Event-Triggered Nonlinear Model Predictive Control with Bounded Disturbances and State-dependent Uncertainties * *This work was supported by Foundation for Innovative Research Groups of the National Natural Science Foundation of China(61321002), Projects of Major International (Regional) Joint Research Program NSFC61120106010), Program for New Century Excellent Talents in University (NCET-13-0045), Beijing Higher Education Young Elite Teacher Project.

Mengzhi Wang,Jian Sun

doi:10.1016/j.ifacol.2017.08.1178

Event-Triggered Nonlinear Model Predictive Control with Bounded Disturbances and State-dependent Uncertainties * *This work was supported by Foundation for Innovative Research Groups of the National Natural Science Foundation of China(61321002), Projects of Major International (Regional) Joint Research Program NSFC61120106010), Program for New Century Excellent Talents in University (NCET-13-0045), Beijing Higher Education Young Elite Teacher Project.

Mengzhi Wang, Jian Sun

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https://doi.org/10.1016/j.ifacol.2017.08.1178

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Journal: IFAC-PapersOnLine	Publication Date: Jul 1, 2017
Citations: 2

Affiliation: Beijing Institute of Technology

#State-dependent Uncertainties #Natural Science Foundation Of China + Show 8 more

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Abstract

Abstract In this paper, two event-triggered nonlinear model predictive control(NMPC) strategies based on Lyapunov function method for discrete-time nonlinear systems with bounded disturbances and state-dependent uncertainties are proposed. The corresponding event-triggered control law is designed and the feasibility is analyzed. Stability of the event-triggered NMPC systems is studied and sufficient stability conditions are obtained. Finally, simulation results show advantages of the two event-triggered strategies on performance and computational burden.

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