Leader-following consensus of multi-agent systems under fixed and switching topologies

Ni, Wei; Cheng, Daizhan

doi:10.1016/j.sysconle.2010.01.006

Cited by 1,259 publications

(689 citation statements)

References 31 publications

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“…We assume that there exists a constant number τ > 0, often called dwell time, such that t l+1 (Ni and Cheng, 2010). Define C (p) = {k|λ k p ̸ = 0, k = 1, 2, · · · , N }, we have the following Lemma (Ni and Cheng, 2010):…”

Section: Decentralized Adaptive Consensus Algorithm Designmentioning

confidence: 99%

“…The matrix H σ(t) corresponding to a graphḠ σ(t) , has the following well-known properties (Ni and Cheng, 2010):…”

Section: Stability Analysismentioning

confidence: 99%

“…The consensus stability proof of Theorem 9, which uses some inequality techniques, Lemma 4 and Barbalat's Lemma, is motivated by that in Ni and Cheng (2010). The Lemma 4 from Ni and Cheng (2010) …”

Section: Remark 11mentioning

confidence: 99%

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Adaptive consensus of multi-agents in networks with jointly connected topologies

2012

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In this paper, the consensus problem of multi-agent following a leader is studied. An adaptive design method is presented for multi-agent systems with non-identical unknown nonlinear dynamics, and for a leader to be followed that is also nonlinear and unknown. By parameterizations of unknown nonlinear dynamics of all agents, a decentralized adaptive consensus algorithm is proposed in networks with jointly connected topologies by incorporating local consensus errors in addition to relative position feedback. Analysis of stability and parameter convergence of the proposed algorithm are conducted based on algebraic graph theory and Lyapunov theory. Finally, examples are provided to validate the theoretical results.

show abstract

Section: Decentralized Adaptive Consensus Algorithm Designmentioning

confidence: 99%

“…The matrix H σ(t) corresponding to a graphḠ σ(t) , has the following well-known properties (Ni and Cheng, 2010):…”

Section: Stability Analysismentioning

confidence: 99%

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Adaptive consensus of multi-agents in networks with jointly connected topologies

2012

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“…Consensus problem with fixed and switching topologies with linear dynamics are addressed in [3]. In [4], Mahmoud address the consensus problem of fixed and switching topologies with disturbances by designing the output feedback controller.…”

Section: Introductionmentioning

confidence: 99%

Discrete Time Consensus of Leader Following BLDC Motor with Delay

Masroor¹,

Chen²,

Ali³

et al. 2016

IJMO

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Abstract-In this paper, we address the leader following consensus of BLDC motor by considering the effect of delay in the network. Since BLDC motors are used in a variety of application such as Automobiles, Servo drives, UAV's, Aeronautics and other areas requiring higher efficiency and ease of control, therefore we think it is necessary to study the behavior of motor from the Multi-Agent point of view. We use RST pole placement control approach to design a system that controls the speed of BLDC motor and then elaborates the system from Multi-Agent prospective for consensus on speed by considering the effect of network delay. We assume that each agent communicates its data with neighbor via delay in a communication network. We use MATLAB Simulink to simulate the proposed model and results endorse the success of our approach.

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“…In [2], consensus problem for fixed and switching topologies leader-following higher order MAS having linear dynamics is considered using local information. Algebraic graph theory, Riccati and Lyapunov inequalities are used for system design.…”

Section: Introductionmentioning

confidence: 99%

Leader Following Consensus of BLDC Motor Speed with Sampling Intervals

Masroor¹,

Chen²,

Ali³

et al. 2016

IJMO

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Abstract-Permanent Magnet Brushless DC (BLDC) motors have set up diverse uses in industry owing to simple construction, higher efficiency, power density, ease of control as well as enormous torque-to-inertia ratio. Electric Automobiles, Servo Machines (Drives), Aeronautics, Military UAV and inland usages are foremost industrial zone that uses BLDC motors. In this paper, a leader following consensus protocol on sensorless BLDC motor to control the speed using RST pole placement controller is presented. The proposed system model and stimulation is carried out on MATLAB. Simulation results validates the proposed system. Index Terms-Multi-agent system, consensus algorithm, brushless DC motor, RST controller.

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Leader-following consensus of multi-agent systems under fixed and switching topologies

Cited by 1,259 publications

References 31 publications

Adaptive consensus of multi-agents in networks with jointly connected topologies

Adaptive consensus of multi-agents in networks with jointly connected topologies

Discrete Time Consensus of Leader Following BLDC Motor with Delay

Leader Following Consensus of BLDC Motor Speed with Sampling Intervals

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