$L_{\infty}$ Bounds for Transient Growth in Repetitive and Iterative Learning Control Systems

Συγγραφείς: Bristow, Douglas A., Singler, John R.

Πηγή: 2024 American Control Conference (ACC) American Control Conference (ACC), 2024. :4831-4837 Jul, 2024

Relation: 2024 American Control Conference (ACC)

A Multistage Update Rule Framework for Iterative Learning Control Systems

Συγγραφείς: Li, Z., Shen, D., Yu, X.

Πηγή: IEEE Transactions on Automation Science and Engineering IEEE Trans. Automat. Sci. Eng. Automation Science and Engineering, IEEE Transactions on. 22:1697-1713 2025

Anti-windup compensation for a class of iterative learning control systems subject to actuator saturation

Συγγραφείς: Turner, Matthew C., Rogers, Eric, Sofrony, Jorge

Πηγή: 2023 American Control Conference (ACC) American Control Conference (ACC), 2023. :2141-2146 May, 2023

Relation: 2023 American Control Conference (ACC)

Method for predicting the lost input of iterative learning control systems over AWGN channels

Συγγραφείς: Lixun Huang, Huan Wang, Lijun Sun, Tianfei Chen, Qiuwen Zhang, Weihua Liu, Yuanyuan Zhang

Πηγή: Journal of Difference Equations and Applications. 30:1885-1899

Optimal state filters for networked iterative learning control systems with data losses and noises

Συγγραφείς: Xinyang Guo, Lixun Huang, Lijun Sun, Weihua Liu, Zhe Zhang, Qiuwen Zhang

Πηγή: International Journal of Adaptive Control and Signal Processing. 38:1528-1542

Θεματικοί όροι: noise, 0209 industrial biotechnology, convergence, Iterative learning control, system state, optimal filtering, 0202 electrical engineering, electronic engineering, information engineering, iterative learning control, 02 engineering and technology, Filtering in stochastic control theory, data loss

Περιγραφή αρχείου: application/xml

Impact of Measurement Noise on Networked Iterative Learning Control Systems

Συγγραφείς: Zhang, Yamiao, Liu, Jian, Ruan, Xiaoe

Πηγή: 2019 Chinese Control Conference (CCC) Control Conference (CCC), 2019 Chinese. :2398-2403 Jul, 2019

Relation: 2019 Chinese Control Conference (CCC)

Input predictors for networked iterative learning control systems with data dropouts and time delays

Συγγραφείς: Lixun Huang, Lijun Sun, Tianfei Chen, Qiuwen Zhang, Linlin Huo, Weihua Liu

Πηγή: Journal of Intelligent & Fuzzy Systems. 45:3333-3344

Θεματικοί όροι: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Learning-Ability of Discrete-Time Iterative Learning Control Systems with Feedforward: Learning-ability of discrete-time iterative learning control systems with feedforward

Συγγραφείς: Jian Liu 0016, Xiaoe Ruan, Yuanshi Zheng, Yingmin Yi, Congsi Wang

Πηγή: SIAM Journal on Control and Optimization. 61:543-559

Θεματικοί όροι: Discrete-time control/observation systems, output realizability, Iterative learning control, convergence performance, discrete-time systems, learning-ability, iterative learning control, Feedback control

Περιγραφή αρχείου: application/xml

Σύνδεσμος πρόσβασης: https://zbmath.org/7679114
https://doi.org/10.1137/22m1477258

Convergence Analysis of Saturated Iterative Learning Control Systems With Locally Lipschitz Nonlinearities

Συγγραφείς: Zhang, J., Meng, D.

Πηγή: IEEE Transactions on Neural Networks and Learning Systems IEEE Trans. Neural Netw. Learning Syst. Neural Networks and Learning Systems, IEEE Transactions on. 31(10):4025-4035 Oct, 2020

Convergence Analysis of Iterative Learning Control Systems Over Networks With Successive Input Data Compensation in Iteration Domain

Συγγραφείς: Huang, L., Zhang, Q., Liu, W., Li, J., Sun, L., Wang, T.

Πηγή: IEEE Access Access, IEEE. 7:160217-160226 2019

Spatial Iterative Learning Control: Systems with input saturation

Συγγραφείς: Ljesnjanin, Merid, Tan, Ying, Oetomo, Denny, Freeman, Christopher T.

Πηγή: 2017 American Control Conference (ACC) American Control Conference (ACC), 2017. :5121-5126 May, 2017

Relation: 2017 American Control Conference (ACC)

Overcoming Output Constraints in Iterative Learning Control Systems by Reference Adaptation

Συγγραφείς: Meindl, Michael, Molinari, Fabio, Raisch, Jörg, Seel, Thomas

Πηγή: IFAC-PapersOnLine 53 (2020) 1480-1486

Θεματικοί όροι: Electrical Engineering and Systems Science - Systems and Control

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2002.00662

Optimal input filtering for networked iterative learning control systems with packet dropouts and channel noises in both sides

Συγγραφείς: Lixun Huang, Lijun Sun, Tao Wang, Qiuwen Zhang, Jianyong Li, Zhe Zhang, Weihua Liu

Πηγή: International Journal of Robust and Nonlinear Control. 32:5086-5104

Θεματικοί όροι: data dropout, 0209 industrial biotechnology, convergence, Iterative learning control, optimal filtering, Networked control, 0202 electrical engineering, electronic engineering, information engineering, iterative learning control, 02 engineering and technology, channel noise, Filtering in stochastic control theory

Περιγραφή αρχείου: application/xml

Method to improve convergence performance of iterative learning control systems with bounded noise

Συγγραφείς: Li, Li ^{a, b}, Liu, Yang ^{⁎, a, b}, Yang, Zhile ^c, Tan, Jiubin ^{a, b}

Πηγή: In Journal of the Franklin Institute February 2020 357(3):1644-1670

Optimal input filters for iterative learning control systems with additive noises, random delays, and data dropouts in both channels

Συγγραφείς: Lixun Huang, Lijun Sun, Tao Wang, Weihua Liu, Zhe Zhang, Qiuwen Zhang

Πηγή: Mathematical Methods in the Applied Sciences. 45:4295-4311

Θεματικοί όροι: data dropout, 0209 industrial biotechnology, Iterative learning control, convergence performance, delay, optimal filtering, 0202 electrical engineering, electronic engineering, information engineering, iterative learning control, 02 engineering and technology, additive noise, Filtering in stochastic control theory

Περιγραφή αρχείου: application/xml

Σύνδεσμος πρόσβασης: https://zbmath.org/7780827
https://doi.org/10.1002/mma.8040

Two alternative approaches to stochastic discrete-time iterative learning control systems

Συγγραφείς: Meng, Deyuan, Jia, Yingmin, Du, Junping, Yu, Fashan

Πηγή: 2011 50th IEEE Conference on Decision and Control and European Control Conference Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on. :4035-4040 Dec, 2011

Relation: 2011 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC 2011)

Robustness analysis of slow learning in Iterative Learning Control systems

Συγγραφείς: Bristow, Douglas A., Singler, John R.

Πηγή: Proceedings of the 2011 American Control Conference American Control Conference (ACC), 2011. :3669-3673 Jun, 2011

Relation: 2011 American Control Conference - ACC 2011

Effects of initial input on stochastic discrete-time iterative learning control systems

Συγγραφείς: Meng, D., Jia, Y.

Πηγή: Proceedings of the 29th Chinese Control Conference Control Conference (CCC), 2010 29th Chinese. :2193-2200 Jul, 2010

Relation: 2010 29th Chinese Control Conference (CCC)

Self tuning iterative learning control systems

Συγγραφείς: Madady, A.

Πηγή: 2004 5th Asian Control Conference (IEEE Cat. No.04EX904) Asian control conference Control Conference, 2004. 5th Asian. 3:1786-1792 Vol.3 2004

Relation: 2004 5th Asian Control Conference

An evolutionary based optimisation method for nonlinear iterative learning control systems

Συγγραφείς: Hatzikos, V.E., Owens, D.H., Hatonen, J.

Πηγή: Proceedings of the 2003 American Control Conference, 2003. American control conference American Control Conference, 2003. Proceedings of the 2003. 4:3638-3643 vol.4 2003

Relation: Proceedings of 2003 American Control Conference