Distance-based Formation Tracking with Unknown Bounded Reference Velocity

Vu, Dung Van; Trinh, Minh Hoang; Ahn, Hyo‐Sung

doi:10.23919/iccas50221.2020.9268314

Cited by 8 publications

(1 citation statement)

References 25 publications

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“…Aryankia K et al designed the distance-based adaptive neural network controller for communication delays and external nonlinear disturbances to achieve formation generation and tracking control [37]. Vu D V et al proposed the distancebased formation controller using a leader-follower structure to achieve formation tracking control under the constant leader speed [38]. In the distance-based UAV formation control method, UAVs can realize formation control only by perceiving the distance between their neighbors and their own sensing device.…”

Section: Introductionmentioning

confidence: 99%

Distributed Adaptive Path-Following Control for Distance-Based Formation of Fixed-Wing UAVs under Input Saturation

Wu,

Wang,

et al. 2023

Aerospace

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This paper investigates the distance-based formation and cooperative path-following control problems for multiple fixed-wing unmanned aerial vehicles (UAVs). In this study, we design the distance-based formation control structure to achieve the virtual leader and followers pre-defined rigid formation pattern, ensuring simultaneously relative localization. A path-following control strategy based on adaptive dynamic surface and neural network control technology is proposed to approximate the uncertain disturbances of the environment and unmodeled dynamics. And the longitudinal and lateral subsystems’ adaptive fault-tolerant controllers are designed, respectively, to achieve the fault-tolerant control of UAVs’ formation in three-dimensional environments. Furthermore, the adaptive sliding mode controller with an auxiliary controller is designed to realize the UAVs path following with limited input saturation. Finally, simulation examples are given to clarify and verify the effectiveness of the theoretical results.

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Section: Introductionmentioning

confidence: 99%

Distributed Adaptive Path-Following Control for Distance-Based Formation of Fixed-Wing UAVs under Input Saturation

Wu,

Wang,

et al. 2023

Aerospace

View full text Add to dashboard Cite

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Fixed/Preassigned-Time Synchronization Control of Complex Networks With Time Varying Delay

et al. 2022

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The problem of fixed-time (FXT) and preassigned-time (PAT) synchronization for delayed dynamic complex networks via developing control schemes is concerned. First, By comparing with the existing results, some new results for delayed networks model to ensure the synchronization of FXT and PAT are obtained. Second, some looser conditions are obtained for FXT synchronization, and several more accurate settling time (ST) estimates are established through several special functions. Third, by using some non-trivial control strategy, the PAT synchronization is investigated with limited control gains, and the synchronization time is able to specified in advance on the basis of practical need and is not relate to any parameter and any initial value. In particular, as a distinct form, the essential conditions for the FXT and PAT synchronization are obtained for the coupled neural networks. last, the improved the FXT and PAT synchronization results of dynamic delayed networks are demonstrated by one numerical example.INDEX TERMS Complex delayed networks, Preassigned-time synchronization, Fixed-time synchronization, Settling time.

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