Prescribed Performance Bipartite Consensus Control for Stochastic Nonlinear Multiagent Systems Under Event-Triggered Strategy

Ren, Chang‐E; Zhang, Jiaang; Guan, Yong

doi:10.1109/tcyb.2021.3119066

Cited by 39 publications

(3 citation statements)

References 53 publications

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“…Reference 33 studied the existence of Zeno behavior in event‐triggering multiagent systems aiming for achieving finite‐time consensus. References 34,35 designed event‐triggering control for multiagent systems with prescribed system convergence performance. These works studied event‐triggering control strategies to improve these two types of system performance.…”

Section: Resultsmentioning

confidence: 99%

Robust adaptive control for spacecraft attitude synchronization subject to external disturbances: A performance adjustable event‐triggered mechanism

Dai

et al. 2022

Intl J Robust & Nonlinear

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Summary This article addresses the leader‐following synchronization problem of multiple rigid spacecraft systems affected by external disturbances with the directed topology. An event‐triggered distributed observer is proposed to estimate the leader's state. By integrating a performance adjustable function (PAF) into the event‐triggered mechanism, the sampling frequency and estimation speed can be adjusted. Based on the event‐triggered distributed observer, an adaptive event‐triggered control scheme is proposed to aganist the external disturbances. With the adaptive event‐triggered control scheme, continuous communication between spacecraft is no longer required and Zeno‐free property can be guaranteed. The effectiveness of the theoretical results is verified by a numerous example.

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Section: Resultsmentioning

confidence: 99%

Robust adaptive control for spacecraft attitude synchronization subject to external disturbances: A performance adjustable event‐triggered mechanism

Dai

et al. 2022

Intl J Robust & Nonlinear

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“…The PPC method, proposed by Bechlioulis and Rovithakis [15], aims to make the system output always evolve within the predefined boundary described by a prescribed performance function (PPF) to achieve, for example, the prescribed convergence rate, steady-state precision, etc. Many scholars have combined PPC methods with ETC methods for different systems [16][17][18][19], especially for lower triangular systems (the structure looks like a lower triangle) [20][21][22][23]. This kind of systems have received extensive attention because their structures are typical and widely representative in engineering fields and there exists a systematic control design method (i.e.…”

Section: Introductionmentioning

confidence: 99%

Switching periodic event‐triggered global prescribed performance control of uncertain strict‐feedback systems with sensor faults

Xu,

Zhang,

Hou

2024

IET Control Theory & Appl

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This study investigates the global adaptive prescribed performance control (PPC) of a class of uncertain strict‐feedback nonlinear systems with sensor faults based on the switching periodic event‐triggering mechanism (SPETM). Due to the existence of sensor faults, the controlled system is first remodeled by utilizing the available variables. To reduce the communication frequency, a novel SPETM is proposed by combining the advantages of the static and the dynamic event‐triggering mechanisms. This mechanism can not only avoid continuously monitoring the event‐triggering condition and avoid the Zeno phenomenon in mechanism, but also reduce the trigger frequency while ensuring the system performance by adjusting the event‐triggering threshold dynamically. Meanwhile, a time‐varying scaling function, whose reciprocal is considered as a prescribed performance function, is designed to achieve the global PPC by combining the nonlinear transformation technique. The adaptive control algorithm design is completed by employing the backstepping methodology, which can guarantee that all closed‐loop signals are bounded and the actual system output signal evolves within the prescribed performance boundary for arbitrary initial values. The effectiveness and the advantages of the proposed control algorithm are illustrated through an application example of the network‐based robotic manipulator system.

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“…Therefore, when modeling systems and designing control strategies, the impact of random disturbances on the system needs to be fully considered. In recent years, significant works in this field have emerged, as evidenced by references [9][10][11][12]. However, the aforementioned control techniques fail to address the issue of optimal control.…”

Section: Introductionmentioning

confidence: 99%

On Optimized Cooperative Control for Stochastic Nonlinear Multiagent Systems Using Switched-triggered Input

Wang,

Wang

et al. 2024

Preprint

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This article investigates the optimized backstepping (OB) cooperative control problem for stochastic nonlinear multiagent systems (MASs) with non-affine nonlinear faults. In addition, to save resources and achieve better system performance, a novel switched-triggered mechanism (STM) is proposed for updating the actual controller. Based on the identifier-critic-actor structure and OB technique, the optimal controller is constructed. Additionally, a Butterworth low-pass filter has been incorporated to tackle the challenge of non-affine nonlinear faults. Finally, It is proved that all signals of the controlled system are bounded in probability, and the output of each follower can accurately track the leader's output. Simulation results are presented to validate the effectiveness of the proposed control scheme.

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Prescribed Performance Bipartite Consensus Control for Stochastic Nonlinear Multiagent Systems Under Event-Triggered Strategy

Cited by 39 publications

References 53 publications

Robust adaptive control for spacecraft attitude synchronization subject to external disturbances: A performance adjustable event‐triggered mechanism

Robust adaptive control for spacecraft attitude synchronization subject to external disturbances: A performance adjustable event‐triggered mechanism

Switching periodic event‐triggered global prescribed performance control of uncertain strict‐feedback systems with sensor faults

On Optimized Cooperative Control for Stochastic Nonlinear Multiagent Systems Using Switched-triggered Input

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