Distributed consensus protocol for leader-following multi-agent systems with functional observers

Gao, Lixin; Cui, Yuqing; Xu, Xiaole; Zhao, Yuge

doi:10.1016/j.jfranklin.2015.08.023

Cited by 27 publications

(14 citation statements)

References 29 publications

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“…Our most immediate upcoming plans include developing the ideas of the paper to the level capable to make contributions in local stability of switched genetic regulatory networks [29,26]) and multi-agent systems [9,20].…”

Section: Resultsmentioning

confidence: 99%

Dwell time for local stability of switched affine systems with application to non-spiking neuron models

Makarenkov

Phung

2018

Applied Mathematics Letters

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Section: Resultsmentioning

confidence: 99%

Dwell time for local stability of switched affine systems with application to non-spiking neuron models

Makarenkov

Phung

2018

Applied Mathematics Letters

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“…Remark 3: To date, the literature has included a few works concerned with the observer-based consensus analysis of various kinds of MASs [20], [31]- [33]. In all these works, the effect of actuator faults, which cannot be ignored when designing a robust controller [50], has not been considered.…”

Section: Remarkmentioning

confidence: 99%

“…Additionally, a novel distributed consensus algorithm for both discrete and continuous-time MASs was developed in [32] under the observer framework. Recently, by employing the concepts from system control theory and algebraic graph theory, the consensus issue of general linear MASs was solved in [33] by using the leader-follower framework, where two different functional observers are adopted in distributed consensus protocols to estimate the unknown inputs. However, to date, very few results have been published regarding the issue of the leader-following consensus design for MASs through the observer approach, which is the main motivation of this paper.…”

mentioning

confidence: 99%

Observer and Stochastic Faulty Actuator-Based Reliable Consensus Protocol for Multiagent System

Sakthivel

Kaviarasan

Ahn

et al. 2018

IEEE Trans. Syst. Man Cybern, Syst.

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A nondeterministic actuator fault model-based reliable control design method is presented for the leader-following consensus of a multiagent system (MAS) subject to input time-varying delay and the nonlinear phenomenon through the observer framework. Notably, a more generalized practical actuator fault model is proposed where the faults of each actuator are assumed to occur randomly and the fault rates are characterized by stochastic variables that satisfy certain probability conditions. To trace the leader dynamics, a reliable observer-based state feedback consensus algorithm is developed for the pursuing agents. After that, in light of graph theory and the Lyapunov-Krasovskii stability theorem, the required conditions are achieved to guarantee the leader-following consensus of the considered MAS, and then the corresponding reliable controller design method is proposed. Furthermore, simulations are eventually conducted to exhibit the efficiency of the newly developed control scheme, where it is shown that the obtained conditions guarantee the consensus of the considered MAS in the case of possible actuator faults

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“…In [8], the parallel Luenberger observers are designed for each node, with an identical neighbourhood interconnection structure as that of the original network, and then observer based control laws have been devised to achieve consensus. In [9], the 1466 P. P. MENON, C. EDWARDS AND Y. B. SHTESSEL leader-follower consensus problem is addressed using functional observers to estimate the states of neighbourhood agents from only the output information of the neighbourhood agents (where the dynamics of the agents is assumed to be linear).…”

Section: Introductionmentioning

confidence: 99%

“…In [23] the leader-follower consensus problem is addressed using functional observers to estimate the states of neighbourhood agents from only the output information of the neighbourhood agents (where the dynamics of the agents is assumed to be linear). A cooperative fault accommodation framework is proposed in [3] which makes use of relative state measurements, and is extended to the general case of formation flying of vehicles in a planetary orbital environment with absolute measurements in [4].…”

mentioning

confidence: 99%

Adaptive sliding mode observation in a network of dynamical systems

Menon

Edwards

Shtessel

2016

Adaptive Control & Signal

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SUMMARYThis paper considers the problem of reconstructing state information in all the nodes of a complex network of dynamical systems. The individual nodes comprise a known linear part and unknown but bounded uncertainties in certain channels of the system. A supervisory adaptive sliding mode observer configuration is proposed for estimating the states. A linear matrix inequality (LMI) approach is suggested to synthesise the gains of the sliding mode observer. Although deployed centrally to estimate all the states of the complex network, the design process depends only on the dynamics of an individual node of the network. The methodology is demonstrated by considering a network of Chua oscillators.

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Distributed consensus protocol for leader-following multi-agent systems with functional observers

Cited by 27 publications

References 29 publications

Dwell time for local stability of switched affine systems with application to non-spiking neuron models

Dwell time for local stability of switched affine systems with application to non-spiking neuron models

Observer and Stochastic Faulty Actuator-Based Reliable Consensus Protocol for Multiagent System

Adaptive sliding mode observation in a network of dynamical systems

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