Adaptive Iterative Learning Control of Switched Nonlinear Discrete-Time Systems With Unmodeled Dynamics

This paper is concerned with the issue of adaptive iterative learning control (AILC) for single-input, single-output (SISO), switched nonlinear discrete-time systems with unmodeled dynamics and stochastic measurement noise. Under the random switching rule, the nonlinear subsystem is estimated by a l...

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Autori principali:	Yan Geng, Xiaoe Ruan, Jinhu Xu
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2019-01-01
Serie:	IEEE Access
Soggetti:	Adaptive iterative learning control switched nonlinear systems mathematical expectation covariance matrix
Accesso online:	https://ieeexplore.ieee.org/document/8808855/
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