Cite this DOI

P Kowmudi, P Rajesh Naik, & K Tirupathi Rao (2020). Robust Finite-Time Consensus Tracking Algorithmfor Multirobot Systems. *Journal of Science & Technology*, *05*(06), 141–143. https://doi.org/10.46243/jst.2020.v5.i06.pp141-143

@article{pkowmudi2020robust,
  author    = {P Kowmudi and P Rajesh Naik and K Tirupathi Rao},
  title     = {{Robust Finite-Time Consensus Tracking Algorithmfor Multirobot Systems}},
  journal   = {Journal of Science \& Technology},
  year      = {2020},
  volume    = {05},
  number    = {06},
  pages     = {141--143},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2020.v5.i06.pp141-143},
  url       = {https://doi.org/10.46243/jst.2020.v5.i06.pp141-143},
  language  = {en},
  abstract  = {This paper studies the finite-time consensus track- ing control for multirobot systems. We prove that finite-time consensus tracking of multiagent systems can be achieved on the terminal sliding-mode surface. Also, we show that the proposed error function can be modified to achieve relative state devia- tion between agents. These results are then applied to the finite- time consensus tracking control of multirobot systems with in- put disturbances. Simulation results are presented to validate theanalysis. Index Terms—Finite-time consensus, multiagent systems, mul-tirobot systems, terminal sliding-mode (TSM) control.}
}

TY  - JOUR
TI  - Robust Finite-Time Consensus Tracking Algorithmfor Multirobot Systems
AU  - P Kowmudi
AU  - P Rajesh Naik
AU  - K Tirupathi Rao
JO  - Journal of Science & Technology
PY  - 2020
DA  - 2020///
VL  - 05
IS  - 06
SP  - 141
EP  - 143
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - This paper studies the finite-time consensus track- ing control for multirobot systems. We prove that finite-time consensus tracking of multiagent systems can be achieved on the terminal sliding-mode surface. Also, we show that the proposed error function can be modified to achieve relative state devia- tion between agents. These results are then applied to the finite- time consensus tracking control of multirobot systems with in- put disturbances. Simulation results are presented to validate theanalysis. Index Terms—Finite-time consensus, multiagent systems, mul-tirobot systems, terminal sliding-mode (TSM) control.
DO  - 10.46243/jst.2020.v5.i06.pp141-143
UR  - https://doi.org/10.46243/jst.2020.v5.i06.pp141-143
ER  -

{
    "type": "article-journal",
    "id": "10.46243/jst.2020.v5.i06.pp141-143",
    "DOI": "10.46243/jst.2020.v5.i06.pp141-143",
    "URL": "https://doi.org/10.46243/jst.2020.v5.i06.pp141-143",
    "title": "Robust Finite-Time Consensus Tracking Algorithmfor Multirobot Systems",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
    "author": [
        {
            "family": "P Kowmudi"
        },
        {
            "family": "P Rajesh Naik"
        },
        {
            "family": "K Tirupathi Rao"
        }
    ],
    "issued": {
        "date-parts": [
            [
                2020
            ]
        ]
    },
    "volume": "05",
    "issue": "06",
    "page": "141-143",
    "publisher": "Longman Publishers",
    "language": "en",
    "abstract": "This paper studies the finite-time consensus track- ing control for multirobot systems. We prove that finite-time consensus tracking of multiagent systems can be achieved on the terminal sliding-mode surface. Also, we show that the proposed error function can be modified to achieve relative state devia- tion between agents. These results are then applied to the finite- time consensus tracking control of multirobot systems with in- put disturbances. Simulation results are presented to validate theanalysis. Index Terms—Finite-time consensus, multiagent systems, mul-tirobot systems, terminal sliding-mode (TSM) control.",
    "ISSN": "2456-5660"
}

From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2020.v5.i06.pp141-143 gives all four in one JSON answer.