logo

SCIENCE CHINA Information Sciences, Volume 63, Issue 4: 149204(2020) https://doi.org/10.1007/s11432-018-9574-3

Sliding-mode-disturbance-observer-based adaptive neural control of uncertain discrete-time systems

More info
  • ReceivedJun 22, 2018
  • AcceptedAug 3, 2018
  • PublishedSep 12, 2019

Abstract

There is no abstract available for this article.


Acknowledgment

This work was supported by National Natural Science Foundation of China (Grant No. 61573184) and Jiangsu Innovation Program for Graduate Education (Grant No. KYLX16_0375).


References

[1] Abdelatti M, Yuan C Z, Zeng W. Cooperative deterministic learning control for a group of homogeneous nonlinear uncertain robot manipulators. Sci China Inf Sci, 2018, 61: 112201 CrossRef Google Scholar

[2] Gao Y F, Sun X M, Wang W. Decentralized backstepping adaptive output tracking of large-scale stochastic nonlinear systems. Sci China Inf Sci, 2017, 60: 120207 CrossRef Google Scholar

[3] Park G, Shim H. Guaranteeing almost fault-free tracking performance from transient to steady-state: a disturbance observer approach. Sci China Inf Sci, 2018, 61: 070224 CrossRef Google Scholar

[4] Li Y M, Tong S C. Adaptive fuzzy output-feedback stabilization control for a class of switched nonstrict-feedback nonlinear systems.. ieee trans cybern, 2017, 47: 1007-1016 CrossRef PubMed Google Scholar

[5] Liu Y J, Gao Y, Tong S C. A unified approach to adaptive neural control for nonlinear discrete-time systems with nonlinear dead-zone input. IEEE Trans Neural Netw Learning Syst, 2016, 27: 139-150 CrossRef PubMed Google Scholar

[6] Chen M, Shao S Y, Jiang B. Adaptive neural control of uncertain nonlinear systems using disturbance observer. IEEE Trans Cybern, 2017, 47: 3110-3123 CrossRef PubMed Google Scholar

[7] Han J Q, Yuan L L. The discrete form of tracking-differentiator. J Syst Sci Math Sci, 1999, 19: 268--2739. Google Scholar

[8] Zhang Y M, Chamseddine A, Rabbath C A. Development of advanced FDD and FTC techniques with application to an unmanned quadrotor helicopter testbed. J Franklin Institute, 2013, 350: 2396-2422 CrossRef Google Scholar

Copyright 2020 Science China Press Co., Ltd. 《中国科学》杂志社有限责任公司 版权所有

京ICP备18024590号-1