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- W2045161112 abstract "In this paper, a decentralized adaptive tracking control is developed for a second-order leader–follower system with unknown dynamics and relative position measurements. Linearly parameterized models are used to describe the unknown dynamics of a self-active leader and all followers. A new distributed system is obtained by using the relative position and velocity measurements as the state variables. By only using the relative position measurements, a dynamic output–feedback tracking control together with decentralized adaptive laws is designed for each follower. At the same time, the stability of the tracking error system and the parameter convergence are analyzed with the help of a common Lyapunov function method. Some simulation results are presented to validate the proposed adaptive tracking control." @default.
- W2045161112 created "2016-06-24" @default.
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- W2045161112 date "2014-05-01" @default.
- W2045161112 modified "2023-10-17" @default.
- W2045161112 title "Adaptive tracking control of leader–follower systems with unknown dynamics and partial measurements" @default.
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- W2045161112 doi "https://doi.org/10.1016/j.automatica.2014.02.037" @default.
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