Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Bahare Kiumarsi"'
Publikováno v:
IEEE Open Journal of Control Systems, Vol 3, Pp 282-294 (2024)
This paper presents a fully risk-aware model predictive control (MPC) framework for chance-constrained discrete-time linear control systems with process noise. Conditional value-at-risk (CVaR) as a popular coherent risk measure is incorporated in bot
Externí odkaz:
https://doaj.org/article/1bae460e39b5449aa286b693ece454c2
Autor:
Marjan Khaledi, Bahare Kiumarsi
Publikováno v:
IEEE Open Journal of Control Systems, Vol 3, Pp 118-127 (2024)
This article presents a proactive approach to resolving the conflict between safety and optimality for continuous-time (CT) safety-critical systems with unknown dynamics. The presented method guarantees safety and performance specifications by combin
Externí odkaz:
https://doaj.org/article/c7a8a7d1b4d74a1982923c2c7350c56e
Autor:
Zahra Marvi, Bahare Kiumarsi
Publikováno v:
IEEE Open Journal of Control Systems, Vol 1, Pp 322-334 (2022)
The satisfaction of the safety and stability properties of reinforcement learning (RL) algorithms has been a long-standing challenge. These properties must be satisfied even during learning, for which exploration is required to collect rich data. How
Externí odkaz:
https://doaj.org/article/b43d2909d637438d8002fa0841545e4d
Publikováno v:
IEEE Transactions on Automatic Control. 67:6187-6194
This paper develops a distributed solution to the fully-heterogeneous containment control problem (CCP), for which not only the followers' dynamics but also the leaders' dynamics are non-identical. A novel formulation of the fully-heterogeneous CCP i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48cca1fffb49ff8b7eb438db284962a0
https://doi.org/10.1109/tac.2021.3130878
https://doi.org/10.1109/tac.2021.3130878
Publikováno v:
Unmanned Systems. 11:17-26
This paper briefly reviews the dynamics and the control architectures of unmanned vehicles; reinforcement learning (RL) in optimal control theory; and RL-based applications in unmanned vehicles. Nonlinearities and uncertainties in the dynamics of unm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57c5d6a873b21dba809822c9f4f837f0
https://doi.org/10.1142/s2301385023310027
https://doi.org/10.1142/s2301385023310027
Autor:
Zahra Marvi, Bahare Kiumarsi
Publikováno v:
IEEE/CAA Journal of Automatica Sinica. 9:437-449
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0360cf2a92ce84f136903cec364cead
https://doi.org/10.1109/jas.2021.1004347
https://doi.org/10.1109/jas.2021.1004347
Autor:
Pouria Tooranjipour, Bahare Kiumarsi
Publikováno v:
IEEE Control Systems Letters. 6:2990-2995
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4cf146c69f7a02be6d4f77e1afb0d0e2
https://doi.org/10.1109/lcsys.2022.3182279
https://doi.org/10.1109/lcsys.2022.3182279
Autor:
Zahra Marvi, Bahare Kiumarsi
Publikováno v:
International Journal of Robust and Nonlinear Control. 32:1721-1737
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c7189c6566f6bb614443b4648b0a01c
https://doi.org/10.1002/rnc.5914
https://doi.org/10.1002/rnc.5914
Publikováno v:
2022 58th Annual Allerton Conference on Communication, Control, and Computing (Allerton).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c591b4822e6430ed3b17bc82069d9d8b
https://doi.org/10.1109/allerton49937.2022.9929371
https://doi.org/10.1109/allerton49937.2022.9929371
Publikováno v:
Information Sciences. 558:194-207
In this paper, a distributed model-free solution based on reinforcement learning is proposed for the leader–follower formation control problem of heterogeneous multi-agent systems. The multi-agent system consists of multiple rotorcrafts involving a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34445eb4620f2204513edbd2d06bf261
https://doi.org/10.1016/j.ins.2021.01.011
https://doi.org/10.1016/j.ins.2021.01.011