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Learning-Based Actuator Placement and Allocation for Resilience against Attacks

Dates:26 September 2023
Times:13:00 - 14:00
What is it:Seminar
Organiser:Department of Electrical and Electronic Engineering
Who is it for:University staff, Current University students
Speaker:Kyriakos G. Vamvoudakis
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  • Department of Electrical and Electronic Engineering, Events
  • Department of Electrical and Electronic Engineering, Research Areas of expertise, Control systems
  • Past-seminars

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  • In category "Seminar"
  • In group "(EEE) Control and robotics"
  • In group "(EEE) Seminar series"
  • By Department of Electrical and Electronic Engineering

Welcome to this EEE Control & Robotics seminar Cyber-physical systems (CPS) comprise interacting digital, analog, physical, and human components engineered for function through integrated physics and logic. Incorporating intelligence in CPS, however, makes their physical components more exposed to adversaries that can potentially cause failure or malfunction through actuation attacks. As a result, augmenting CPS with resilient control and design methods is of grave significance, especially if an actuation attack is stealthy. Towards this end, in the first part of the talk, I will present a receding horizon controller, which can deal with undetectable actuation attacks by solving a game in a moving horizon fashion. This controller can guarantee stability of the equilibrium point of the CPS, even if the attacker has an information advantage. In the second part of the talk, and for CPS that have partially unknown dynamics, I will present an online actuator placement algorithm, which chooses the actuators of the CPS that maximize an attack security metric. It can be proved that the maximizing set of actuators is found in finite time, despite the CPS having uncertain dynamics. In the final part, I will discuss an application of actuator selection on an optimal control allocation problem and provide an algorithm that performs this selection in a partially model-free manner.

Speaker

Kyriakos G. Vamvoudakis

Organisation: Georgia Tech.

Biography: Daniel Abara is an R&D Engineer at Quanser Consulting Inc. He is currently onsecondment as an Academic Visitor in the Department of Electrical & Electronic Engineeringat the University of Manchester. Prior to that, Daniel had lectured at the University ofCrossRiver State (formerly Cross River Uni. of Tech.) and is still affiliated with the university. He hasinterests in control/autonomous systems, robotics, and data science. He holds a Bachelors inelectrical & Electronic Engineering from the Universityof Cross River, a Masters in AdvancedControl & Systems Engineering, and a Doctorate in Electrical & Electronic Engineering bothfrom the University of Manchester. He is a member of the Institute of Engineering andTechnology and a Fellow of the Higher Education Authority.

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