Artikel mit Open-Access-Mandaten - Samuel CooganWeitere Informationen
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Robustly forward invariant sets for mixed-monotone systems
M Abate, S Coogan
IEEE Transactions on Automatic Control 67 (9), 4947-4954, 2022
Mandate: US Department of Defense
Verfügbar: 93
Synthesis of control barrier functions using a supervised machine learning approach
M Srinivasan, A Dabholkar, S Coogan, PA Vela
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
Mandate: US National Science Foundation, US Department of Defense
A barrier function approach to finite-time stochastic system verification and control
C Santoyo, M Dutreix, S Coogan
Automatica 125, 109439, 2021
Mandate: US National Science Foundation
Control of multi-agent systems with finite time control barrier certificates and temporal logic
M Srinivasan, S Coogan, M Egerstedt
2018 IEEE Conference on Decision and Control (CDC), 1991-1996, 2018
Mandate: US Department of Defense
Stability of traffic flow networks with a polytree topology
S Coogan, M Arcak
Automatica 66, 246-253, 2016
Mandate: US National Science Foundation
Mixed monotonicity for reachability and safety in dynamical systems
S Coogan
2020 59th IEEE Conference on Decision and Control (CDC), 5074-5085, 2020
Mandate: US National Science Foundation, US Department of Defense
Control of mobile robots using barrier functions under temporal logic specifications
M Srinivasan, S Coogan
IEEE Transactions on Robotics 37 (2), 363-374, 2020
Mandate: US National Science Foundation, US Department of Defense
Traffic predictive control from low-rank structure
S Coogan, C Flores, P Varaiya
Transportation Research Part B: Methodological 97, 1-22, 2017
Mandate: US National Science Foundation
Formal methods for control of traffic flow: Automated control synthesis from finite-state transition models
S Coogan, M Arcak, C Belta
IEEE Control Systems Magazine 37 (2), 109-128, 2017
Mandate: US National Science Foundation
A contractive approach to separable Lyapunov functions for monotone systems
S Coogan
Automatica 106, 349-357, 2019
Mandate: US Department of Defense
Routing for traffic networks with mixed autonomy
DA Lazar, S Coogan, R Pedarsani
IEEE Transactions on Automatic Control 66 (6), 2664-2676, 2020
Mandate: US National Science Foundation
Tight decomposition functions for continuous-time mixed-monotone systems with disturbances
M Abate, M Dutreix, S Coogan
IEEE Control Systems Letters 5 (1), 139-144, 2020
Mandate: US Department of Defense
Multi-agent task allocation using cross-entropy temporal logic optimization
C Banks, S Wilson, S Coogan, M Egerstedt
2020 IEEE International Conference on Robotics and Automation (ICRA), 7712-7718, 2020
Mandate: US National Science Foundation
Offset optimization in signalized traffic networks via semidefinite relaxation
S Coogan, E Kim, G Gomes, M Arcak, P Varaiya
Transportation Research Part B: Methodological 100, 82-92, 2017
Mandate: US National Science Foundation
Verification and control for finite-time safety of stochastic systems via barrier functions
C Santoyo, M Dutreix, S Coogan
2019 IEEE conference on control technology and applications (CCTA), 712-717, 2019
Mandate: US National Science Foundation
Characterizing safety: Minimal control barrier functions from scalar comparison systems
R Konda, AD Ames, S Coogan
IEEE Control Systems Letters 5 (2), 523-528, 2020
Mandate: US National Science Foundation
Computing robustly forward invariant sets for mixed-monotone systems
M Abate, S Coogan
2020 59th IEEE Conference on Decision and Control (CDC), 4553-4559, 2020
Mandate: US National Science Foundation, US Department of Defense
Management of intersections with multi-modal high-resolution data
A Muralidharan, S Coogan, C Flores, P Varaiya
Transportation research part C: emerging technologies 68, 101-112, 2016
Mandate: US National Science Foundation
Specification-guided verification and abstraction refinement of mixed monotone stochastic systems
M Dutreix, S Coogan
IEEE Transactions on Automatic Control 66 (7), 2975-2990, 2020
Mandate: US National Science Foundation
Abstraction-based synthesis for stochastic systems with omega-regular objectives
M Dutreix, J Huh, S Coogan
Nonlinear Analysis: Hybrid Systems 45, 101204, 2022
Mandate: US National Science Foundation, US Department of Defense
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