1. Networked Adaptive Systems: Cyber-physical systems (CPS) are engineered systems that are built from, and depend upon, the seamless integration of computational algorithms and physical components. It is expected that the advances in CPS will enable capability and adaptability that exceeds the embedded systems of today, and will transform the manner in which people interact with engineered systems. In this problem area, the focus is on the fact that CPS are feedback systems with networked sensing and/or actuation.
Traditional control theory assumes continuous or discrete-time signals, where the controller continually or periodically observes the physical subsystem, and continually or periodically provides actuation to the plant. CPS systems are closed-loop or feedback systems, where typically sensors make measurements of physical processes, the measurements are processed in the cyber subsystems, which then drive actuators that affect the physical processes. The control strategies implemented in the cyber subsystems need to be adaptive (responding to changing conditions and uncertainties in the physical system and environments) and predictive (anticipating such changes).
The principal focus of the proposed research problem is on networked adaptive systems that deal with the stability and performance of classes of systems with uncertainties and nonlinearities, when information between the compensator and the plant is passed through a wireless network, with the objective to mitigate the effects of congestion in communication paths (e.g., packet delays and packet dropout). Due to the presence of uncertainties and nonlinearities in the physical system, adaptive solutions are required. Preliminary work on networked adaptive systems with all systems assumed to be linear, time-invariant and discrete-time show good promise. There is sufficient scope to extend this to continuous-time or sampled-data systems, systems in the presence of disturbances and noise, systems with modelling uncertainties, systems that have time-varying parameters as well as nonlinear systems.