A key research challenge of the Industrial Applications research theme is to develop theoretical tools for the design and analysis of decentralized estimation and control schemes suitable for very large scale distributed hybrid dynamical systems with network connected sensors and actuators. Such systems arise in urban transport systems, so-called smart-grid power systems, urban and rural water distribution systems, defence C4I systems, surveillance systems consisting of large swarms of possibly mobile sensors, industrial SCADA systems, and many other applications.
Modern control and estimation techniques developed over the past 50 years provide efficient and practical solutions to a great range of small and medium scale multi-variable problems where centralized information structures prevail. Over the past 10 years important advances have been made in the understanding of information flows for decentralized control of dynamical systems and systems with non-classical information patterns. There have also been significant advances in the application of optimization techniques for moving horizon control of large distributed systems with decentralized sensing and actuation. A major aim of our projects is to develop theoretical frameworks and robust design tools that address the challenges of estimator and controller design for very large distributed systems with networked sensors and actuators.
- Distributed Control & Estimation in Networked Environments (DICE)
- Future Grid
- Water Networks