New Results on Robust Model Predictive Control for Time-Delay Systems with Input Constraints

Abstract EN

This paper investigates the problem of model predictive control for a class of nonlinear systems subject to state delays and input constraints.

The time-varying delay is considered with both upper and lower bounds.

A new model is proposed to approximate the delay.

And the uncertainty is polytopic type.

For the state-feedback MPC design objective, we formulate an optimization problem.

Under model transformation, a new model predictive controller is designed such that the robust asymptotical stability of the closed-loop system can be guaranteed.

Finally, the applicability of the presented results are demonstrated by a practical example.