Event-Based Robust Sampled-Data Model Predictive Control: A Non-Monotonic Lyapunov Function Approach

DOI10.1109/TCSI.2015.2468997zbMath1468.94354OpenAlexW1614196263MaRDI QIDQ5008046

Dawei Shi, Ning He

Publication date: 26 August 2021

Published in: IEEE Transactions on Circuits and Systems I: Regular Papers (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tcsi.2015.2468997

Mathematics Subject Classification ID

Sampling theory in information and communication theory (94A20)

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Robust approximation-based event-triggered MPC for constrained sampled-data systems ⋮ Robust self-triggered min-max model predictive control for discrete-time nonlinear systems ⋮ Sampled-data stabilization of a class of stochastic nonlinear Markov switching system with indistinguishable modes based on the approximate discrete-time models ⋮ Robust event-triggered model predictive control of polytopic LPV systems: an input-to-state stability approach ⋮ Robust optimal triple event-triggered intermittent control for uncertain input-constrained nonlinear systems ⋮ Distributed Event-Triggered Model Predictive Control of Coupled Nonlinear Systems ⋮ Event-based model predictive control for nonlinear systems with dynamic disturbance ⋮ Event-triggered robust model predictive control with stochastic event verification ⋮ Event-triggered dynamic output feedback RMPC for polytopic systems with redundant channels: input-to-state stability

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