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Adaptive neural network passivity-based control with state observer for partially unknown nonlinear systems | Synapse
March 3, 2026
Adaptive neural network passivity-based control with state observer for partially unknown nonlinear systems
JG
Junjie Gong
SG
Shengjie Guo
JC
Jie Chen
Chongqing University of Posts and Telecommunications
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Puntos clave
Passivity-based control effectively regulates nonlinear system behavior, showing significant adaptive capabilities.
Key evidence includes a demonstration of system stability under varying conditions and partial uncertainty.
The approach incorporates an adaptive neural network and state observer to enhance control effectiveness.
This work highlights a need for further exploration in real-world scenarios, particularly in partially known nonlinear systems.
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Gong et al. (Fri,) studied this question.
synapsesocial.com/papers/69a75f58c6e9836116a2aa9b
https://doi.org/https://doi.org/10.1016/j.chaos.2026.117989
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