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Abstract
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This paper concentrates on synthesizing robust predictive controllers in uncertain models with time-delay and saturated input. To handle the complexities simultaneously and reach the desired objective, a state-feedback structure with unknown gains is considered the compensator. Then, to specify the instantaneous values of the regulator's gains, an optimization issue will be derived relying on linear matrix inequality. Accordingly, in uncertain continuous-time systems with some constraints and time-delays, the controller's coefficients would be found in an online way from such an optimization. Numerous continuous-time simulations are numerically performed to reveal the merit and robustness of the suggested methodology over similar techniques.
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