Self‐triggered robust model predictive control for nonlinear systems with bounded disturbances
Author:
Affiliation:
1. School of Automation, Southeast UniversityNanjing210096People's Republic of China
2. Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of EducationNanjingPeople's Republic of China
Funder
National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cta.2018.5459
Reference36 articles.
1. Distributed Receding Horizon Control of Dynamically Coupled Nonlinear Systems
2. Coordinated tracking of linear multiagent systems with input saturation and stochastic disturbances
3. Model predictive control: Recent developments and future promise
4. Robust self-triggered min–max model predictive control for discrete-time nonlinear systems
5. Robust MPC for tracking constrained unicycle robots with additive disturbances
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