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    Wyświetlanie 1-5 z 5
    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:
    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:
    A hybrid mathematical model for an optimal border closure policy during a pandemic
    Autorzy:
    Lazebnik, Teddy
    Shami, Labib
    Bunimovich-Mendrazitsky, Svetlana
    Powiązania:
    https://bibliotekanauki.pl/articles/24336021.pdf
    Data publikacji:
    2023
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    health care
    spatio temporal SIR model
    international biotourism policy
    multiagent reinforcement learning
    opieka zdrowotna
    polityka bioturystyczna
    uczenie ze wzmocnieniem
    Opis:
    During a global health crisis, a country’s borders are a weak point through which carriers from countries with high morbidity rates can enter, endangering the health of the local community and undermining the authorities’ efforts to prevent the spread of the pathogen. Therefore, most countries have adopted some level of border closure policies as one of the first steps in handling pandemics. However, this step involves a significant economic loss, especially for countries that rely on tourism as a source of income. We developed a pioneering model to help decision-makers determine the optimal border closure policies during a health crisis that minimize the magnitude of the outbreak and maximize the revenue of the tourism industry. This approach is based on a hybrid mathematical model that consists of an epidemiological sub-model with tourism and a pandemic-focused economic sub-model, which relies on elements from the field of artificial intelligence to provide policymakers with a data-driven model for a border closure strategy for tourism during a global pandemic.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2023, 33, 4; 583--601
    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
    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
      Wyświetlanie 1-5 z 5

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