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- W2187049105 abstract "Model Predictive Control (MPC) schemes are now widely used in process industries for the control of key unit operations. In this paper, a state estimation based model predictive controller for nonlinear process has been proposed. The model predictive controller is designed by considering a state space model and an extended Kalman filter to predict the future behaviour of the system. The efficacy of the proposed MPC scheme has been demonstrated by conducting experimentalstudies on a continuous stirred tank reactor, a SISO system.The analysis of the extensive dynamic closed loop studies revealed that, the MPC scheme formulated" @default.
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- W2187049105 date "2015-01-01" @default.
- W2187049105 modified "2023-09-27" @default.
- W2187049105 title "Implementation of Robust Virtual Feedback Model Predictive Controller for Chemical Reactor" @default.
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