Decentralized Control Barrier Functions for Coupled Multi-Agent Systems under Signal Temporal Logic Tasks
We study the problem of controlling multi-agent systems under a set of signal temporal logic tasks. Signal temporal logic is a formalism that is used to express time and space constraints for dynamical systems. Recent methods to solve the control synthesis problem for single-agent systems under sign...
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Main Authors | , |
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Format | Journal Article |
Language | English |
Published |
25.11.2020
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Subjects | |
Online Access | Get full text |
DOI | 10.48550/arxiv.2011.12775 |
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Summary: | We study the problem of controlling multi-agent systems under a set of signal
temporal logic tasks. Signal temporal logic is a formalism that is used to
express time and space constraints for dynamical systems. Recent methods to
solve the control synthesis problem for single-agent systems under signal
temporal logic tasks are, however, subject to a high computational complexity.
Methods for multi-agent systems scale at least linearly with the number of
agents and induce even higher computational burdens. We propose a
computationally-efficient control strategy to solve the multi-agent control
synthesis problem that results in a robust satisfaction of a set of signal
temporal logic tasks. In particular, a decentralized feedback control law is
proposed that is based on time-varying control barrier functions. The obtained
control law is discontinuous and formal guarantees are provided by nonsmooth
analysis. Simulations show the efficacy of the presented method. |
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DOI: | 10.48550/arxiv.2011.12775 |