Quasi-Newton method based control design for unknown nonlinear systems with input constraints-Reference-Cited by-同舟云学术

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

Published:2020-03-13 Issue:5 Volume:63 Page:
ISSN:1674-733X
Container-title:Science China Information Sciences
language:en
Short-container-title:Sci. China Inf. Sci.

Author:

Xiong Shuangshuang,Hou Zhongsheng,Yin Chenkun

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

http://link.springer.com/content/pdf/10.1007/s11432-018-9882-6.pdf

Reference9 articles.

1. Powell M J D. On the convergence of the variable metric algorithm. IMA J Appl Math, 1971, 7: 21–36

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 Autom Control, 1994, 39: 982–986

3. 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

4. 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

5. 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

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Model-Free Adaptive Control Design for Unknown Nonlinear Systems with Input Constraints;2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS);2024-05-17

2. Non-parametric Model Adaptive Control Based on Gaussian Process Regression;2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS);2023-05-12

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