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Stochastic Robust Team Formation Tracking Design of Multi-VTOL-UAV Networked Control System in Smart City under Time-Varying Delay and Random Fluctuation
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Stochastic Robust Team Formation Tracking Design of Multi-VTOL-UAV Networked Control System in Smart City under Time-Varying Delay and Random Fluctuation

Min-Yen Lee, Bor-Sen Chen, Yi ChangChih-Lyang Hwang
IEEE Access, 卷.8, 頁碼.131310-131326
2020

摘要

event-triggered control robust stochastic control Unmanned aerial vehicle networked system virtual structure formation control Computer Science (all) Materials Science (all) Engineering (all)
In this study, the robust H∞ event-triggered team formation tracking control design of multi-VTOL-UAVs in networked system is investigated. To describe the realistic networked system and UAV model, the intrinsic continuous Wiener random fluctuation, discontinuous Poisson random fluctuations, external disturbances and time-varying delays of wireless network are formulated in the proposed nonlinear stochastic jump diffusion system structure. By combining the event-triggered multi-UAV dynamic models and reference model into an augmented system, the robust H∞ event-triggered multi-UAV networked team tracking problem can be transformed to a Hamilton-Jacobi inequality(HJI)-constraint optimization problem. Due to the difficulties in solving HJI-constraint optimization problem, for practical application, the T-S fuzzy techniques are adopted to efficiently approximate the nonlinear multi-UAVs system by a set of local linearized networked systems. Thus, the HJI-constraint optimization problem for the H∞ event-triggered robust formation team tracking control can be transformed to a linear matrix inequality(LMI)-constraint optimization problem and can be easily solved by the convex optimization techniques. Finally, a simulation example is given to validate the effectiveness of the proposed event-triggered robust H∞ team formation tracking control for the multi-VTOL-UAV system.

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https://doi.org/10.1109/ACCESS.2020.3009751檢視
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