Self-Triggered Model Predictive Control for Nonlinear Input-Affine Dynamical Systems via Adaptive Control Samples Selection

In this paper, we propose a self-triggered formulation of model predictive control for continuous-time nonlinear input-affine networked control systems. Our control method specifies not only when to execute control tasks but also provides a way to discretize the optimal control trajectory into sever...

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Bibliographic Details

Published in:	IEEE transactions on automatic control 2017-01, Vol.62 (1), p.177-189
Main Authors:	Hashimoto, Kazumune, Adachi, Shuichi, Dimarogonas, Dimos V.
Format:	Article
Language:	eng
Subjects:	Actuators Adaptive Control Adaptive control systems Adaptive sampling Adaptive systems Communication load Continuous time systems Control methods Control tasks Dynamical systems Event-Triggered control Event-triggered controls Feedback control Linear systems Local state feedback Model predictive control model predictive control (MPC) Network control Networked control systems Nonlinear control Nonlinear inputs nonlinear systems Optimal control Optimal controls Predictive control Predictive control systems Simulation example Stability analysis State feedback Trajectory Trajectory control Trajectory optimization
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