Consensus of high-order linear systems using dynamic output feedback compensator: Low gain approach
By J. Seo, H. Shim, J. Back. 2009
630 citations recorded by the source corpus.
Subfields: Computer Networks and Communications
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In Computer Networks and Communications
Citations in the corpus
- Global consensus for discrete-time multi-agent systems with input saturation constraints (2014, background): “…are identical) has been considered (e.g., Olfati-Saber and Murray, 2004; Ren and Beard, 2005; Xiao and Wang, 2008; Scardovi and Sepulchre, 2009; Seo, Shim, and Back, 2009; Shi and Hong, 2009; Li, Duan, Chen, and Huang, 2010; Li, Du, and Lin, 2011a; Yu, Chen, and Cao, 2010; Yang, Roy, Wan, and…”
- Consensus of high-order multi-agent systems with large input and communication delays (2014, methodology): “First, to ensure that the consensus value reached by the agents will not tend to infinity exponentially, namely, the reference trajectory s(t) defined in Remark 1 is not exponentially diverging, the matrix A should not contain eigenvalues in the open right-half plane (Li, Duan, Chen, & Huang, 2010; ”
- Multi‐surface sliding control for fast finite‐time leader–follower consensus with high order SISO uncertain nonlinear agents (2014, background): “The recent work by [20] discussed conditions for linear systems to achieve asymptotic consensus by output feedback.”
- A new observer-type consensus protocol for linear multi-agent dynamical systems (2011, background): “In [28], the consensus problem in continuous-time linear multi-agent systems was studied from a low-gain approach.”
- Optimal Design for Synchronization of Cooperative Systems: State Feedback, Observer and Output Feedback (2011, methodology): “Remark 1: In literature of leaderless consensus, e.g., , , it is often required that all eigenvalues of sit in the closed left-half complex plane [15], [ 16 ].”
- Output Consensus of Heterogeneous Uncertain Linear Multi-Agent Systems (2011, background): “For a decade, the consensus problem is actively studied due to its numerous applications such as cooperative control of unmanned aerial vehicles, communication among sensor networks, and formation of mobile robots (see [2], [3], [8]–[12], [14] and the references therein).”
- Semi-Global Leader-Following Consensus of Linear Multi-Agent Systems With Input Saturation via Low Gain Feedback (2013, result): “In contrast to the known results on the consensus of linear multi-agent systems in [31], [33]–[38] and the consensus with input saturation in [27], [42]–[44], the proposed consensus algorithms are analyzed on both connected and jointly connected networks.”
- Distributed adaptive control for consensus tracking with application to formation control of nonholonomic mobile robots (2014, background): “Lemma 1 Based on Assumption 3, the matrix (L+ B) is nonsingular where B = diag{µ1, . . . , µN}.”
- Consensus of Multi-Agent Systems With General Linear and Lipschitz Nonlinear Dynamics Using Distributed Adaptive Protocols (2011, methodology): “However, contrary to this technical brief, output feedback controllers have been employed in [14], [16], [17].”