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1
Published in 2022 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2022.3231970
Abstract: Model mismatches prevail in real-world applications. Ensuring safety for systems with uncertain dynamic models is critical. However, existing robust safe controllers may not be realizable when control limits exist. And existing methods use loose over-approximation…
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Keywords:
safety;
control;
control limits;
safe control ... See more keywords
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Published in 2024 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2024.3412943
Abstract: This letter proposes a framework to perform verifiably safe control of all discrete-time non-linear systems that are compatible with collected data. Most safety-maintaining control synthesis algorithms (e.g., control barrier functions, density functions) are limited to…
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Keywords:
discrete time;
time;
control;
safe control ... See more keywords
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2
Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3182544
Abstract: This paper considers safe control synthesis for dynamical systems with either probabilistic or worst-case uncertainty in both the dynamics model and the safety constraints. We formulate novel probabilistic and robust (worst-case) control Lyapunov function (CLF)…
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Keywords:
safe control;
worst case;
control;
control synthesis ... See more keywords
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Published in 2025 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2024.3466791
Abstract: In the control problems of multi-agent systems, collision avoidance is a fundamental safety requirement. One effective approach to ensure safety involves combining control barrier functions (CBFs) with quadratic programming (QP), where nominal control inputs are…
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Keywords:
agent systems;
framework;
control;
multi agent ... See more keywords