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

Xiong, Shuangshuang; Hou, Zhongsheng; Yin, Chenkun

doi:10.1007/s11432-018-9882-6

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

Letter
Published: 13 March 2020

Volume 63, article number 159208, (2020)
Cite this article

Science China Information Sciences Aims and scope Submit manuscript

Shuangshuang Xiong¹,
Zhongsheng Hou^1,2 &
Chenkun Yin¹

103 Accesses
1 Citation
Explore all metrics

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

References

Powell M J D. On the convergence of the variable metric algorithm. IMA J Appl Math, 1971, 7: 21–36
Article MathSciNet Google Scholar
Shimizu K, Ito S. Constrained optimization in Hilbert space and a generalized dual quasi-Newton algorithm for state-constrained optimal control problems. IEEE Trans Autom Control, 1994, 39: 982–986
Article MathSciNet Google Scholar
Xu G W, Shao C, Han Y, et al. New quasi-Newton iterative learning control scheme based on rank-one update for nonlinear systems. J Supercomput, 2014, 67: 653–670
Article Google Scholar
Geng Y, Ruan X E. Quasi-Newton-type optimized iterative learning control for discrete linear time invariant systems. Control Theory Technol, 2015, 13: 256–265
Article MathSciNet Google Scholar
Tao H F, Paszke W, Rogers E, et al. Modified Newton method based iterative learning control design for discrete nonlinear systems with constraints. Syst Control Lett, 2018, 118: 35–43
Article MathSciNet Google Scholar
Ohtsuka T. Quasi-Newton-type continuation method for nonlinear receding horizon control. J Guid Control Dyn, 2002, 25: 685–692
Article Google Scholar
Hou Z S, Jin S T. Data-driven model-free adaptive control for a class of MIMO nonlinear discrete-time systems. IEEE Trans Neural Netw, 2011, 22: 2173–2188
Article Google Scholar
Bu X H, Wang Q F, Hou Z S, et al. Data driven control for a class of nonlinear systems with output saturation. ISA Trans, 2018, 81: 1–7
Article Google Scholar
Hou Z S, Jin S T. Model Free Adaptive Control: Theory and Applications. Boca Raton: CRC Press, 2013
Book Google Scholar

Download references

Acknowledgements

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).

Author information

Authors and Affiliations

Advanced Control Systems Lab, School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, 100044, China
Shuangshuang Xiong, Zhongsheng Hou & Chenkun Yin
School of Automation, Qingdao University, Qingdao, 266071, China
Zhongsheng Hou

Authors

Shuangshuang Xiong
View author publications
You can also search for this author in PubMed Google Scholar
Zhongsheng Hou
View author publications
You can also search for this author in PubMed Google Scholar
Chenkun Yin
View author publications
You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Zhongsheng Hou.

Additional information

Supporting information

Appendixes A–C. The supporting information is available online at info.scichina.com and link.springer.com. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.

Supplementary File