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An input-output based robust stabilization criterion for neural-network control of nonlinear systems
J Fernández de Cañete1, A Barreiro, A García-Cerezo
1Departmento de Ingenería de Sistemas y Automatica, ETSI Industriales, Universidad de Málaga, Málaga 29071, Spain. canete@ctima.uma.es
A new neural control method ensures system stability by adjusting controller dynamics and modifying training data. This approach enhances control for nonlinear systems with unknown dynamics, offering a simpler alternative to Lyapunov methods.
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2026-06-19T13:36:08.626529+00:00
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