This approach synthesizes controllers meeting omega-regular specifications in unknown systems, highlighting effective hybrid policies for complex navigation tasks.
This paper provides a discretization-free solution to the synthesis of approx-imation-free closed-form controllers for unknown nonlinear systems to enforce complex properties expressed by ω-regular languages, as recognized by Non-deterministic B\"uchi Automata (NBA). In order to solve this problem, we first decompose NBA into a sequence of reach-avoid problems, which are solved using the Spatiotemporal Tubes (STT) approach. Controllers for each reach-avoid task are then integrated into a hybrid policy that ensures the fulfillment of the desired ω-regular properties. We validate our method through omnidirectional robot navigation and manipulator control case studies.
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Das et al. (2025) studied this question.
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