Event-triggered adaptive consensus for fuzzy output-constrained multi-agent systems with observers

Wang, Liqi; Dong, Jie; Xi, Changjiang

doi:10.1016/j.jfranklin.2019.09.033

Cited by 66 publications

(34 citation statements)

References 44 publications

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“…It is worth mentioning that the existing results about event-triggered control focus either on nonlinear systems with identity control gain in 31,33 or on single-terminal approaches. [26][27][28][29][30]32 Also, few of them take total disturbances, including internal and external ones, into account. In this paper, we pay attention to the following aspects, dual-terminal triggered mechanism associated with output information and input signal, a nonlinear system with unknown control gain and total disturbances, and the triggered function with a time-varying threshold for control input.…”

Section: Control Objectivementioning

confidence: 99%

“…With Assumptions 1 to 3, for the system (1) with the unknown control gain and external disturbances, by the ETESO (5) and the control scheme (30) with intermediate control law (32)…”

Section: Theoremmentioning

confidence: 99%

“…Remark It is worth mentioning that the existing results about event‐triggered control focus either on nonlinear systems with identity control gain in 31,33 or on single‐terminal approaches 26‐30,32 . Also, few of them take total disturbances, including internal and external ones, into account.…”

Section: Problem Formulation and Preliminariesmentioning

confidence: 99%

“…Taking unavailable states and network delays into account, Zhao et al 29 construct an observer by local output estimation errors and neighbors' state estimation and study the leader follow consensus control of a class of linear multi‐agent systems (MASs). Wang et al 30 report a consensus control for a class of uncertain nonlinear MASs, in which fuzzy state observer is used to estimate the unavailable states of MAS and an event‐triggered input is introduced to reduce communication burdens. However, the observers in References 26‐30 work by continuous output information without any resource limitation in data transmissions.…”

Section: Introductionmentioning

confidence: 99%

“…Wang et al 30 report a consensus control for a class of uncertain nonlinear MASs, in which fuzzy state observer is used to estimate the unavailable states of MAS and an event‐triggered input is introduced to reduce communication burdens. However, the observers in References 26‐30 work by continuous output information without any resource limitation in data transmissions.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Trigger‐based tracking control for a class of uncertain nonlinear systems via an event‐triggered extended state observer

Yang

Yue

2020

Intl J Robust & Nonlinear

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An event-triggered observer-based output feedback control issue together with triggered input is investigated for a class of uncertain nonlinear systems subject to unknown external disturbances. Two separate event-triggered conditions are located on the measurement channel and control channel, respectively. An event-triggered extended state observer (ETESO) is employed to estimate unmeasurable states and compensate uncertainties and disturbances in real time while it is not required for real-time output measurement. Then, combined with backstepping method and active disturbance rejection control, an output feedback control scheme is proposed, where an event-triggered input is developed for reducing the communication rate between the controller and the actuator. The triggered instants are determined by a time-varying event-triggered condition. Two simulations, including a numerical example and an permanent-magnet motor, are illustrated to verify the effectiveness of the proposed schemes.

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Section: Control Objectivementioning

confidence: 99%

“…With Assumptions 1 to 3, for the system (1) with the unknown control gain and external disturbances, by the ETESO (5) and the control scheme (30) with intermediate control law (32)…”

Section: Theoremmentioning

confidence: 99%

Section: Problem Formulation and Preliminariesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Trigger‐based tracking control for a class of uncertain nonlinear systems via an event‐triggered extended state observer

Yang

Yue

2020

Intl J Robust & Nonlinear

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Event‐triggered Kalman consensus filter for sensor networks with intermittent observations

LiangYuan

LiYinya

ChenSujuan

et al. 2021

Adaptive Control & Signal

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Summary This article investigates the event‐triggered Kalman consensus filtering (ET‐KCF) problem for distributed sensor networks with intermittent observations. First, a novel ET consensus filtering structure is designed for sensor networks with intermittent observations. With the proposed consensus filtering structure, a new ET mechanism that is more efficient than the existed ones is designed to schedule transmissions of local estimates. Then, an optimal ET‐KCF in the sense of minimum mean‐square error is developed. For reducing the computational complexity of filtering algorithm, a suboptimal ET‐KCF is further proposed. Moreover, the stability of the suboptimal ET‐KCF is analyzed. Simulation results verify the validity and superiority of the proposed method.

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Adaptive fixed‐time fuzzy control for output constrained nonlinear systems with unknown virtual control coefficients based on event‐triggered mechanism

Liu

Zhang

2022

Adaptive Control & Signal

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Summary The paper discusses a fixed‐time fuzzy adaptive event‐triggered control for the nonlinear systems with output constraint and unknown virtual control coefficients. Fuzzy logic systems are utilized to approximate the uncertain nonlinearities. The barrier Lyapunov function is employed to analyze the stability and avoid violating the given output constraint. The combination of the designed adaptive laws and fixed‐time control signal is used to reduce restriction on unknown virtual control coefficients and increase the robustness for control. An event‐triggered mechanism is proposed to update controllers to save communication resources. The control strategy makes sure that the tracking error can converge into a small neighborhood of the origin in a fixed time. Finally, the efficacy of the proposed control approach is verified by two simulation examples.

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Event-triggered adaptive consensus for fuzzy output-constrained multi-agent systems with observers

Cited by 66 publications

References 44 publications

Trigger‐based tracking control for a class of uncertain nonlinear systems via an event‐triggered extended state observer

Trigger‐based tracking control for a class of uncertain nonlinear systems via an event‐triggered extended state observer

Event‐triggered Kalman consensus filter for sensor networks with intermittent observations

Adaptive fixed‐time fuzzy control for output constrained nonlinear systems with unknown virtual control coefficients based on event‐triggered mechanism

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