Back to Search
Start Over
Dynamic surface asymptotic tracking of a class of uncertain nonlinear hysteretic systems using adaptive filters
Dynamic surface asymptotic tracking of a class of uncertain nonlinear hysteretic systems using adaptive filters
- Source :
- Journal of the Franklin Institute. 355:123-140
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- This paper is concerned with the problem of dynamic surface asymptotic tracking for a class of uncertain nonlinear systems preceded by Bouc–Wen type of hysteresis nonlinearity. By introducing the nonlinear filters with a positive time-varying integral function, a novel robust adaptive control algorithm is presented without constructing the hysteresis inverse. Unlike some existing adaptive control schemes for systems with input hysteresis, the proposed controller not only solves the issue of “explosion of complexity” inherent in the recursive procedure, but also produces the asymptotic tracking in spite of input hysteresis and external disturbances. Finally, two simulation examples are presented to confirm the effectiveness of the developed control strategy.
- Subjects :
- Surface (mathematics)
0209 industrial biotechnology
Adaptive control
Computer Networks and Communications
Computer science
Applied Mathematics
Inverse
02 engineering and technology
Function (mathematics)
Adaptive filter
Nonlinear system
Hysteresis
020901 industrial engineering & automation
Control and Systems Engineering
Control theory
Signal Processing
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Subjects
Details
- ISSN :
- 00160032
- Volume :
- 355
- Database :
- OpenAIRE
- Journal :
- Journal of the Franklin Institute
- Accession number :
- edsair.doi...........fad249d8c524a0196fa8a9f0f5328f7c
- Full Text :
- https://doi.org/10.1016/j.jfranklin.2017.11.005