Prescribed Performance Control for Signal Temporal Logic Specifications
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Abstract (arXiv)
Motivated by the recent interest in formal methods-based control for dynamic robots, we discuss the applicability of prescribed performance control to nonlinear systems subject to signal temporal logic specifications. Prescribed performance control imposes a desired transient behavior on the system trajectories that is leveraged to satisfy atomic signal temporal logic specifications. A hybrid control strategy is then used to satisfy a finite set of these atomic specifications. Simulations of a multi-agent system, using consensus dynamics, show that a wide range of specifications, i.e., formation, sequencing, and dispersion, can be robustly satisfied.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 21 Mar 2017.
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Citing papers per year: 2022: 1; 2023: 0; 2024: 0; 2025: 0; 2026: 3.
4 papers.
- 2022Funnel-based Reward Shaping for Signal Temporal Logic Tasks in Reinforcement Learningcited by 8
- 2026Multi-Agent Planning with Spatio-Temporal and Topological Constraints using STL-GOcited by 0
- 2026Reward Machines for Signal Temporal Logiccited by 0
- 2026Tractable Reinforcement Learning for Full Class of Signal Temporal Logic Specifications Using Spatiotemporal Tube Rewardcited by 0
- 2026Tractable Reinforcement Learning for Full Class of Signal Temporal Logic Specifications Using Spatiotemporal Tube Reward23 Sep 2026
- 2026Reward Machines for Signal Temporal Logic13 Aug 2026
- 2026Multi-Agent Planning with Spatio-Temporal and Topological Constraints using STL-GO29 Jul 2026
- 2022Funnel-based Reward Shaping for Signal Temporal Logic Tasks in Reinforcement Learning30 Nov 2022