Inicio
Explorar
nav.journalClub
Tendencias
Más
Synapse
⌘+K
Synapse
Idioma
Español
Español
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
Guangxi University
JC
Jie Chen
Chongqing University of Posts and Telecommunications
Ver todo
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.
Preguntar a la IA
Mark Helpful
Me gusta
Save
Guardar
Relay
Compartir
Cite This Study
Copy
Gong et al. (Fri,) studied this question.
synapsesocial.com/papers/69a75f58c6e9836116a2aa9b
https://doi.org/https://doi.org/10.1016/j.chaos.2026.117989
Preguntar a la IA
Mark Helpful
Me gusta
Save
Guardar
Relay
Compartir