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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8808855/ |