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Wyświetlanie 1-4 z 4
Tytuł:
Event-triggered cooperative control for high-order nonlinear multi-agent systems with finite-time consensus
Autorzy:
Gong, Shiyin
Zheng, Meirong
Hu, Jing
Zhang, Anguo
Powiązania:
https://bibliotekanauki.pl/articles/24200691.pdf
Data publikacji:
2023
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
multiagent system
cooperative control
event triggered control
neuroadaptive control
prescribed performance
system wieloagentowy
sterowanie wyzwalane zdarzeniami
sterowanie neuroadaptacyjne
Opis:
An event-triggered adaptive control algorithm is proposed for cooperative tracking control of high-order nonlinear multiagent systems (MASs) with prescribed performance and full-state constraints. The algorithm combines dynamic surface technology and the backstepping recursive design method, with radial basis function neural networks (RBFNNs) used to approximate the unknown nonlinearity. The barrier Lyapunov function and finite-time stability theory are employed to prove that all agent states are semi-globally uniform and ultimately bounded, with the tracking error converging to a bounded neighborhood of zero in a finite time. Numerical simulations are provided to demonstrate the effectiveness of the proposed control scheme.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2023, 33, 3; 439--448
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Neuro-adaptive cooperative control for high-order nonlinear multi-agent systems with uncertainties
Autorzy:
Peng, Cheng
Zhang, Anguo
Li, Junyu
Powiązania:
https://bibliotekanauki.pl/articles/2055174.pdf
Data publikacji:
2021
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
multiagent system
radial basis function
RBF neural network
sliding mode control
cooperative control
system wieloagentowy
radialna funkcja bazowa
sieć neuronowa RBF
sterowanie ślizgowe
Opis:
The consensus problem for a class of high-order nonlinear multi-agent systems (MASs) with external disturbance and system uncertainty is studied. We design an online-update radial basis function (RBF) neural network based distributed adaptive control protocol, where the sliding model control method is also applied to eliminate the influence of the external disturbance and system uncertainty. System consensus is verified by using the Lyapunov stability theorem, and sufficient conditions for cooperative uniform ultimately boundedness (CUUB) are also derived. Two simulation examples demonstrate the effectiveness of the proposed method for both homogeneous and heterogeneous MASs.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2021, 31, 4; 635--645
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Decentralized multi-agent formation control with pole-region placement via cone-complementarity linearization
Autorzy:
González, Antonio
Sala, Antonio
Armesto, Leopoldo
Powiązania:
https://bibliotekanauki.pl/articles/2172117.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
multiagent autonomous system
formation control
linear matrix inequalities
cone complementarity linearization
system wieloagentowy
sterowanie formacją
liniowe nierówności macierzowe
Opis:
An output-feedback decentralised formation control strategy is pursued under pole-region constraints, assuming that the agents have access to relative position measurements with respect to a set of neighbors in a graph describing the sensing topology. No communication between the agents is assumed; however, a shared one-way communication channel with a pilot is needed for steering tasks. Each agent has a separate copy of the same controller. A virtual structure approach is presented for the formation steering as a whole; actual formation control is established via cone-complementarity linearization algorithms for the appropriate matrix inequalities. In contrast to other research where only stable consensus is pursued, the proposed method allows us to specify settling-time, damping and bandwidth limitations via pole regions. In addition, a full methodology for the decoupled handling of steering and formation control is provided. Simulation results in the example section illustrate the approach.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2022, 32, 3; 415--428
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Distributed fault estimation of multi-agent systems using a proportional-integral observer: A leader-following application
Autorzy:
Farrera, Beltrán
López-Estrada, Francisco-Ronay
Chadli, Mohammed
Valencia-Palomo, Guillermo
Gómez-Peñate, Samuel
Powiązania:
https://bibliotekanauki.pl/articles/330554.pdf
Data publikacji:
2020
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
multiagent systems
fault estimation
state observer
fault observer
linear matrix inequalities
system wieloagentowy
estymacja błędu
obserwator stanu
liniowe nierówności macierzowe
Opis:
This paper proposes a methodology for observer-based fault estimation of leader-following linear multi-agent systems subject to actuator faults. First, a proportional-integral distributed fault estimation observer is developed to estimate both actuator faults and states of each follower agent by considering directed and undirected graph topologies. Second, based on the proposed quadratic Lyapunov equation, sufficient conditions for the asymptotic convergence of the observer are obtained as a set of linear matrix inequalities. Finally, a numerical example is provided to illustrate the proposed approach.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2020, 30, 3; 551-560
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

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