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2012 Research Expo PhD Topics

This research project focuses on networked control systems where controllers, sensors, and actuators are distributed and connected through digital communication networks. Key applications include remote medical diagnosis, security systems, and wastewater treatment. Challenges addressed include time delays, packet losses, and network security. Specific objectives are to study stability, performance, fault detection, and fault-tolerant control designs. Additionally, the project explores fuzzy control methods for nonlinear systems, emphasizing stability analysis and the management of uncertainties and delays.

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2012 Research Expo PhD Topics

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  1. 2012 Research Expo PhD Topics Professor Peng Shi

  2. Networked Control Systems • A networked control system • controllers, sensors and actuators are spatially distributed and connected via a certain digital communication network. • Examples: data communication, remote medical diagnosis and surgery,  security systems, waste water treatment process, and internet-based tele-operation. • Problems include: induced time delays, packet losses and disorder, time-varying transmission intervals, competition of multiple nodes accessing networks, data quantization, clock synchronization among local and remote nodes, and network security and safety. • This project will systematically study the problems of stability and performance analysis; networked control and estimation; network-based fault detection and tolerance; networked identification.

  3. Network-based Fault Reconstruction and Fault-Tolerant Control Design • Fault reconstruction is one of the most important research problems in system control and fault detection. • Fault reconstruction estimates the fault directly, and improves the detecting ability for slow-varying or initial faults. • The aims • to model and clarify non-uniform sampling, communication delay, packet loss and signal quantization; • To develop new analysis and design methods for network-based fault reconstruction and fault-tolerant control systems based on existing techniques, such as, sample-data control, impulsive control, stochastic control and variable structure control.

  4. Stability Analysis and Control of Fuzzy Control Systems • Many practical systems can be described by fuzzy models • Examples: mobile robot navigation in dynamic unstructured indoor and outdoor environments, socio-economic. • This project is on stability analysis and control design on nonlinear systems by fuzzy modelling techniques. New methodologieswill be developed to cope with parametric uncertainties, time-delays, deterministic and random switching.     

  5. Professor Peng Shi Dr Shi’s research interests include system and control theory, computational and intelligent systems, and operational research. He has published widely. His publications include five monographs and over 400 journal papers. His work has received well over 4000 citations, and his H-index is 40. Current email contact: Peng.Shi@vu.edu.au

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