An investigation into neural net control systems with integral action

The authors investigate the incorporation of integral action for a neural net control system applicable to a class of nonlinear dynamical systems. The properties and performances of INC/NN (inverse nonlinear control/neural network) controllers are discussed and studied. Simulation results on applying the proposed INC/NN controller to a position control system with inherent nonlinearities are presented. The results have shown that the neural network control system can achieve load disturbance rejection with the incorporation of integral action.<
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