Distributed event-triggered formation control for multi-agent systems in presence of packet losses

Viel, Christophe; Kieffer, Michel; Piet-Lahanier, Hélène; Bertrand, Sylvain

doi:10.1016/j.automatica.2022.110215

Cited by 16 publications

(1 citation statement)

References 25 publications

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“…Communication networks are used in several kinds of automated systems such as in network control systems (NCSs) for transferring data between the system components (Itahara et al, 2022; Viel et al, 2022; Zhang et al, 2017). Due to the utilisation of communication networks, signal transmission in NCSs is faced with effects such as packet loss and communication delay.…”

Section: Introductionmentioning

confidence: 99%

System identification in presence of undetectable packet losses in the actuation path

Mohammadzadeh,

Tavassoli

2023

Transactions of the Institute of Measurement and Control

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Identification of networked systems over communication links with packet losses is considered. It is assumed that there is no connection from the actuators to the system identifier such that no information is available on loss of data packets carrying the actuation signals. While the packet loss occurrences in the sensor links are naturally detectable by the system identifier as the receiving node, the packet loss occurrences in the actuation paths are not directly detectable. The existing system identification methods fail to be applicable without the information on packet loss occurrences. Presenting a solution for this issue is the objective of the present work. Two recursive algorithms are proposed to solve the problem in real time. For this purpose, ARMAX input–output representations of the system with Markovian jumping modes are developed. Then, filters are designed for estimation of the packet loss occurrences. The estimated mode is used in the recursive algorithms for identification of the whole system based on the maximum likelihood approach. A main algorithm and its simplified version are proposed that are capable of finding the various kinds of system parameters including the physical plant parameters and the communication mode transition probabilities. Effectiveness of the algorithms is verified through simulation examples where the system performance is evaluated and compared.

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Section: Introductionmentioning

confidence: 99%

System identification in presence of undetectable packet losses in the actuation path

Mohammadzadeh,

Tavassoli

2023

Transactions of the Institute of Measurement and Control

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Optimal output feedback control for networked control systems with dual multi‐memoryless channels

Li,

Han,

Wang

et al. 2024

Intl J Robust & Nonlinear

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This paper delves into the output feedback control of systems with dual multi‐memoryless channels, where the data packets transmitted from the sensor to the controller (S/C) and from the controller to the actuator (C/A) are suffered from two different multi‐parallel Markovian fading channels. Two new multi‐state Markovian chains are introduced, by which the multiple fading channels system is transformed into a new jumping parameter system. Then a stochastic maximum principle is given along with an optimal state feedback controller for the case that the state is known. When the state is unknown, a Markov jump linear estimator is designed by using the completing square method. In this case, an output feedback controller is obtained by substituting the real system state with its estimation. Meanwhile, the separation principle is shown. Finally, the validity of these methods is verified by simulation examples.

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Weighted formation control for a swarm of robots with coexisting cooperation and competition interactions

Wang,

Li,

Liu

et al. 2023

Nonlinear Dyn

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Distributed event-triggered formation control for multi-agent systems in presence of packet losses

Cited by 16 publications

References 25 publications

System identification in presence of undetectable packet losses in the actuation path

System identification in presence of undetectable packet losses in the actuation path

Optimal output feedback control for networked control systems with dual multi‐memoryless channels

Weighted formation control for a swarm of robots with coexisting cooperation and competition interactions

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