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- Title
Observer-based neural control for MIMO pure-feedback non-linear systems with input saturation and disturbances.
- Authors
Wenhui Liu; Junwei Lu; Zhengqiang Zhang; Shengyuan Xu
- Abstract
This study considers the adaptive neural backstepping control for multiple-input and multiple-output pure-feedback systems subject to input saturation and disturbances. Neural networks are used to approximate the uncertain non-linear functions without any prior limited conditions. A non-linear disturbance observer and a state observer are constructed to design the output-feedback neural controller. A new coordinate transform is defined to handle the pure-feedback systems in the backstepping procedure. The proposed controller can make sure that all the state trajectories are ultimately bounded in the pure-feedback non-linear systems. An illustrative example is given to show the usefulness of the authors' designed new control method.
- Subjects
MIMO systems; NONLINEAR systems; ARTIFICIAL neural networks; COORDINATE transformations; LINEAR systems
- Publication
IET Control Theory & Applications (Wiley-Blackwell), 2016, Vol 10, Issue 17, p2314
- ISSN
1751-8644
- Publication type
Article
- DOI
10.1049/iet-cta.2016.0789