logo

SCIENCE CHINA Information Sciences, Volume 63 , Issue 5 : 159208(2020) https://doi.org/10.1007/s11432-018-9882-6

Quasi-Newton method based control design for unknown nonlinear systems with input constraints

More info
  • ReceivedDec 21, 2018
  • AcceptedApr 23, 2019
  • PublishedMar 13, 2020

Abstract

There is no abstract available for this article.


Acknowledgment

This work was supported by National Natural Science Foundation of China (Grant Nos. 61433002, 61833001), Beijing Natural Science Foundation (Grant No. L161007), and Fundamental Research Funds for the Central University (Grant No. 2018JBZ006).


Supplement

Appendixes A–C.


References

[1] Powell M J D. On the Convergence of the Variable Metric Algorithm. IMA J Appl Math, 1971, 7: 21-36 CrossRef Google Scholar

[2] Shimizu K, Ito S. Constrained optimization in Hilbert space and a generalized dual quasi-Newton algorithm for state-constrained optimal control problems. IEEE Trans Automat Contr, 1994, 39: 982-986 CrossRef Google Scholar

[3] Xu G, Shao C, Han Y. New quasi-Newton iterative learning control scheme based on rank-one update for nonlinear systems. J Supercomput, 2014, 67: 653-670 CrossRef Google Scholar

[4] Geng Y, Ruan X. Quasi-Newton-type optimized iterative learning control for discrete linear time invariant systems. Control Theor Technol, 2015, 13: 256-265 CrossRef Google Scholar

[5] Tao H, Paszke W, Rogers E. Modified Newton method based iterative learning control design for discrete nonlinear systems with constraints. Syst Control Lett, 2018, 118: 35-43 CrossRef Google Scholar

[6] Ohtsuka T. Quasi-Newton-Type Continuation Method for Nonlinear Receding Horizon Control. J Guidance Control Dyn, 2002, 25: 685-692 CrossRef ADS Google Scholar

[7] Zhongsheng Hou , Shangtai Jin . Data-driven model-free adaptive control for a class of MIMO nonlinear discrete-time systems.. IEEE Trans Neural Netw, 2011, 22: 2173-2188 CrossRef PubMed Google Scholar

[8] Bu X, Wang Q, Hou Z. Data driven control for a class of nonlinear systems with output saturation.. ISA Trans, 2018, 81: 1-7 CrossRef PubMed Google Scholar

[9] Hou Z S, Jin S T. Model Free Adaptive Control: Theory and Applications. Boca Raton: CRC Press, 2013. Google Scholar

Copyright 2020  CHINA SCIENCE PUBLISHING & MEDIA LTD.  中国科技出版传媒股份有限公司  版权所有

京ICP备14028887号-23       京公网安备11010102003388号