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In this paper, adaptive prescribed performance output feedback dynamic surface control is proposed by introducing a performance function and an output error transformation for a class of nonlinear systems with unmodeled dynamics and unknown high-frequency gain sign. Radial basis function neural networks are used to approximate the unknown nonlinear functions. K-filters are employed to estimate the...
This paper is concerned with the problem of the centralized and decentralized adaptive output feedback control for a class of uncertain interconnected nonlinear systems with unknown dead-zone and prescribed performance. Radial basis function neural networks are used to approximate the unknown nonlinear functions. Decentralized observers are constructed to estimate the unmeasured states of each subsystems...
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