Analysis and Synthesis of Networked Control Systems with Various Network-induced Constraints

Project: Research

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Networked control systems (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 traditional 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 nature 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 performance 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 investigated. This project will investigate and develop novel approaches to analysis and synthesis of networked control systems with these network-induced constraints. The outcome of this project is expected to enrich theoretical foundation on analysis and synthesis of networked control systems, and, in turn, the proposed approaches will provide control engineers in practice with more and/or better analysis and controller design tools.


Project number9041664
Grant typeGRF
Effective start/end date1/01/126/07/15