Search

Now showing items 1-10 of 35

Rule Weight Specification in Fuzzy Rule-Based Classification Systems

Type: Journal Paper

Author : Ishibuchi, H.; Yamamoto, T.

Year: 2005

Request PDF

Performance driven switching control based on the gain monitoring

Type: Conference Paper

Author : Ohnishi, Y. , Yamamoto, T.

Publisher: IEEE

Year: 2014

A fundamental study of light and flexible wearable robot assisting to recover movement functions

Type: Conference Paper

Author : Ogata, K.; Yamamoto, T.

Publisher: IEEE

Year: 2014

Switching control of DC-DC converters with Electric Double-Layer Capacitor based on control performance index

Type: Conference Paper

Author : Ohnishi, Y.; Yamamoto, T.

Publisher: IEEE

Year: 2014

[IEEE 1999 American Control Conference - San Diego, CA, USA (2-4 June 1999)] Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251) - A design of self-tuning PID controllers using a genetic algorithm

Type: Journal Paper

Author : Mitsukura, Y.; Yamamoto, T.; Kaneda, M.

Year: 1999

Request PDF

[IEEE 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation - Nagoya, Japan (22-28 Oct. 2000)] 2000 26th Annual Conference of the IEEE Industrial Electronics Society. IECON 2000. 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation. 21st Century Technologies and Industrial Opportunities (Cat. No.00CH37141) - Backward movement control of a trailer truck system using neuro-controllers evolved by genetic algorithm

Type: Journal Paper

Author : Kinjo, H.; Bingchen Wang,; Yamamoto, T.

Year: 2000

Request PDF

Proposal of a Method Detecting Malicious Processes

Type: Conference Paper

Author : Yamamoto, T. , Kawauchi, K. , Sakurai, S.

Publisher: IEEE

Year: 2014

Design and experimental evaluation of a human skill-based controller

Type: Conference Paper

Author : Yuntao Liao , Takuya, K. , Yamamoto, T.

Publisher: IEEE

Year: 2014

Design of a smart adaptive control system based on control performance evaluation

Type: Conference Paper

Author : Kinoshita, T.; Kishimoto, A.; Yamamoto, T.

Publisher: IEEE

Year: 2014

Design and development of a low power Tactile Multi-Sensor Network for robotic systems

Type: Conference Paper

Author : Cuellar, F. , Yamamoto, T. , Ishiguro, H.

Publisher: IEEE

Year: 2014

Search

Rule Weight Specification in Fuzzy Rule-Based Classification Systems

Performance driven switching control based on the gain monitoring

A fundamental study of light and flexible wearable robot assisting to recover movement functions

Switching control of DC-DC converters with Electric Double-Layer Capacitor based on control performance index

[IEEE 1999 American Control Conference - San Diego, CA, USA (2-4 June 1999)] Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251) - A design of self-tuning PID controllers using a genetic algorithm

Proposal of a Method Detecting Malicious Processes

Design and experimental evaluation of a human skill-based controller

Design of a smart adaptive control system based on control performance evaluation

Design and development of a low power Tactile Multi-Sensor Network for robotic systems

Author

Publisher

Year

Keywords

Type

Language (ISO)

Content Type

Publication Title

Search

Filters

Rule Weight Specification in Fuzzy Rule-Based Classification Systems

Performance driven switching control based on the gain monitoring

A fundamental study of light and flexible wearable robot assisting to recover movement functions

Switching control of DC-DC converters with Electric Double-Layer Capacitor based on control performance index

[IEEE 1999 American Control Conference - San Diego, CA, USA (2-4 June 1999)] Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251) - A design of self-tuning PID controllers using a genetic algorithm

Proposal of a Method Detecting Malicious Processes

Design and experimental evaluation of a human skill-based controller

Design of a smart adaptive control system based on control performance evaluation

Design and development of a low power Tactile Multi-Sensor Network for robotic systems