Distributed fault detection for nonlinear multi-agent systems under fixed-time observer

Wu, Yanming; Wang, Zhanshan; Huang, Zhanjun

doi:10.1016/j.jfranklin.2019.06.015

Cited by 23 publications

(27 citation statements)

References 33 publications

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“…(1) A novel method to solve distributed adaptive fixed-time tracking consensus control for strict-feedback nonlinear MASs has been proposed. Compared with some existing results [16][17][18][19][20][21][22][23][24][25][26], our control strategy, by using adaptive RBF neural network control algorithm, is applicable to high-order MASs with different unknown nonlinear functions and order of dynamics. (2) In order to solve the "complexity explosion" problem caused by the repeated differentiation in the controller design process, it is different from the traditional dynamic surface technique; this paper constructs a smooth function M(Z)derived from Lyapunov stability to compensate the part of (z] i /zθ i )θ…”

Section: Introductionmentioning

confidence: 98%

“…To overcome the limitation of finite-time control, a serial of research results [16][17][18][19][20][21][22][23][24][25][26] on fixed-time consensus control for MASs has been carried out since its setting time can be bounded and predefined. Note that most of the fixed-time control results [16][17][18][19][20] were designed for MASs with first order or second order.…”

Section: Introductionmentioning

confidence: 99%

“…Note that most of the fixed-time control results [16][17][18][19][20] were designed for MASs with first order or second order. Only a few results [21][22][23][24][25][26] solved the fixed-time consensus problems for high-order MASs. On the contrary, strict-feedback or lower triangular systems have been widely regarded as a control target due to the description of various physical systems [27].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Distributed Adaptive Fixed-Time Tracking Consensus Control for Multiple Uncertain Nonlinear Strict-Feedback Systems under a Directed Graph

Dai

Jin

et al. 2020

Complexity

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In this brief, we study the distributed adaptive fixed-time tracking consensus control problem for multiple strict-feedback systems with uncertain nonlinearities under a directed graph topology. It is assumed that the leader’s output is time varying and has been accessed by only a small fraction of followers in a group. The distributed fixed-time tracking consensus control is proposed to design local consensus controllers in order to guarantee the consensus tracking between the followers and the leader and ensure the error convergence time is independent of the systems’ initial state. The function approximation technique using radial basis function neural networks (RBFNNs) is employed to compensate for unknown nonlinear terms induced from the controller design procedure. From the Lyapunov stability theorem and graph theory, it is shown that, by using the proposed fixed-time control strategy, all signals in the closed-loop system and the consensus tracking errors are cooperatively semiglobally uniformly bounded and the errors converge to a neighborhood of the origin within a fixed time. Finally, the effectiveness of the proposed control strategy has been proved by rigorous stability analysis and two simulation examples.

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Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Distributed Adaptive Fixed-Time Tracking Consensus Control for Multiple Uncertain Nonlinear Strict-Feedback Systems under a Directed Graph

Dai

Jin

et al. 2020

Complexity

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“…In general, two approaches of the FDA can be distinguished: i) Modelbased approaches [3,4], and ii) Data-driven approaches [7,8]. Presently, model-based FDA using observers and estimators have great significance as system states can be estimated by engaging the system-dynamics effectively [9][10][11]. In contrast, data-driven approaches utilize high dimensional results to make any decision [12].…”

Section: Introductionmentioning

confidence: 99%

“…Multi-fault detection and diagnosis using robust observers was also carried out in [17]. Intelligent or agent-based FDA for different nonlinear systems established in [11,[18][19][20]. In the EHA applications, Fu studied fault diagnosis of a large forging hydraulic press by extracting and mapping leakage information [21].…”

Section: Introductionmentioning

confidence: 99%

An Unknown Input Observer–EFIR Combined Estimator for Electrohydraulic Actuator in Sensor Fault-Tolerant Control Application

Nahian

Dinh

Dao

et al. 2020

IEEE/ASME Trans. Mechatron.

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A new belief rule base based distributed online fault diagnosis method for multi‐agent systems

Wang

Yang

et al. 2023

Asian Journal of Control

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In this paper, based on belief rule base (BRB), we studied the distributed online fault diagnosis problem of multi‐agent systems (MASs). To begin with, considering the distributed nature of MASs, by using the relative information between an agent and its neighbors, a distributed online fault diagnosis model is constructed. Next, for the results of fault diagnosis, when an agent doesn't get enough relative information to diagnose the fault, the fault diagnosis result may be inaccurate, and if there exist too many neighbors of an agent, the number of attributes of the proposed BRB fault diagnosis model will be too large, which will lead to large computation. To improve the performance of the proposed distributed online fault diagnosis model, a real‐time communication topology switching strategy was proposed. Under the constructed distributed fault diagnosis model, the real‐time performance and the accuracy of fault diagnosis for agents can be guaranteed simultaneously. Finally, a simulation is given to validate the effectiveness and advancement of the distributed online fault diagnosis method proposed in this paper.

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Distributed fault detection for nonlinear multi-agent systems under fixed-time observer

Cited by 23 publications

References 33 publications

Distributed Adaptive Fixed-Time Tracking Consensus Control for Multiple Uncertain Nonlinear Strict-Feedback Systems under a Directed Graph

Distributed Adaptive Fixed-Time Tracking Consensus Control for Multiple Uncertain Nonlinear Strict-Feedback Systems under a Directed Graph

An Unknown Input Observer–EFIR Combined Estimator for Electrohydraulic Actuator in Sensor Fault-Tolerant Control Application

A new belief rule base based distributed online fault diagnosis method for multi‐agent systems

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