Neural adaptive control for uncertain nonlinear system with input saturation: State transformation based output feedback-Reference-Cited by-同舟云学术

Neural adaptive control for uncertain nonlinear system with input saturation: State transformation based output feedback

Published:2015-07 Issue: Volume:159 Page:117-125
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Gao Shigen^ORCID,Dong Hairong,Ning Bin,Chen Lei

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference44 articles.

1. Adaptive fuzzy robust output feedback control of nonlinear systems with unknown dead zones based on a small-gain approach;Li;IEEE Trans. Fuzzy Syst.,2014

2. Observer-based adaptive fuzzy backstepping output feedback control of uncertain mimo pure-feedback nonlinear systems;Tong;IEEE Trans. Fuzzy Syst.,2012

3. Adaptive compensation control of the quadrotor helicopter using quantum information technology and disturbance observer;Chen;J. Frankl. Inst.,2014

4. Multiple model-based fault detection and diagnosis for helicopter with actuator faults via quantum information technique;Chen;Proc. Inst. Mech. Eng. Part I: J. Syst. Control Eng.,2014

5. An intelligent self-repairing control for nonlinear mimo systems via adaptive sliding mode control technology;Chen;J. Frankl. Inst.,2014

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