M. R. K. Murthy

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this paper the GPC and NGPC model predictive control techniques are applied to a typical plant and compared in terms of computational efficiency. The system identification and predictive control computational performance are examined. The future control inputs using GPC can be found by the direct analysis and thus reducing the computational time when(More)
—This paper deals with the effect of small prediction horizon in Neural Generalized Predictive control. A different strategy is proposed to overcome the problem of estimation at each sampling instant. In this method the parameter are estimated at a large sampling interval and control increments are calculated at a smaller sampling interval. Simulation(More)
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