Containment control with multiple leaders for nonlinear multi-agent systems with unstabilizable linearizations
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Pages (from-to) | 43-50 |
Number of pages | 8 |
Journal / Publication | Neurocomputing |
Volume | 380 |
Online published | 4 Nov 2019 |
Publication status | Published - 7 Mar 2020 |
Link(s)
Abstract
In this paper, we study the distributed containment control problem with multiple leaders for nonlinear multi-agent systems (MASs) with unstabilizable linearizations under the directed topology. A novel distributed control design approach is developed to simultaneously deal with the unstabilizable linearizations and nonlinear interactions among agents. The designed controller can guarantee that the followers’ outputs will eventually converge to a limit point in the convex hull spanned by the leaders’ outputs while all the states of the closed-loop system remain bounded. Finally, a mechanical system example is presented to illustrate the effectiveness of the proposed control scheme.
Research Area(s)
- Containment control, Directed topology, Nonlinear systems
Citation Format(s)
Containment control with multiple leaders for nonlinear multi-agent systems with unstabilizable linearizations. / Li, Wuquan; Liu, Lu; Feng, Gang.
In: Neurocomputing, Vol. 380, 07.03.2020, p. 43-50.
In: Neurocomputing, Vol. 380, 07.03.2020, p. 43-50.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review