This research project focuses on a class of systems characterized by having components that communicate through a wireless sensor network and be composed of coupled subsystems that share certain variables. The behavior of these systems can be influenced b y the inherent problems to signal transmission: time delays, package losses, noises and uncertainties, among others. In many cases it is necessary to design decentralized controllers instead of a unique central one.
On the other hand, networked control sy stems (NCSs) are spatially distributed systems in which plants to be controlled, sensors, actuators, and controllers, are remotely positioned and communicate with each other through shared band-limited digital communication networks. Compared with traditi onal point-to-point control systems, the main advantages of network structured control systems come from their low cost, flexibility and easy re-configurability, natural reliability and robustness to failure, and adaptation capability. Consequently, NCSs have been finding applications in a broad range of areas such as transportation networks, power grids, mobile sensor networks, water distribution networks, unmanned aerial vehicles and so on. However, there are also some drawbacks caused by the very natur e of communication networks such as transmission delays, packet dropouts, data quantization errors, data rate constraints, etc. Currently engineers, control engineers in particular, have to deal with many network-induced new and challenging issues arising from analysis and synthesis of complex networked control systems. During the past few years, increasing attention has been paid to the study of networked control systems in terms of stability analysis, controller synthesis, state estimation, and performa nce optimization under various network-induced constraints.
However, analysis and synthesis of networked control systems are still in the early stage of development and many critical issues remain to be further inve