Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Narendra Kumar Dhar"'
Publikováno v:
Advanced Robotics. 37:115-129
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f91eeebc0bd53257cdcc40702a857f08
https://doi.org/10.1080/01691864.2022.2155489
https://doi.org/10.1080/01691864.2022.2155489
Publikováno v:
IEEE Systems Journal. 16:6074-6085
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ea42422b89be47dffdda206de1b76ba
https://doi.org/10.1109/jsyst.2021.3137363
https://doi.org/10.1109/jsyst.2021.3137363
Publikováno v:
IEEE Transactions on Control of Network Systems. 9:966-978
This paper presents a novel stochastic event-based super-twisting controller design for addressing the formation control problem in networked multi-agent system in the presence of external disturbance. The stochasticity in the system is introduced by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4aa6cfdb1b6f7e2422cc483fb9650438
https://doi.org/10.1109/tcns.2021.3089142
https://doi.org/10.1109/tcns.2021.3089142
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 33:1765-1778
This article proposes an online stochastic dynamic event-based near-optimal controller for formation in the networked multirobot system. The system is prone to network uncertainties, such as packet loss and transmission delay, that introduce stochast
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb6544b35b0be10f85431689988306ef
https://doi.org/10.1109/tnnls.2020.3044039
https://doi.org/10.1109/tnnls.2020.3044039
Publikováno v:
IEEE Transactions on Cybernetics. 51:2042-2054
In this paper, a novel robust adaptive barrier Lyapunov function (BLF)-based backstepping controller has been proposed for a class of interconnected, multi-input-multi-output (MIMO) unknown nonaffine nonlinear systems with asymmetric time-varying (AT
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6d9a8ece71fd98830e9f3bd4662c271
https://doi.org/10.1109/tcyb.2019.2923849
https://doi.org/10.1109/tcyb.2019.2923849
Publikováno v:
IEEE Systems Journal. 15:780-790
This article addresses the problem of event-based consensus in a leader–follower multiagent system framework prone to external bounded disturbance. The proposed approach has three parts. The first part defines a novel measurement error based on sli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e0257fc54ec22033b07071d1054816d
https://doi.org/10.1109/jsyst.2020.2979271
https://doi.org/10.1109/jsyst.2020.2979271
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-14
In this article, we propose a novel stochastic event-driven near-optimal sliding-mode controller design for addressing the consensus of a multiagent system in a network. The system is prone to external disturbances and network uncertainties, such as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f473c3c902a950e08eea6f5b9288a51
https://doi.org/10.1109/tnnls.2021.3135952
https://doi.org/10.1109/tnnls.2021.3135952
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 31:5534-5548
This article proposes a real-time event-triggered near-optimal controller for the nonlinear discrete-time interconnected system. The interconnected system has a number of subsystems/agents, which pose a nonzero-sum game scenario. The control inputs/p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::940f16bc4a486f7d920133582ef8adf6
https://doi.org/10.1109/tnnls.2020.2969249
https://doi.org/10.1109/tnnls.2020.2969249
Publikováno v:
IEEE/CAA Journal of Automatica Sinica. 7:307-314
In this paper, an event-triggered sliding mode control approach for trajectory tracking problem of nonlinear input affine system with disturbance has been proposed. A second order robotic manipulator system has been modeled into a general nonlinear i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c667894d9849354ffa987b294a5fb29
https://doi.org/10.1109/jas.2019.1911654
https://doi.org/10.1109/jas.2019.1911654
Publikováno v:
IEEE Transactions on Emerging Topics in Computational Intelligence. 3:322-336
This paper proposes a cyber-physical framework for vision-based automated vehicle path tracking. The framework has been developed in two parts: first, an intelligent relative vehicle displacement approach with an adaptive neural network controller; a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::551b236c2513a1c5f2843c7a8b62ada8
https://doi.org/10.1109/tetci.2018.2865205
https://doi.org/10.1109/tetci.2018.2865205