Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/88123
Title: Homogeneous finite-time consensus control for higher-order multi-agent systems by full order sliding mode
Authors: Mondal, Sanjoy
Ghommam, Jawhar
Saad, Maarouf
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Finite Time Control
Full Order Sliding Mode
Issue Date: 2018
Source: Mondal, S., Ghommam, J., & Saad, M. (2018). Homogeneous Finite-Time Consensus Control for Higher-Order Multi-Agent Systems by Full Order Sliding Mode. Journal of Systems Science and Complexity, 31(5), 1186-1205. doi:10.1007/s11424-018-6236-7
Series/Report no.: Journal of Systems Science and Complexity
Abstract: This paper investigates the distributed finite-time consensus tracking problem for higher-order nonlinear multi-agent systems (MASs). The distributed finite-time consensus protocol is based on full order sliding surface and super twisting algorithm. The nominal consensus control for the MASs is designed based on the geometric homogeneous finite time control technique. The chattering is avoided by designing a full order sliding surface. The switching control is constructed by integrating super twisting algorithm, hence a chattering alleviation protocol is obtained to maintain a smooth control input. The finite time convergence analysis for the leader follower network is presented by using strict Lyapunov function. Finally, the numerical simulations validate the proposed homogeneous full-order sliding mode control for higher-order MASs.
URI: https://hdl.handle.net/10356/88123
http://hdl.handle.net/10220/45654
ISSN: 1009-6124
DOI: http://dx.doi.org/10.1007/s11424-018-6236-7
Rights: © 2018 Institute of Systems Science, Academy of Mathematics and Systems Science, CAS and Springer-Verlag GmbH Germany, part of Springer Nature. This paper was published in Journal of Systems Science and Complexity and is made available as an electronic reprint (preprint) with permission of Institute of Systems Science, Academy of Mathematics and Systems Science, CAS and Springer-Verlag GmbH Germany, part of Springer Nature. The published version is available at: [http://dx.doi.org/10.1007/s11424-018-6236-7]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
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