Predictor-Based Fuzzy Adaptive Containment Control for Nonlinear Multiagent Systems With Actuator Nonlinearity and Unmeasurable States

Wang, Wei; Cao, Liang; Li, Tieshan; Liang, Hongjing; Sun, Fei

doi:10.1109/tfuzz.2021.3120206

Cited by 13 publications

(4 citation statements)

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“…The event-sampling error that observation of disturbance observers can be formulated as κi, q(t) = ĝi, q(t) − ǧi, q(t), t i, q ≤ t < t i, q+1 (16) where t i, q denotes the update time of the ET mechanism for the observations of disturbance observers.…”

Section: Compound Et Mechanismmentioning

confidence: 99%

“…For example, a predictor‐based state feedback control method was employed in Reference 15 to achieve consensus control objectives for MASs. In Reference 16, Wang et al solved the consensus control problem in nonlinear MASs subject to unknown external disturbances by using predictor techniques. However, the use of predictors may generate prediction errors and thus increase tracking errors, which are unavoidable.…”

Section: Introductionmentioning

confidence: 99%

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Detection‐based compound event‐triggered secure control for nonlinear multiagent systems

Zhu,

Cao,

Ren

et al. 2024

Intl J Robust & Nonlinear

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SummaryThis paper designs a distributed dynamic‐detection‐based event‐triggered control method to address the secure tracking control problem. A distributed online iterative dynamic detection mechanism is designed to detect denial‐of‐service (DoS) attacks. The detection results are transmitted into a proposed ET method to adjust the triggering threshold, which can mitigate the impact of DoS attacks. Moreover, the signals of state, observations of disturbance observers and adaptive laws are calculated to generate the trigger signals in the control signal simultaneously, which can help conserve communication resources and reduce the occurrence of pulse phenomenon. Meanwhile, since the predictor exists certain prediction errors that will reduce the tracking performance, a speed function is introduced to ensure the achievement of the control objective. The designed solution guarantees semiglobally uniformly ultimately bounded for all signals within the closed‐loop system. Finally, the effectiveness of control scheme is demonstrated through several simulation results.

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Section: Compound Et Mechanismmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Detection‐based compound event‐triggered secure control for nonlinear multiagent systems

Zhu,

Cao,

Ren

et al. 2024

Intl J Robust & Nonlinear

Self Cite

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“…This article proposes a performance-oriented containment control algorithm. Different from the existing works, [34][35][36] the main contributions of the article are summarized as follows:…”

Section: Introductionmentioning

confidence: 99%

“…(2) In the existing works, [34][35][36] the containment control method of MASs can ensure bounded containment errors. However the chattering phenomenon is not avoided in these related approaches.…”

Section: Introductionmentioning

confidence: 99%

Fixed‐time nonsingular adaptive containment control for uncertain nonlinear multi‐agent systems with predefined accuracy

Shan

Xue

Jia

et al. 2022

Adaptive Control & Signal

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Summary This article studies the containment control problem for uncertain nonlinear multi‐agent systems. To solve this problem, a performance‐oriented fuzzy adaptive algorithm is proposed. By constructing a new Lyapunov function and using the predefined accuracy functions, the algorithm ensures the negative‐definite property of the time derivative of the Lyapunov function while guaranteeing that the containment errors converge to a user‐defined interval. Different from most existing results, the control algorithm proposed in this article realizes the negative‐definite property of the time derivative of Lyapunov function without adjusting parameters. Then, an event‐triggered mechanism is introduced to reduce the communication burden between the controller and the actuator. Moreover, by using the singularity‐avoidance functions, a fixed‐time fuzzy nonsingular controller is constructed to avoid the possible “singularity” problem in the backstepping recursive design. Based on the fixed‐time stability criterion, it is proved that all output signals converge to a predefined interval in a fixed time. Finally, several simulation results further demonstrate the effectiveness of the presented control strategy.

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A basketball game prediction system based on artificial intelligence

Chen

2022

J Supercomput

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Predictor-Based Fuzzy Adaptive Containment Control for Nonlinear Multiagent Systems With Actuator Nonlinearity and Unmeasurable States

Cited by 13 publications

References 50 publications

Detection‐based compound event‐triggered secure control for nonlinear multiagent systems

Detection‐based compound event‐triggered secure control for nonlinear multiagent systems

Fixed‐time nonsingular adaptive containment control for uncertain nonlinear multi‐agent systems with predefined accuracy

A basketball game prediction system based on artificial intelligence

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