Robust event-triggered networked MPC with active set updates

Berner, Patrik Simon; König, Kai; Kvasnica, Michal; Mönnigmann, Martin

doi:10.1109/pc.2019.8815186

Cited by 4 publications

(1 citation statement)

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“…In [16], the authors investigated the periodic event-driven control issue of distributed networked systems with nonlinear dynamics with asynchronous communication. In [17], a networked event-driven MPC strategy exploiting the MPC solution structure was proposed, in which the robust optimal feedback law and its effective region were calculated based on a central node according to the actual needs. In [18], a leader-following control method for the high-speed trains system was proposed, in which an innovative event-driven MPC approach was employed to determine information exchange and control updates between adjacent trains.…”

Section: Introductionmentioning

confidence: 99%

Event-Driven Model Predictive Controller for State Constrained Systems: An Input Signal Reconstruction Method

et al. 2021

IEEE Access

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A novel event-driven model predictive control (MPC) technique is constructed for perturbed nonlinear system including both input and state constraints. The primary merit of the developed method is the event-driven input signal is constructed based on sparse control samples, and only the selected samples, rather than a continuous control signal, need to be transmitted through the network. Given such a framework, a tightened constraint is designed to satisfy the robust requirement, and an event-driven scheme is designed to lessen the computational as well as communication load of the considered MPC system. Then, theoretical requirements for guaranteeing the MPC feasibility and system convergence are figured out. Finally, proposed input signal reconstruction based MPC method is tested via simulation experiments as well as comparative study.INDEX TERMS Event-driven control, model predictive control (MPC), constrained systems, input signal reconstruction.

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Section: Introductionmentioning

confidence: 99%