Distributed Optimal Attitude Synchronization Control of Multiple QUAVs via Adaptive Dynamic Programming

Guo, Zijie; Li, Hongyi; Ma, Hui; Meng, Wei

doi:10.1109/tnnls.2022.3224029

Cited by 32 publications

(2 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are numerous applications of optimal control across different domains, such as aerospace [14], automotive industry [15], and unmanned aerial [16], playing a significant role in enhancing system performance, reducing energy consumption, and optimizing resource utilization. In nonlinear systems, adaptive dynamic programming and reinforcement learning (RL) technologies play vital roles ( [17][18][19][20][21][22][23]). Wang et al in [18] proposed a novel observer-based elastic adaptive intermittent control strategy.…”

Section: Introductionmentioning

confidence: 99%

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

Wang,

Wang

et al. 2024

Preprint

View full text Add to dashboard Cite

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.

show abstract

Section: Introductionmentioning

confidence: 99%

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

Wang,

Wang

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Recently, the cooperative control problem of multi‐agent systems (MASs) has received extensive attention for its practical applications in various areas, such as spacecrafts, 1,2 unmanned aerial vehicles, 3–5 robot systems, 6–8 and so on. Consensus control, one of the hottest cooperative issues, is aimed at addressing how to keep the states or outputs of MASs consistent, which only depends on local information 9–11 .…”

Section: Introductionmentioning

confidence: 99%

Data‐driven bipartite leader‐following consensus control for nonlinear multi‐agent systems under hybrid attacks

Duan,

Chen,

Ren

et al. 2023

Intl J Robust & Nonlinear

Self Cite

View full text Add to dashboard Cite

This paper proposes a data‐driven bipartite leader‐following consensus strategy for a class of nonlinear multi‐agent systems (MASs) under external disturbances and hybrid attacks, which are composed of denial‐of‐service attacks and false data injection attacks. This data‐driven algorithm incorporates no system dynamics and only utilizes the input and output data generated by the controlled plant. First, the nonlinear MAS with external disturbances can be transformed into an equivalent linear data model by applying a revised dynamic linearization method. Second, a hybrid‐attack compensation mechanism is proposed to alleviate the adverse impact of data dropout caused by hybrid attacks. Then, based on the compensation mechanism, an extended state observer is designed that can mitigate the negative influence induced by external disturbances and improve the control performance even though the MAS is threatened by hybrid attacks. The systems under hybrid attacks and external disturbances can still remain stable with the proposed data‐driven strategy. Finally, simulation examples demonstrate the validity of the data‐driven strategy, and the bipartite consensus error can be reduced to a small range.

show abstract

An improved switched prescribed finite time attitude control for quadrotors

Liu,

He,

Liu

et al. 2024

Intl J Robust & Nonlinear

View full text Add to dashboard Cite

SummaryThe paper is devoted to the prescribed finite time attitude control for quadrotors. A novel prescribed finite time function is introduced, which is independent of initial conditions and design parameters. And a switched prescribed finite time controller is firstly designed, such that the quadrotor can not only converge to the desired attitude in a prescribed time, but also guarantee the stability of the quadrotor after the settling time. Simultaneously, it effectively avoids chattering issues at the controller's switching points. Finally, the simulation comparisons are carried out between the proposed control strategy and infinite time, finite time, traditional prescribed finite time control schemes to demonstrate the superiority of the developed controller.

show abstract

Distributed Optimal Attitude Synchronization Control of Multiple QUAVs via Adaptive Dynamic Programming

Cited by 32 publications

References 59 publications

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

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

Data‐driven bipartite leader‐following consensus control for nonlinear multi‐agent systems under hybrid attacks

An improved switched prescribed finite time attitude control for quadrotors

Contact Info

Product

Resources

About