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Networked predictive control is a new research method for networked control systems, which can handle network-induced problems such as time-delays, data dropouts, packets disorders, etc. and stabilise the networked control systems. This work has extensively studied the following problems: robust control of networked predictive linear control systems, control scheme for networked nonlinear control systems and robust control of networked nonlinear control systems. This work provides a theoretical framework for stability analysis and robust controller synthesis for networked predictive control…mehr

Produktbeschreibung
Networked predictive control is a new research method for networked control systems, which can handle network-induced problems such as time-delays, data dropouts, packets disorders, etc. and stabilise the networked control systems. This work has extensively studied the following problems: robust control of networked predictive linear control systems, control scheme for networked nonlinear control systems and robust control of networked nonlinear control systems. This work provides a theoretical framework for stability analysis and robust controller synthesis for networked predictive control systems. In this work, both time-driven and event-driven predictive controllers are used to stabilise the networked predictive control systems.
Autorenporträt
Hua Ouyang received PhDs from University of Glamorgan and UNSW in 2007 and 2011, respectively. He worked as RA and Postdoctoral Research Fellow at UNSW in 2010-2013. He is currently a Research Fellow at University of Sydney. His research interests include robust control, networked control systems, nonlinear control and system identification.