous perturbation stochastic approximation (DA SPSA) control system with a diagonal recurrent neural network (DRNN) controller is proposed. The DA SPSA control system with DRNN has simpler architecture and parameter vector size that is smaller than a feedforward neural network (FNN) controller. The simulation results show that it has a faster convergence rate than FNN controller. It results in a steady-state error and is sensitive to SPSA coefficients and termination condition. For trajectory control purpose, a hybrid control system scheme with a conventional PID controller is proposed

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Automatic Control, IEEE Transactions on  (Volume:44 ,  Issue: 7 )