Tracking control for multi-agent consensus for discrete-time case

Wang, Fang; Gao, Lixin; Wang, Liyong

doi:10.1109/ccdc.2011.5968315

Cited by 3 publications

(4 citation statements)

References 16 publications

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“…In this work, an observer based on sliding modes techniques, to observe the velocity and acceleration of each agent using only the output of its neighbors is also developed. The observer presents a significant improvement over traditional methods ([7], [15]). …”

Section: Introductionmentioning

confidence: 99%

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Formation and trajectory tracking of discrete-time multi-agent systems using block control

Lopez-Limon

Ruiz-León

Cervantes-Herrera

et al. 2013

2013 IEEE 18th Conference on Emerging Technologies &Amp; Factory Automation (ETFA)

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The design of a decentralized discrete-time block control scheme, for a multi-agent system with a fixed topology, to achieve formation and trajectory tracking is proposed in this work. Each agent dynamics is represented either by a first-order or second-order discrete-time system, only the position of each agent's neighbors is measured and their velocity and acceleration are unknown, and exclusively the agents that are connected to the virtual agent have full information of the reference. Each agent is provided with discrete-time state observers for the velocity and acceleration of its neighbors. It is proved that formation and trajectory tracking can be achieved applying the proposed block control with a consensus scheme. The stability of the controlled system with the state observer is proved.

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Section: Introductionmentioning

confidence: 99%

“…In [15], a neighbor-based local control law and a stateobserver rule for discrete-time autonomous agents are presented. In that work, however, the acceleration is supposed to be known and it is focused on first-order agent dynamics.…”

Section: Introductionmentioning

confidence: 99%

Formation and trajectory tracking of discrete-time multi-agent systems using block control

Lopez-Limon

Ruiz-León

Cervantes-Herrera

et al. 2013

2013 IEEE 18th Conference on Emerging Technologies &Amp; Factory Automation (ETFA)

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show abstract

“…In [11], Wang studies tracking control of a discrete time leader-following consensus of group of agents under fixed and switching topology. Since active leader's velocity is assumed to be unknown, a neighbor's information and state estimation rule is used for each agent to track the leader.…”

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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“…In [5], a consensus problem of discrete time tracking of agents with fixed and switching topologies are studied such that leader velocity is unknown and to track the leader, follower's uses neighbors information and state estimation rule. For single and double integrator dynamics, tracking problem is addressed with situation of communication failure in [6], deriving a sufficiency condition under fixed topology thereby decreasing the tracking error.…”

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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Tracking control for multi-agent consensus for discrete-time case

Cited by 3 publications

References 16 publications

Formation and trajectory tracking of discrete-time multi-agent systems using block control

Formation and trajectory tracking of discrete-time multi-agent systems using block control

Leader Following Consensus of BLDC Motor Speed with Sampling Intervals

Discrete Time Consensus of Leader Following BLDC Motor with Delay

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