Event-Triggered Nonlinear Model Predictive Control with Bounded Disturbances and State-dependent Uncertainties

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

Mengzhi Wang, Jian Sun

School of Automation

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

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.

Original language	English
Pages (from-to)	9308-9314
Number of pages	7
Journal	IFAC-PapersOnLine
Volume	50
Issue number	1
DOIs	https://doi.org/10.1016/j.ifacol.2017.08.1178
Publication status	Published - Jul 2017

Keywords

event-triggered control,nonlinear model predictive control, Lyapunov function

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10.1016/j.ifacol.2017.08.1178

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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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Event-Triggered Nonlinear Model Predictive Control with Bounded Disturbances and State-dependent Uncertainties

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