Why the study?
To reduce online computations in resource-constrained systems by developing an event-triggering mechanism for explicit robust model predictive control so function evaluations are not needed at every time instant.
The proposed event-triggered robust model predictive control scheme ensures robust constraint satisfaction and stability while reducing online computations for constrained linear systems.
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Reduces online computations for explicit robust MPC under disturbances; extends theory but leaves open real-time validation.
This paper studies the event-triggered robust model predictive control (MPC) problem for constrained linear systems subject to bounded disturbances. For control computations, explicit MPC reduces online optimizations to simple function evaluations, thus is suitable for resource constrained systems. We propose an event-triggering mechanism (ETM) for an explicit robust model predictive controller such that function evaluations are not needed at every time instant and the ETM itself requires comparably less online computations. In the proposed ETM, we design a contracting polytopic trigger set with respect to system constraints and the explicit robust control law. The resulting event-triggered control scheme ensures robust constraint satisfaction and robust stability for the closed-loop system while avoiding the Zeno-like behavior. Simulation results illustrate the validity of the event-triggered robust control scheme.
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Hu et al. (2021) studied this question.
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