Local Observer for Parameters and for State Variables of Nonlinear Systems

2023 AMERICAN CONTROL CONFERENCE, ACC(2023)

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摘要
We provide new observer designs to simultaneously identify parameters and states of systems whose non-linearities have order two near the origin, which include cubic terms arising in the study of jump phenomena, process control, and bistable models of aerospace systems. This yields local exponential convergence of the state estimation error to zero, basin of attraction estimates, and fixed time parameter identification. We illustrate our result using Duffing's equation, whose cubic term puts it outside the scope of prior methods.
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