Stochastic self-triggered model predictive control for linear systems with probabilistic constraints

• Main Authors: Dai, Li, Gao, Yulong, Xie, Lihua, Johansson, Kari Henrik, Xia, Yuanqing
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Electrical and electronic engineering; Stochastic Systems; Probabilistic Constraints
• Online Access: https://hdl.handle.net/10356/137852
• Institution: Nanyang Technological University

A stochastic self-triggered model predictive control (SSMPC) algorithm is proposed for linear systems subject to exogenous disturbances and probabilistic constraints. The main idea behind the self-triggered framework is that at each sampling instant, an optimization problem is solved to determine bo...