Title: Towards Generic Parameterisation of Stable Adaptive Control Systems
Speaker: Dr. Namhoon Jo
Date and Time: 2025.01.08(Wed) 11:00 – 12:00
Venue: F407
Abstract: Adaptive control is known as an approach that enables stable control under uncertainties without sacrificing nominal performance for enhanced robustness. However, it is not always straightforward to realise the attractive benefit in practice due to added complexity of adaptive control systems. A design automation framework that performs optimisation over the feasible space of controllers is believed to be potentially useful for alleviating the difficulties in the design processes. As a first step to formulate a controller optimisation problem, we desire to characterise the admissible design space to the most complete extent possible so that the search can be performed within the widest possible range of achievable performances. In this talk, we will discuss different facets of adaptive control systems focusing on how each element can be generalised to establish a flexible parameterisation of stable adaptive controllers that can be useful for tuning. Specifically, new ideas that extend model reference adaptive control beyond the classical architecture and adaptation law will be presented.
– Short Bio: Namhoon Cho is Lecturer in Control and Optimisation in the Centre for Assured and Connected Autonomy, Faculty of Engineering and Applied Sciences, Cranfield University, United Kingdom, since November 2024. He received his BSc and PhD degrees in Mechanical and Aerospace Engineering from Seoul National University, South Korea, in August 2012 and February 2017, respectively. Previously, he was a research fellow at Cranfield University from January 2021 to November 2024 with the award of a Cranfield 75th Anniversary Fellowship to pursue research on AI for Exploitation of Data-Driven Approach in Control for Aerospace Systems. He was a senior researcher in the 1st R&D Institute, Agency for Defense Development, South Korea, from March 2019 to December 2020, where he was involved in research and development of guidance and control systems for missiles and developed design tools based on optimisation techniques. He was a research fellow in the Department of Mechanical and Aerospace Engineering, Seoul National University, South Korea, from March 2017 to February 2019. He develops constructive methodologies to design control algorithms for aerospace and robotic systems. His research interests include control-theoretic design of optimisation algorithms, robust adaptive control with online model learning, trajectory planning, data-driven safe control frameworks, learning-enabled control with safety assurance, and unified frameworks for automated design of optimal guidance and control systems.