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Adaptive Robust Observer Design For A Class Of Uncertain Nonlinear Systems
2007
2007 International Conference on Mechatronics and Automation
In this paper a adaptive predictive observer design methodology for a class of uncertain nonlinear systems in the presence of unknown nonlinearity and bounded disturbances is proposed. At first, the tracking error is approximated in the receding horizon by its Taylor series expansion. Then an analytic solution to the predictive algorithm is developed and a predictive observer is proposed. The gain vector of observer between any gain vector that satisfies stability conditions, optimally chosen
doi:10.1109/icma.2007.4304174
fatcat:36davx2k55gtxeaima5otel7k4