Design of a Database-Driven Kansei Feedback Control System Using a Hydraulic Excavators Simulator

Author:

Kinoshita Takuya,Ikeda Hiroaki,Yamamoto Toru,Machizawa Maro G.,Tanaka Kiyokazu,Yamazaki Yoichiro, , , ,

Abstract

In Japan, the level of happiness is considered low despite the gross domestic product (GDP) being high, and a wide gap separates “products wealth” related to GDP and “mental wealth such as Kansei” related to the level of happiness. To fill this gap, products should be controlled to enhance Kansei according to human feelings. However, it is difficult to obtain the Kansei model because of time-variant and nonlinear system. In this paper, the design of a data-oriented cascade control system based on Kansei is newly proposed. In particular, a database-driven controller is designed for a human based on Kansei. The effectiveness of the proposed scheme is verified by using the electroencephalograph (EEG).

Publisher

Fuji Technology Press Ltd.

Subject

Electrical and Electronic Engineering,General Computer Science

Reference16 articles.

1. The Commission on Measuring Well-being, Japan, “Measuring National Well-Being – Proposed Well-being Indicators –,” Cabinet Office, Government of Japan, 2011 (in Japanese).

2. K. Hiraki and N. Kanayama (Eds.), “Introduction to electroencephalogram analysis – Using EEGLAB and SPM –,” University of Tokyo Press, 2016

3. T. Yamamoto, K. Takao, and T. Yamada, “Design of a Data-Driven PID Controller,” IEEE Trans. on control systems Technology, Vol.17, No.1, pp. 29-39, 2009.

4. S. Wakitani and T. Yamamoto, “A Learning Algorithm for a Data-Driven Controller Based on Fictitious Reference Iterative Tuning,” Proc. of 2016 Int. Joint Conf. on Neural Networks (IJCNN 2016), pp. 4908-4913, 2016.

5. T. Kinoshita and T. Yamamoto, “Design of a Data-Oriented Cascade Control System,” Proc. of the 6th Int. Symp. on Advanced Control of Industrial Processes (AdCONIP), pp. 365-370, 2017.

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