学術雑誌論文

学術雑誌論文

IFAC Journal of Systems and Control. 2024, 29, p. 100268

Periodic event-triggered controller design with Bayesian optimization: An emulation-based approach

Hashimoto, Kazumune

Elsevier Ltd

英語

2024-09-01

https://doi.org/10.1016/j.ifacsc.2024.100268

Hashimoto K. Periodic event-triggered controller design with Bayesian optimization: An emulation-based approach. IFAC Journal of Systems and Control 29, 100268 (2024); https://doi.org/10.1016/j.ifacsc.2024.100268.

In recent years, event-triggered control has emerged as a promising strategy for addressing resource constraints in networked control systems (NCSs), such as limited life-time of battery capacity. This paper explores the development of a periodic event-triggered controller through a model-free design, assuming unknown plant dynamics. The design of the event-triggered controller employs an emulation-based approach, which is divided into solving two sub-problems: the problem for designing parameters for the time-triggered (periodic) control law, and the problem for designing parameters for the event-triggered condition. In particular, both problems will be solved through the usage of two distinct Bayesian optimization algorithms. The first problem is addressed by adapting basic Bayesian optimization to include network utilization by considering the number of communication time steps during optimization. The second problem employs constrained Bayesian optimization to incorporate explicit performance constraints within the optimization process. A numerical example is provided to demonstrate the effectiveness of the proposed method.

This article is licensed under a Creative Commons Attribution 4.0 International License.

98155

Periodic event-triggered controller design with Bayesian optimization: An emulation-based approach

Hashimoto, Kazumune

Elsevier Ltd

英語

2024-09-01

IFAC Journal of Systems and Control

29

100268

https://doi.org/10.1016/j.ifacsc.2024.100268

https://hdl.handle.net/11094/98155