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Adaptive multi-dimensional Taylor network tracking control for a class of switched nonlinear systems with input nonlinearity.
- Source :
-
Transactions of the Institute of Measurement & Control . Sep2020, Vol. 42 Issue 13, p2482-2491. 10p. - Publication Year :
- 2020
-
Abstract
- In this paper, a multi-dimensional Taylor network (MTN)-based adaptive tracking control approach is proposed for a class of switched nonlinear systems with input nonlinearity. Firstly, the input nonlinearity is assumed to be bounded by a sector interval. Secondly, with the help of MTNs approximating the unknown nonlinear functions, a novel adaptive MTN control scheme has the advantages of low cost, simple structure and real time feature is developed via backstepping technique. It is shown that the tracking error finally converges to a small domain around the origin and all signals in the closed-loop system are bounded. Finally, two examples are given to demonstrate the effectiveness of the proposed control scheme. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 01423312
- Volume :
- 42
- Issue :
- 13
- Database :
- Academic Search Index
- Journal :
- Transactions of the Institute of Measurement & Control
- Publication Type :
- Academic Journal
- Accession number :
- 145035751
- Full Text :
- https://doi.org/10.1177/0142331220916601