1
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Controller Synthesis of Collaborative Signal Temporal Logic Tasks for Multi-Agent Systems via Assume-Guarantee Contracts

      Preprint
      , ,

      Read this article at

          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          This paper considers the problem of controller synthesis of signal temporal logic (STL) specifications for large-scale multi-agent systems, where the agents are dynamically coupled and subject to collaborative tasks. A compositional framework based on continuous-time assume-guarantee contracts is developed to break the complex and large synthesis problem into subproblems of manageable sizes. We first show how to formulate the collaborative STL tasks as assume-guarantee contracts by leveraging the idea of funnel-based control. The concept of contracts is used to establish our compositionality result, which allows us to guarantee the satisfaction of a global contract by the multi-agent system when all agents satisfy their local contracts. Then, a closed-form continuous-time feedback controller is designed to enforce local contracts over the agents in a distributed manner, which further guarantees the global task satisfaction based on the compositionality result. Finally, the effectiveness of our results is demonstrated by two numerical examples.

          Related collections

          Author and article information

          Journal
          23 September 2023
          Article
          2309.13499
          09eb132f-642d-4ad7-bd5d-4685730426d9

          http://arxiv.org/licenses/nonexclusive-distrib/1.0/

          History
          Custom metadata
          arXiv admin note: substantial text overlap with arXiv:2203.10041
          eess.SY cs.MA cs.SY

          Performance, Systems & Control,Artificial intelligence
          Performance, Systems & Control, Artificial intelligence

          Comments

          Comment on this article

          Related Documents Log