Graph-Based Controller Synthesis for Safety-Constrained, Resilient Systems
Matija Bucic, Melkior Ornik, Ufuk Topcu

TL;DR
This paper presents a graph-based approach for designing control strategies that ensure safety and resilience in autonomous systems facing adversarial control input limitations.
Contribution
It introduces a novel method to partition control inputs and synthesize control policies using safety games and graph labelings for resilient autonomous systems.
Findings
Develops conditions for safe control input partitioning.
Provides an efficient algorithm for system design and control policy synthesis.
Demonstrates effectiveness on autonomous vehicle and communication channel examples.
Abstract
Resilience to damage, component degradation, and adversarial action is a critical consideration in design of autonomous systems. In addition to designing strategies that seek to prevent such negative events, it is vital that an autonomous system remains able to achieve its control objective even if the system partially loses control authority. While loss of authority limits the system's control capabilities, it may be possible to use the remaining authority in such a way that the system's control objectives remain achievable. In this paper, we consider the problem of optimal design for an autonomous system with discrete-time linear dynamics where the available control actions depend on adversarial input produced as a result of loss of authority. The central question is how to partition the set of control inputs that the system can apply in such a way that the system state remains within…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFormal Methods in Verification · Petri Nets in System Modeling · Adversarial Robustness in Machine Learning
