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- W1554593733 abstract "In this paper, an orthogonal functions neural network is used to achieve the control of nonlinear systems. The adaptive controller is constructed by using Chebyshev orthogonal polynomials neural network, which has advantages such as simple structure and fast convergence speed. The adaptive learning law of orthogonal neural network is derived to guarantee that the adaptive weight errors and tracking errors are bound by using Lyapunov stability theory. Simulation results are given for a two-link robot in the end of the paper, and the control scheme is validated." @default.
- W1554593733 created "2016-06-24" @default.
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- W1554593733 date "2009-01-01" @default.
- W1554593733 modified "2023-09-27" @default.
- W1554593733 title "Tracking Control of Robot Manipulators via Orthogonal Polynomials Neural Network" @default.
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- W1554593733 doi "https://doi.org/10.1007/978-3-642-01513-7_20" @default.
- W1554593733 hasPublicationYear "2009" @default.
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