HIGHLIGHTS
- who: . and colleagues from the School of Mechanical and Electrical Engineering, Xi'an University of Architecture and Technology, Xi'an, China have published the research work: A gradient-based event-driven MPC for nonlinear systems with additive disturbances using state-dependent thresholds, in the Journal: (JOURNAL)
- what: The authors propose a gradient-based event-driven model predictive control (GEMPC) algorithm with a state-dependent threshold for nonlinear systems with additive disturbances and input and state constraints. Considering nonlinear systems with additive disturbances, a GEMPC algorithm is proposed, which determines the controller update in the light . . .
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