Event-triggered fuzzy adaptive quantized control for nonlinear multi-agent systems in nonaffine pure-feedback form

Liu, Guangliang; Pan, Yingnan; Lam, Hak‐Keung; Liang, Hongjing

doi:10.1016/j.fss.2020.06.014

Cited by 30 publications

(12 citation statements)

References 50 publications

(65 reference statements)

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“…In modern technology, an event-triggered mechanism and quantized mechanism can reduce the action frequency of the controller, thus overcoming the problem of wasting communication resources [39]. For example, reference [40] solved the problem of event-triggered fuzzy adaptive tracking control for MASs with input quantization and reduced the communication burden by combining an asymmetric hysteresis quantizer and event triggering mechanism. Based on quantized feedback control, Reference [41] studied the problem of adaptive event-triggered tracking for nonlinear systems with ex-ternal disturbances.…”

Section: Introductionmentioning

confidence: 99%

“…(2) Compared with references [38,40], the state observer is used to estimate system states, and the RBFNN is developed to estimate uncertain parts. In comparison with references [41,43], fractional order DSC technology is used to avoid the "explosion of complexity" that can occur during traditional backstepping design processes and to obtain fractional derivatives for virtual control continuously.…”

Section: Introductionmentioning

confidence: 99%

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Switched Fractional Order Multiagent Systems Containment Control with Event-Triggered Mechanism and Input Quantization

Yuan

Chen

2022

Fractal Fract

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This paper studies the containment control problem for a class of fractional order nonlinear multiagent systems in the presence of arbitrary switchings, unmeasured states, and quantized input signals by a hysteresis quantizer. Under the framework of the Lyapunov function theory, this paper proposes an event-triggered adaptive neural network dynamic surface quantized controller, in which dynamic surface control technology can avoid “explosion of complexity” and obtain fractional derivatives for virtual control functions continuously. Radial basis function neural networks (RBFNNs) are used to approximate the unknown nonlinear functions, and an observer is designed to obtain the unmeasured states. The proposed distributed protocol can ensure all the signals remain semi-global uniformly ultimately bounded in the closed-loop system, and all followers can converge to the convex hull spanned by the leaders’ trajectory. Utilizing the combination of an event-triggered scheme and quantized control technology, the controller is updated aperiodically only at the event-sampled instants such that transmitting and computational costs are greatly reduced. Simulations compare the event-triggered scheme without quantization control technology with the control method proposed in this paper, and the results show that the event-triggered scheme combined with the quantization mechanism reduces the number of control inputs by 7% to 20%.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Switched Fractional Order Multiagent Systems Containment Control with Event-Triggered Mechanism and Input Quantization

Yuan

Chen

2022

Fractal Fract

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“…Recently, some scholars have combined the advantages of ETCS and adaptive control to design the adaptive eventtriggered control. In addition, some admirable results were obtained [32][33][34][35]. For example, in [34], the TVFC issue of linear MASs was considered under the proposed adaptive ETCS with adjustable time-variant parameters.…”

Section: Introductionmentioning

confidence: 99%

“…It should be pointed out that most of works in [27][28][29][30][31][32][33][34][35] are concerned with the formation control of first-order integer system, which can not accurately characterize some complex dynamic behaviors in practical application. To the best of our knowledge, a few results are concerned with the formation control problem of second-order FMASs.…”

Section: Introductionmentioning

confidence: 99%

Distributed Adaptive Mittag–Leffler Formation Control for Second-Order Fractional Multi-Agent Systems via Event-Triggered Control Strategy

Wang

Zhang

2022

Fractal Fract

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This brief investigates the Mittag–Leffler formation bounded control problem for second-order fractional multi-agent systems (FMASs), where the dynamical nodes of followers are modeled to satisfy quadratic (QUAD) condition. Firstly, under the undirected communication topology, for the considered second-order nonlinear FMASs, a distributed event-triggered control scheme (ETCS) is designed to realize the global Mittag–Leffler bounded formation control goal. Secondly, by introducing adaptive weights into triggering condition and control protocol, an adaptive event-triggered formation protocol is presented to achieve the global Mittag–Leffler bounded formation. Thirdly, a five-step algorithm is provided to describe protocol execution steps. Finally, two simulation examples are given to verify the effectiveness of the proposed schemes.

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“…In [24,25], the authors introduced ETC into the second-order system, which proved that it can effectively reduce the calculation amount of the system and reduce the update frequency of the controller. In [26], a nonlinear decomposition method of asymmetric hysteresis quantizer is proposed by using the fuzzy logic system to estimate random perturbation term and unknown nonlinear function, and the sector constraint property is used. In [27][28][29][30], the authors have investigated the quantized consensus problem of the general linear systems and nonlinear systems, respectively, with the couple of ETC fashion.…”

Section: Introductionmentioning

confidence: 99%

Distributed Event‐Triggered Circle Formation Control for Multiagent Systems with Nonuniform Quantization

et al. 2021

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This article focuses on circle formation control problem of multiagent systems based on event-triggered strategy under limited communication bandwidth. In such system, each agent can only perceive the angular distance of its nearest neighbor in the counterclockwise direction, and the angular distance of the nearest neighbor in the clockwise direction needs to be obtained by communicating with each other. In order to address the aforementioned problem, a novel distributed algorithm based on the combination of nonuniform quantitative communication technology and event-triggered control is proposed. Sufficient conditions on circle formation control are derived under which the states of all agents can be confirmed to converge to some desired equilibrium point. Different from the traditional uniform quantization communication framework, nonuniform quantization can be beneficial for handling small signals and improving the performance of multiagent systems concerned. Furthermore, under the proposed policy, all the designed quantizers do not emerge saturated. Numerical simulation results are provided to verify the effectiveness of the proposed algorithm.

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Event-triggered fuzzy adaptive quantized control for nonlinear multi-agent systems in nonaffine pure-feedback form

Cited by 30 publications

References 50 publications

Switched Fractional Order Multiagent Systems Containment Control with Event-Triggered Mechanism and Input Quantization

Switched Fractional Order Multiagent Systems Containment Control with Event-Triggered Mechanism and Input Quantization

Distributed Adaptive Mittag–Leffler Formation Control for Second-Order Fractional Multi-Agent Systems via Event-Triggered Control Strategy

Distributed Event‐Triggered Circle Formation Control for Multiagent Systems with Nonuniform Quantization

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