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Event-Triggered and Self-Triggered Control for Networked Control Systems Using Online Optimization
Koichi KOBAYASHI Kunihiko HIRAISHI
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2016/02/01
Online ISSN: 1745-1337
Type of Manuscript: Special Section PAPER (Special Section on Mathematical Systems Science and its Applications)
event-triggered control, self-triggered control, networked control systems, model predictive control,
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Event-triggered and self-triggered control methods are an important control strategy in networked control systems. Event-triggered control is a method that the measured signal is sent to the controller (i.e., the control input is recomputed) only when a certain condition is satisfied. Self-triggered control is a method that the control input and the (non-uniform) sampling interval are computed simultaneously. In this paper, we propose new methods of event-triggered control and self-triggered control from the viewpoint of online optimization (i.e., model predictive control). In self-triggered control, the control input and the sampling interval are obtained by solving a pair of a quadratic programming (QP) problem and a mixed integer linear programming (MILP) problem. In event-triggered control, whether the control input is updated or not is determined by solving two QP problems. The effectiveness of the proposed methods is presented by numerical examples.