Assistant Professor
Michelle Chong
Department / Institute
Group
RESEARCH PROFILE
My research interests lie in the theoretical foundations of mathematical control and systems theory and its applications. In particular, the development of estimation and control algorithms for hybrid and nonlinear dynamical systems (such as cyber-physical systems, networked systems and autonomous systems), with applications to neuroscience (neural stimulation devices) and power systems. A special aspect of interest is cyber security, safety and privacy.
Webpage
Recent Publications
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Resilient set-based state estimation for linear time-invariant systems using zonotopes
European Journal of Control (2023) -
Secure Set-Based State Estimation for Linear Systems under Adversarial Attacks on Sensors
(2023) -
Reachable set-based dynamic quantization for the remote state estimation of linear systems
(2023) -
Safety monitoring under stealthy sensor injection attacks using reachable sets
(2023) -
Secondary Controller Design for the Safety of Nonlinear Systems via Sum-of-Squares Programming
arXiv (2023)
Current Educational Activities
Ancillary Activities
No ancillary activities