| Research Topics |
Dynamical systems arising in engineering problems in modern society are getting increasingly huge and complex, and exhibit a large-scale network structure consisting of a number of sub-systems. Examples of such systems include power grids, sensor networks, formations of mobile vehicles, etc. Methodologies based on mathematical system models are essential to guarantee stability and high performance of large-scale complex control systems under various constraints. Against this background, we conduct research and education regarding systems and control engineering aiming at development of practical and expansible methods for modeling, control, and estimation of a wide variety of dynamical systems.
FUNDAMENTAL SYSTEM & CONTROL THEORY
- Linear system theory (especially, a behavioral approach)
- Optimal control theory
- Robust control theory
- Robust synchronization of multiple agents with model uncertainties
- Synchronization of linear multi-agent systems subject to input/output constraints
- Distributed cooperative Kalman filters (under preparation)
- Formation control of wheeled mobile robots with obstacle avoidance
- SLAM (simultaneous localization and mapping) using multiple robots
- Visual feedback tracking control of drones
- State-of-Charge estimation and aging diagnosis of lithium-ion batteries based on Kalman filtering and system identification techniques
- Stochastic model predictive control of micro-grids based on PV power generations