Takatsuki, Japan

Yutaka Ohtsubo


Average Co-Inventor Count = 1.7

ph-index = 2

Forward Citations = 23(Granted Patents)


Company Filing History:


Years Active: 1993-2005

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3 patents (USPTO):Explore Patents

Title: Yutaka Ohtsubo: Innovator in Fuzzy Control Systems

Introduction

Yutaka Ohtsubo is a notable inventor based in Takatsuki, Japan. He has made significant contributions to the field of fuzzy control systems, holding three patents that showcase his innovative approach to technology. His work focuses on enhancing the functionality and efficiency of fuzzy systems, which are essential in various applications.

Latest Patents

Ohtsubo's latest patents include a fuzzy system, a fuzzy control system development support apparatus, and a method of developing a fuzzy control system. The fuzzy control system development support apparatus features a membership function unit that includes a membership function setting section. This section adjusts the positions or shapes of membership functions based on inputs that influence human senses. Additionally, it has a membership value computing section that calculates membership function values associated with input variables. His fuzzy controller is designed to select input signals and includes an input signal level converter and an output signal level converter, enhancing the overall performance of fuzzy inference operations.

Career Highlights

Throughout his career, Ohtsubo has worked with prominent companies such as Shimano Inc. and Omron Tateisi Electronics Co. His experience in these organizations has allowed him to refine his skills and contribute to the advancement of fuzzy control technologies.

Collaborations

Ohtsubo has collaborated with notable coworkers, including Yasuhiro Tsutsumi and Kazuaki Urasaki. Their combined expertise has furthered the development of innovative solutions in the field of fuzzy systems.

Conclusion

Yutaka Ohtsubo's contributions to fuzzy control systems demonstrate his commitment to innovation and technology. His patents reflect a deep understanding of the complexities involved in fuzzy systems, making him a significant figure in this area of research.

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