Time‐varying anti‐disturbance formation control for high‐order non‐linear multi‐agent systems with switching directed topologies

Dong, Chaoyang; Zhang, Wenqiang; Wang, Qing; Liu, Yuang

doi:10.1049/iet-cta.2019.0014

Cited by 17 publications

(18 citation statements)

References 41 publications

(66 reference statements)

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“…process control [18], [19], [20]. The disturbance rejection in these applications, appeared as disturbance suppression, external disturbance, output regulation or antidisturbance, is essentially an approach for estimating the disturbance [21], [22], [23], [24], [25]. This approach presents a requirement that has a capacity to cancel the disturbance according to remodeling the output or state measurements as a new control input [13], [20].…”

Section: Introductionmentioning

confidence: 99%

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Consensus Disturbance Rejection of Linear Discrete-Time Multi-Agent Systems With Communication Noises

Jia

Wang

2023

IEEE Access

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This paper studies consensus disturbance rejection problem of discrete-time multi-agent systems with communication noises. The involved agents are modeled by linear dynamics with disturbance, and are assumed to receive information corrupted by additive communication noises receiving from their neighbours. The control aim, not only is to guarantee the average state of the agents that is subject to deterministic disturbance, but also is to exclude the communication noises. In order to achieve this control aim, some disturbance observers are designed under two kinds of stochastic-approximation type control gains. By utilizing the martingale convergence theorem and some mathematical techniques, two sufficient conditions are obtained to ensure consensus and disturbance rejection in mean square. Finally, a numerical example is given to show the applicability of considered methods.

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Section: Introductionmentioning

confidence: 99%

“…In [21], mismatched disturbance has been introduced into output consensus problem of higher-order multi-agent systems. Then, some works have considered the disturbance rejection into some practical problems, such as formation control [25], [26].…”

Section: Introductionmentioning

confidence: 99%

Consensus Disturbance Rejection of Linear Discrete-Time Multi-Agent Systems With Communication Noises

Jia

Wang

2023

IEEE Access

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“…In this light, it is very interesting to notice that a set of PDUs and its controller in an MMD can be considered as an agent in a multi-agent system. The agents can work together to obtain disturbance rejection [13], distributed optimisation [14,15], failure diagnosis [16], or, in general, to reach an agreement on a particular quantity of interest [17]. A system of agents that interact locally to reach an agreement on the average value of their initial states by means of local computations only is solving the so-called static average consensus problem [18].…”

Section: Introductionmentioning

confidence: 99%

Multi‐agent control in modular motor drives by means of gossip consensus

Verkroost

Belie

Sergeant

et al. 2022

IET Electric Power Appl

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A modular motor drive (MMD) can be considered as a multi‐agent system, in which the agents work together to reach a common goal. One agent in such an MMD comprises only a subset of the concentrated windings and power electronic converter modules and is equipped with an independent controller. The goal of this research is to let the agents cooperate to distribute a torque demand among them in a completely decentralised way, in order to comply with the flexibility and reliability of modular motor drives. However, the current condition of each agent must still be taken into account during this torque allocation. To limit the communication load, only communication between neighbouring agents is allowed. The combination of a gossip consensus algorithm and multiple decentralised PI current controllers is used for this purpose. Simulations and experimental results on a modular axial‐flux permanent magnet synchronous machine consisting of five agents confirm that the total torque demand is delivered under the proposed control strategy, even during agent malfunctions, under random communication link failures and with non‐identical agents.

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“…But actually, it is inevitably confronted with external disturbances and noises during the application of MASs [25]. Consequently, stochastic dynamic models should be applied to describe MASs in formation control problem [26,27]. Regretfully, little research has been available on this significant issue.…”

Section: Introductionmentioning

confidence: 99%

Distributed cooperative formation of stochastic multi‐agent systems in finite horizon

Jun

Chen

Shen

et al. 2022

IET Control Theory & Appl

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The paper addresses the distributed cooperative formation control problem for a class of general stochastic multi-agent systems subject to time-varying dynamics. A type of novel modified distributed state observer is constructed, whose estimation information is used to design the H ∞ control scheme for guaranteeing the mean-square formation maintenance in finite-horizon. Furthermore, the observer and controller parameters are obtained iteratively through solving a set of constrained recursive matrix equations. Finally, the proposed scheme has been validated by a simulation study.

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Time‐varying anti‐disturbance formation control for high‐order non‐linear multi‐agent systems with switching directed topologies

Cited by 17 publications

References 41 publications

Consensus Disturbance Rejection of Linear Discrete-Time Multi-Agent Systems With Communication Noises

Consensus Disturbance Rejection of Linear Discrete-Time Multi-Agent Systems With Communication Noises

Multi‐agent control in modular motor drives by means of gossip consensus

Distributed cooperative formation of stochastic multi‐agent systems in finite horizon

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