Stochastic Event-Based Super-Twisting Formation Control for Multiagent System Under Network Uncertainties

Nandanwar, Anuj; Dhar, Narendra Kumar; Malyshev, Dmitry; Rybak, Larisa; Behera, Laxmidhar

doi:10.1109/tcns.2021.3089142

Cited by 17 publications

(8 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Suppose that Assumptions 1-3 hold. The formation of the N agents is achieved by the distributed NN-based formation controller (11) if the parameters satisfies c > 1…”

Section: Distributed Nn-based Formation Controller Designmentioning

confidence: 99%

“…In recent years, the formation control problems of multi-agent systems have been extensively studied in various fields; see [ 1 ] and the references therein. Recently, typical perspectives on formation control include the time-varying formation control of multi-agent systems [ 2 , 3 , 4 , 5 ], the rigid formation of multiple robots [ 6 , 7 , 8 ], the fractional-order-based controller for multi-agent formation [ 9 ], event-based formation control [ 10 , 11 ] circle formation control [ 12 ], and game-based formation [ 13 ]. For the formation problem of multi-agent systems, the main task is to design an appropriate distributed controller to drive the agents form the predefined formation shape.…”

Section: Introductionmentioning

confidence: 99%

“…The contributions of the paper are at least twofold. Firstly, compared with existing formation results [ 4 , 5 , 6 , 7 , 8 , 10 , 11 ], this paper, for the first time, designs an output-feedback formation controller based on only relative output information, where no observer information transmission is needed during the whole process. Such a design structure has the advantages of reducing communication cost and being free from network attack.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Distributed NN-Based Formation Control of Multi-Agent Systems: A Reduced-Order Appointed-Time Observer Approach

Feng,

Sun,

et al. 2024

Sensors

View full text Add to dashboard Cite

Although the formation control of multi-agent systems has been widely investigated from various aspects, the problem is still not well resolved, especially for the case of distributed output-feedback formation controller design without input information exchange among neighboring agents. Using relative output information, this paper presents a novel distributed reduced-order estimation of the formation error at a predefined time. Based on the proposed distributed observer, a neural-network-based formation controller is then designed for multi-agent systems with connected graphs. The results are verified by both theoretical demonstration and simulation example.

show abstract

“…Suppose that Assumptions 1-3 hold. The formation of the N agents is achieved by the distributed NN-based formation controller (11) if the parameters satisfies c > 1…”

Section: Distributed Nn-based Formation Controller Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Distributed NN-Based Formation Control of Multi-Agent Systems: A Reduced-Order Appointed-Time Observer Approach

Feng,

Sun,

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

“…Event-triggered control needs to meet the system stability for the premise by setting a trigger condition [20]. When the state error associated with the system does not meet this preset condition, the system will only perform a corresponding action, that is, controller update, as well as information transmission [21]. Event-triggered control can be divided into centralized event triggering and distributed event triggering [22].…”

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

“…attractive cooperative problems in multiagent systems, which requires agents to achieve a predefined geometrical formation pattern and widely appeared in many practical applications [6][7][8][9][10], e.g. multirobot coordination [11,12], spacecraft cooperation [13], formation of surface vessels [14][15].…”

mentioning

confidence: 99%

Adaptive Learning Gain based Resilient Control of Multiagent Systems with Partial Uncertain Control Coefficients Under FDI Attacks

Yang,

Long,

Lei

2023

Preprint

View full text Add to dashboard Cite

This paper presents a novel approach to security resilient control in collective multiagent systems, incorporating an adaptive learning gain mechanism. The proposed method addresses challenges posed by bounded external disturbances, partial false-data-injection (FDI) attacks on the actuators, and partial unknown time-varying control coefficients. The presented synthesized control consists of following parts. Specifically, a robust adaptive control law with implicit learning is proposed to address the modeling parameterized uncertainties and disturbances. An adaptive learning gain-based control technique is designed to reduce the adversarial effect caused by mismatched disturbances with time-varying parameters, which curbs the cooperative errors to the assigned field. A resilient control approach is established to mitigate the detrimental impact of malicious attacks on actuators. An adaptive control strategy, utilizing a novel congelation of variables, is implemented to address the control issue pertaining to partially unknown control coefficients. This technique ensures that control inputs align with the practical actuators by establishing feasible control bounds. The property of the resulting closed-loop error multiagent systems is analyzed. Finally, the efficacy of the designed controller is illustrated by providing an illustrative example.

show abstract

Stochastic Event-Based Super-Twisting Formation Control for Multiagent System Under Network Uncertainties

Cited by 17 publications

References 50 publications

Distributed NN-Based Formation Control of Multi-Agent Systems: A Reduced-Order Appointed-Time Observer Approach

Distributed NN-Based Formation Control of Multi-Agent Systems: A Reduced-Order Appointed-Time Observer Approach

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

Adaptive Learning Gain based Resilient Control of Multiagent Systems with Partial Uncertain Control Coefficients Under FDI Attacks

Contact Info

Product

Resources

About