研究室紹介

System Design

Department of Electronics, Faculty of Information Science and Electrical Engineering

Department of Electrical and Electronic Engineering, Graduate School of Information Science and Electrical Engineering

Department of Electrical Engineering and Computer Science, School of Engineering

System Design Laboratory mainly conducts two kinds of studies. One is the motion and vibration control of automobiles. For realizing the ecological and safe automotive control, we aim at developing (1) a driver assistance system that compensates the work of driving control systems or human drivers by using the information of vehicle and road conditions, and (2) a driving control system that can effectively exploit the work of driver assistance system. In particular, we address these issues on the basis of control engineering. Moreover, we aim at establishing the algebraic nonlinear-control theory and applying it to engine control.
The other addresses design and operation of large-scale complex systems. A typical example is the system covering from electrical power generation to its consumption, which is a large-scale system with many machines and devices and has high complexity resulting from involvement of various human decisions. Learning systems that support analysis and design of these systems are being developed, together with optimization techniques that make the systems and their operations best. As their applications, research is being done on electrical energy management systems. Moreover, we study optimization systems that find the most suitable thing such as a graphic art and a fashion design for a person, where suitability depends on the person-specific preference or sensibility.

Staff

Prof. Taketoshi Kawabe
Prof. Junichi Murata
Asst.Prof. Ryohei Funaki
Asst.Prof. Tsuyoshi Yuno

The Main Research Topics

  • Development of a driving control system and a driver assistance system
  • Establishment of the algebraic nonlinear-control theory
  • New proposal and improvement of optimization and learning algorithms
  • Optimal operation of electrical energy management systems
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