Event‐triggered adaptive fuzzy bipartite consensus control of multiple autonomous underwater vehicles

Xu, Yan; Li, Tieshan; Tong, Shaocheng

doi:10.1049/iet-cta.2020.0706

Cited by 17 publications

(4 citation statements)

References 45 publications

(52 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The following result excludes the Zeno behavior a.s.. Theorem 2: Consider system (1) with the control law given in (2). Under the same conditions as in Theorem 1, for any agent i, the following equality holds:…”

Section: Zeno Behavior Analysismentioning

confidence: 91%

“…In recent years, the study of distributed consensus control problem of multi-agent systems (MASs) have received increasing attention, due to its broad applications in multirobot coordination [1], autonomous underwater vehicles [2], smart grid [3], unmanned aerial vehicle formation [4] and other fields [5]- [7]. In general, traditional consensus algorithms require each agent to share its local state, or even its local input, with neighboring agents.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Event-triggered privacy preserving consensus control with edge-based additive noise

Lin¹,

Liu²

2023

Preprint

View full text Add to dashboard Cite

In this article, we investigate the distributed privacy preserving weighted consensus control problem for linear continuous-time multi-agent systems under the event-triggering communication mode. A novel event-triggered privacy preserving consensus scheme is proposed, which can be divided into three phases. First, for each agent, an event-triggered mechanism is designed to determine whether the current state is transmitted to the corresponding neighbor agents, which avoids the frequent real-time communication. Then, to protect the privacy of initial states from disclosure, the edge-based mutually independent standard white noise is added to each communication channel. Further, to attenuate the effect of noise on consensus control, we propose a stochastic approximation type protocol for each agent. By using the tools of stochastic analysis and graph theory, the asymptotic property and convergence accuracy of consensus error is analyzed. Finally, a numerical simulation is given to illustrate the effectiveness of the proposed scheme.

show abstract

Section: Zeno Behavior Analysismentioning

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Event-triggered privacy preserving consensus control with edge-based additive noise

Lin¹,

Liu²

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Within the broad and prevailing applications of vehicle swarms, including air-ground unmanned vehicle cooperation [1], unmanned aerial vehicle coordinated collision avoidance [2], distributed tracking of competitive autonomous underwater vehicles [3] and multiple spacecraft flight formation [4], the desired orbit tracking and formation motion control problem, that is, multiple unmanned vehicles (MUVs) tracking a level of orbits and forming into certain formation, has received much attention. In the literature, many results of formation control have been given based on the traditional control theory [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Switching threshold event‐triggered critic algorithm for optimal orbit tracking and formation motion

Yu,

Chen,

Zhang

2023

IET Control Theory & Appl

View full text Add to dashboard Cite

This paper deals with the orbit tracking and formation motion problems with optimal energies and reduced computational cost. First, the orbit tracking and formation motion are decomposed into movements in the normal and tangent directions of level orbits, respectively, and simultaneously, the optimal value functions in both directions are defined. Then, to reduce the computational cost, a switching threshold event‐triggered (STET) mechanism is designed. Based on the STET mechanism, the optimal value functions are constructed to evaluate the optimal energies of orbit tracking and formation motion. Critic neural networks are then designed to approximate the optimal value functions, which yield the optimal policies along the normal and tangent directions of desired orbits, that is, a so‐called switching threshold event‐triggered critic algorithm (STET‐C). Theoretical analysis of system convergence is given in detail. Finally, two comparison simulations are given. The former intends to verify the optimal energy of STET‐C compared to the feedback controllers. The latter shows that STET‐C significantly reduces the computational cost in contrast with the non‐triggered actor‐critic algorithm, non‐triggered critic algorithm, and the relative threshold event‐triggered critic algorithm.

show abstract

“…Su proposed an event-triggered integral sliding mode fixed-time control method to solve the trajectory tracking problem for AUVs with disturbances [31]. Xu studied the event-triggered distributed adaptive dichotomous consensus control problem for a multi-AUV system with fixed topology [32].…”

Section: Introductionmentioning

confidence: 99%

Research on Formation Control Method of Heterogeneous AUV Group under Event-Triggered Mechanism

Chen¹,

Luo

Zhou

et al. 2022

Mathematics

View full text Add to dashboard Cite

The time-sampling control strategy has communication discontinuities in the control of multiple AUVs (autonomous underwater vehicles). To overcome this problem, a distributed event-triggered communication mechanism is proposed to make each AUV communicate only when its own state is updated, which reduces the frequency of communication and improves the stability. This mechanism has better adaptability for formation control between heterogeneous AUV groups. At the same time, two consistency control algorithms based on event-triggered for homogeneous and heterogeneous AUV groups are studied, respectively. The known consistency algorithms are applied to the control of heterogeneous AUV groups for comparative analysis. The simulation results demonstrate that the number of communication among AUVs under the event-triggered control strategy can be significantly reduced. Therefore, the stability of the system is improved. Compared with the traditional consensus algorithm, the algorithm proposed in this paper has advantages in the control of heterogeneous AUV groups.

show abstract

Event‐triggered adaptive fuzzy bipartite consensus control of multiple autonomous underwater vehicles

Cited by 17 publications

References 45 publications

Event-triggered privacy preserving consensus control with edge-based additive noise

Event-triggered privacy preserving consensus control with edge-based additive noise

Switching threshold event‐triggered critic algorithm for optimal orbit tracking and formation motion

Research on Formation Control Method of Heterogeneous AUV Group under Event-Triggered Mechanism

Contact Info

Product

Resources

About