My research is in the area of mathematical control theory and its applications to
different engineering problems, such as mechanical systems.
Underlying most of my work is the Lyapunov stability theory and its different extensions
to systems with disturbances within the framework of input-to-state stability (ISS). Also, I have done
extensive work on the averaging and singular perturbations methods for nonlinear systems with
disturbances. My PhD Thesis was on analysis of controllability of discrete-time polynomial (nonlinear)
systems. Recently, I have developed a novel framework for controller design for nonlinear sampled-data systems via their approximate
discrete-time models. I have applied these tools to a range of engineered systems including multi-robot systems, internal combustion engines, atomic force microscopes, Lithium-Ion batteries and Raman optical amplifiers.
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Modeling, analysis and design of secure networked control systems
ARC Discovery Project (DP170104099), 2017-2019
D. Nesic (CI), I. Shames (CI), R. Postoyan (PI), A.R. Teel (PI)
Summary: Advances in computation and communication technology have lead to a new generation of Networked Control Systems (NCS) that have an enormous potential to control large-scale and complex distributed systems. Improved NCS technology will underpin our ability to optimise water and energy use, live in sustainable communities and create greater efficiencies in manufacturing and transport globally. These significant benefits can only be delivered through the development of novel NCS design methodologies essential to harnessing this emerging technology. We will address this challenging task by developing models, fundamental science and control engineering design techniques for NCS with several important physical networks.