System Synthesis

  • Human Machine Symbiosis
  • System Synthesis
  • Systems Informatics
  • Applied Informatics

System Synthesis

For intelligent systems, the acquisition of information about themselves and their surroundings is prerequisite to attain their self-stabilization and to enhance their own functions. The Division performs the education and research from the standpoint of applied mathematics for solving a variety of problems in Systems Synthesis: the artificial realization of adaptive and learning abilities in humans and the living things as well, and the modeling and information processing for exploring systems advanced functions.

Adaptive Systems Theory

Approach to information processing based on probabilistic model

We study various theoretical problems which arise in considerations of artificially realizing functionalities of human beings, such as adaptation, learning, and inference, via probability-based approach, which will be useful in various applications such as artificial intelligence, pattern recognition, data mining, and digital wireless communications. Current research subjects are in the areas of information processing, statistical-mechanics-based informatics, information and communication theory, and machine learning.

Adaptive Systems Theory

Mathematical System Theory

For better understanding of mathematical systems based on probabillistic and statistical approach

Our research and teaching concern analysis and synthesis of mathematical models for probabilistic and statistical problems appearing in many systems, and development of efficient algorithms in practical implementations. Current research projects include time series analysis, various adaptive algorithms in digital signal processing, distortion compensation for wireless communications systems and distributed in-network signal processing.

Mathematical System Theory

pagetop