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Adaptive observers for unknown general nonlinear systems.

J A Ruiz Vargas¹, E M Hemerly

¹Dept. of Syst. & Control, Technol. Inst. of Aeronaut., Sao Paulo.

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society

|February 5, 2008

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This study introduces a novel nonlinear adaptive observer for unknown systems using linearly parameterized neural networks (LPNNs). It ensures stable state estimation and network weight convergence without strict system assumptions.

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2026-06-19T13:36:09.027557+00:00

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