Please use this identifier to cite or link to this item:
https://doi.org/10.1109/TNN.2007.899159
Title: | Semiglobal ISpS disturbance attenuation with output tracking via direct adaptive design | Authors: | Ge, S.S. Han, T.-T. |
Keywords: | Adaptive control Disturbance attenuation Input-to-state stability (ISS) Neural network (NN) parametrization Semiglobal solutions |
Issue Date: | Jul-2007 | Citation: | Ge, S.S., Han, T.-T. (2007-07). Semiglobal ISpS disturbance attenuation with output tracking via direct adaptive design. IEEE Transactions on Neural Networks 18 (4) : 1129-1148. ScholarBank@NUS Repository. https://doi.org/10.1109/TNN.2007.899159 | Abstract: | Direct adaptive partial state feedback control is presented to achieve semiglobally input-to-state practically stable (ISpS) disturbance attenuation with output tracking for a class of uncertain time-varying nonlinear systems in which the unmeasured dynamics do not possess a constant disturbance attenuation level (CDAL). Identifying a necessary condition for the existence of a CDAL, direct adaptive neural networks (NNs) control is developed, where the universal approximation property of NNs and the domination design are employed together to overcome the difficulties due to the lack of state information, unknown system nonlinearities, and unknown state-dependent disturbance attenuation gain. The proposed method is coherent in the sense that it is applicable to the case in which a CDAL exists. © 2007 IEEE. | Source Title: | IEEE Transactions on Neural Networks | URI: | http://scholarbank.nus.edu.sg/handle/10635/51034 | ISSN: | 10459227 | DOI: | 10.1109/TNN.2007.899159 |
Appears in Collections: | Staff Publications |
Show full item record
Files in This Item:
There are no files associated with this item.
SCOPUSTM
Citations
20
checked on Jan 30, 2023
WEB OF SCIENCETM
Citations
18
checked on Jan 30, 2023
Page view(s)
156
checked on Feb 2, 2023
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.