Elrashid A. N. Idris

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In model predictive control techniques, the reference values are usually adjusted by an infrequent optimization of a rigorous nonlinear stationary plant model. Between these optimizations however the process may undergo sub-optimality of operation due to the presence of the disturbances. Lately, nonlinear model predictive control based on online dynamic(More)
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