An open-closed-loop iterative learning control approach for nonlinear switched systems with application to freeway traffic control

DOI10.1080/00207721.2017.1346153zbMath1386.93146OpenAlexW2736133054MaRDI QIDQ4600020

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Publication date: 5 January 2018

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2017.1346153

zbMATH Keywords

input constraintsiterative learning control (ILC)freeway trafficnonlinear switched discrete-time systems

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Nonlinear systems in control theory (93C10) Traffic problems in operations research (90B20) Control/observation systems governed by functional relations other than differential equations (such as hybrid and switching systems) (93C30)

Related Items (5)

Adaptive tracking control for output-constrained switched MIMO pure-feedback nonlinear systems with input saturation ⋮ Iterative learning control for linear discrete-time systems with randomly variable input trail length ⋮ AFD-based ILC designs in frequency domain for linear discrete-time systems ⋮ Iterative learning control for 2-D linear discrete Fornasini–Marchesini model with input saturation ⋮ Robust networked ILC for switched nonlinear discrete systems with non-repetitive uncertainties and random data dropouts

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