JACIII Vol.21 No.6 pp. 1111-1113
doi: 10.20965/jaciii.2017.p1111


Event-Triggered Quantizers for Network Traffic Reduction

Juan Rodriguez Ramirez*, Yuki Minami**, and Kenji Sugimoto*

*Graduate School of Information Science, Nara Institute of Science and Technology
8916-5 Takayama-cho, Ikoma, Nara 630-0192, Japan

**Graduate School of Engineering, Osaka University
2-1 Yamadaoka, Suita, Osaka 565-0871, Japan

May 23, 2017
July 19, 2017
October 20, 2017
networked control system, dynamic quantization, event-triggered mechanism, network traffic

In the operation of networked control systems, signal quantization is a fundamental problem. Because a network can be shared, another important problem that affects the system performance is the network’s traffic congestion. The event-triggered quantizer is developed to reduce the effects of such problems. Its design problem is formulated, and it is solved using the differential evolution (DE) metaheuristic algorithm. The effectiveness of the event-triggered quantizer is verified through numerical examples.

Cite this article as:
J. Ramirez, Y. Minami, and K. Sugimoto, “Event-Triggered Quantizers for Network Traffic Reduction,” J. Adv. Comput. Intell. Intell. Inform., Vol.21 No.6, pp. 1111-1113, 2017.
Data files:
  1. [1] J. Rodriguez Ramirez, Y. Minami, and K. Sugimoto, “Design of finite-level dynamic quantizers by using differential evolution algorithm,” In SICE Annual Conf. 2015, pp. 841-844, July 2015.
  2. [2] J. Rodriguez Ramirez, Y. Minami, and K. Sugimoto, “Design of finite-level dynamic quantizers by using covariance matrix adaptation evolution strategy,” Int. J. of Innovative Computing, Information and Control, Vol.12, No.3, pp. 795-808, 2016.
  3. [3] S. Azuma and T. Sugie, “Optimal dynamic quantizers for discretevalued input control,” Automatica, Vol.44, No.2, pp. 396-406, 2008.

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Last updated on Apr. 22, 2024