Resilient estimation and safe control for cyber-physical systems

The recent decade has been critical in designing and deploying cyber-physical systems (CPS). CPS Security and CPS safety often are essential. The research proposed in this dissertation aims to enable safe operation for cyber-physical systems (CPS) subject to significant uncertainties, such as malicious attacks, unforeseen environments, and model uncertainties, by integrating resilient estimation algorithms and safe control methods. First, we consider the problem of a safety-constrained control architecture design against GPS spoofing/jamming attacks. We develop a resilient estimation algorithm to detect attacks and design control algorithms based on the model predictive controller (MPC) subject to limited sensor availability due to the sensor attacks. In another scenario of actuator attacks, we propose a constrained attack-resilient estimation algorithm (CARE) against the CPS attacks. The CARE can simultaneously estimate the compromised system states and the attack signals. In particular, CARE first provides minimum-variance unbiased estimates and then projects the estimates onto the constrained space induced by physical constraints and operational limitations. The proposed CARE performs better in estimation and attack detection by reducing estimation errors, covariances, and false negative rates. Following that, we extend our resilient estimation algorithm to a spatio-temporal framework. Building on the proposed resilient spatio-temporal filtering, we design a proactive adaptation architecture for connected vehicles in unforeseen environments, synthesizing techniques in spatio-temporal data fusion and robust adaptive control. Finally, we propose an efficient interval estimation method for estimating systems under faulty model uncertainties. The method applies to a broad class of systems with a large uncertainty setup.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Mechanical Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2022

Author dc:creator

• Wan, Wenbin

Contributors dc:contributor

• Hovakimyan, Naira
• Sha, Lui
• Salapaka, Srinivasa
• Voulgaris, Petros
• Kim, Hunmin

• Cyber-physical Systems
• Resilient Estimation
• Robust Control
• Adaptive Control
• Interval Estimation

Statement dc:rights

• Copyright 2022 Wenbin Wan

Language dc:language

en, eng

Handle dc:identifier

https://hdl.handle.net/2142/117649

OAI record oai:identifier

https://www.ideals.illinois.edu/oai-pmh?verb=GetRecord&metadataPrefix=etdms&identifier=oai%3Awww.ideals.illinois.edu%3A2142%2F117649