prick-test 发表于 2025-3-23 09:54:51

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莎草 发表于 2025-3-23 17:28:33

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聋子 发表于 2025-3-23 21:44:36

Adaptive Robust RBF Control Based on Local Approximation,This chapter introduces three kinds of adaptive robust RBF controllers for robotic manipulators based on local approximation, including robust adaptive controller based on nominal model, adaptive controller based on local model approximation, and adaptive controller based on task space.

Exposition 发表于 2025-3-23 22:56:01

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转折点 发表于 2025-3-24 03:09:14

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opprobrious 发表于 2025-3-24 06:34:59

Adaptive RBF Observer Design and Sliding Mode Control,This chapter introduces a kind of adaptive observer with RBF neural network approximation. Using this observer, a speedless sliding mode controller is designed. Stability analysis of the observer and the closed control system are presented. Simulation examples for single-link manipulator are given.

完成 发表于 2025-3-24 13:38:06

Jinkun LiuFundamental and thorough understanding in the neural network control system design.Typical adaptive RBF neural controllers design and stability analysis are given in a concise manner.Many engineering

OGLE 发表于 2025-3-24 16:46:00

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Chromatic 发表于 2025-3-24 21:44:22

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DEBT 发表于 2025-3-25 02:29:14

Adaptive RBF Control Based on Global Approximation,ol law, adaptive neural network control law with sliding mode robust term, and adaptive neural network control law with HJI. The closed-loop system stability can be achieved based on the Lyapunov stability.
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查看完整版本: Titlebook: Radial Basis Function (RBF) Neural Network Control for Mechanical Systems; Design, Analysis and Jinkun Liu Book 2013 Tsinghua University Pr