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Noise-Tolerant ZNN-Based Data-Driven Iterative Learning Control for Discrete Nonaffine Nonlinear MIMO Repetitive Systems: 《IEEE/CAA Journal of Automatica Sinica》2024年第2期344-361,共18页Yunfeng Hu Chong Zhang Bo Wang Jing Zhao Xun Gong Jinwu Gao Hong Chen; supported by the National Natural Science Foundation of China(U21A20166);in part by the Science and Technology Development Foundation of Jilin Province (20230508095RC);in part by the Development and Reform Commission Foundation of Jilin Province (2023C034-3);in part by the Exploration Foundation of State Key Laboratory of Automotive Simulation and Control。; Aiming at the tracking problem of a class of discrete nonaffine nonlinear multi-input multi-output(MIMO) repetitive systems subjected to separable and nonseparable disturbances, a novel data-driven iterative learning ...; 关键词：Adaptive control control system synthesis data-driven iterative learning control neurocontroller nonlinear discrete time systems

Data-Driven Learning Control Algorithms for Unachievable Tracking Problems被引量：1: 《IEEE/CAA Journal of Automatica Sinica》2024年第1期205-218,共14页Zeyi Zhang Hao Jiang Dong Shen Samer S.Saab; supported by the National Natural Science Foundation of China (62173333, 12271522);Beijing Natural Science Foundation (Z210002);the Research Fund of Renmin University of China (2021030187)。; For unachievable tracking problems, where the system output cannot precisely track a given reference, achieving the best possible approximation for the reference trajectory becomes the objective. This study aims to in...; 关键词：Data-driven algorithms incomplete information iterative learning control gradient information unachievable problems

Fundamental Trackability Problems for Iterative Learning Control: 《IEEE/CAA Journal of Automatica Sinica》2023年第10期1933-1950,共18页Deyuan Meng Jingyao Zhang; supported in part by the National Natural Science Foundation of China (62273018);in part by the Science and Technology on Space Intelligent Control Laboratory (HTKJ2022KL502006)。; Generally, the classic iterative learning control(ILC)methods focus on finding design conditions for repetitive systems to achieve the perfect tracking of any specified trajectory,whereas they ignore a fundamental pro...; 关键词：CONVERGENCE functional Cauchy sequence(FCS) iterative learning control(ILC) trackability

Enhancing Iterative Learning Control With Fractional Power Update Law被引量：1: 《IEEE/CAA Journal of Automatica Sinica》2023年第5期1137-1149,共13页Zihan Li Dong Shen Xinghuo Yu; supported by the National Natural Science Foundation of China(62173333);Australian Research Council Discovery Program(DP200101199)。; The P-type update law has been the mainstream technique used in iterative learning control(ILC)systems,which resembles linear feedback control with asymptotical convergence.In recent years,finite-time control strategi...; 关键词：Asymptotic convergence convergence rate finiteiteration tracking fractional power learning rule limit cycles

A PD-Type State-Dependent Riccati Equation With Iterative Learning Augmentation for Mechanical Systems被引量：3: 《IEEE/CAA Journal of Automatica Sinica》2022年第8期1499-1511,共13页Saeed Rafee Nekoo JoséÁngel Acosta Guillermo Heredia Anibal Ollero; supported by the European Commission H2020 Programme under HYFLIERS project contract 779411;AERIAL-CORE project contract number 871479 and the ARTIC(RTI2018-102224-B-I00)project;funded by the Spanish Agencia Estatal de Investigación。; This work proposes a novel proportional-derivative(PD)-type state-dependent Riccati equation(SDRE)approach with iterative learning control(ILC)augmentation.On the one hand,the PD-type control gains could adopt many us...; 关键词：CLOSED-LOOP iterative learning control(ILC) PD-type SDRE SDDRE symmetric

Robust Optimization-Based Iterative Learning Control for Nonlinear Systems With Nonrepetitive Uncertainties被引量：4: 《IEEE/CAA Journal of Automatica Sinica》2021年第5期1001-1014,共14页Deyuan Meng Jingyao Zhang; supported by the National Natural Science Foundation of China(61873013,61922007)。; This paper aims to solve the robust iterative learning control(ILC)problems for nonlinear time-varying systems in the presence of nonrepetitive uncertainties.A new optimization-based method is proposed to design and a...; 关键词：Adaptive iterative learning control(ILC) nonlinear time-varying system robust convergence substochastic matrix

Iterative Learning Control for Distributed Parameter Systems Based on Non-Collocated Sensors and Actuators被引量：4: 《IEEE/CAA Journal of Automatica Sinica》2020年第3期865-871,共7页Jianxiang Zhang Baotong Cui Xisheng Dai Zhengxian Jiang; supported by National Natural Science Foundation of China(61807016);Postgraduate Research and Practice Innovation Program of Jiangsu Province(KYCX18-1859)。; In this paper, an open-loop PD-type iterative learning control(ILC) scheme is first proposed for two kinds of distributed parameter systems(DPSs) which are described by parabolic partial differential equations using n...; 关键词：Actuators distributed PARAMETER system ITERATIVE learning control PD-type ILC scheme sensors

Stochastic Iterative Learning Control With Faded Signals被引量：2: 《IEEE/CAA Journal of Automatica Sinica》2019年第5期1196-1208,共13页Ganggui Qu Dong Shen; supported by the National Natural Science Foundation of China(61673045);the Fundamental Research Funds for the Central Universities(XK1802-4); Stochastic iterative learning control(ILC) is designed for solving the tracking problem of stochastic linear systems through fading channels. Consequently, the signals used in learning control algorithms are faded in ...; 关键词：FADING channels ITERATIVE learning control (ILC) KALMAN filtering mean-square convergence STOCHASTIC systems

Iterative Learning Control With Incomplete Information： A Survey被引量：13: 《IEEE/CAA Journal of Automatica Sinica》2018年第5期885-901,共17页Dong Shen Senior Member IEEE; supported by the National Natural Science Foundation of China(61673045);Beijing Natural Science Foundation(4152040); Abstract--This paper conducts a survey on iterative learn- ing control （ILC） with incomplete information and associated control system design, which is a frontier of the ILC field. The incomplete information, includ...; 关键词：Data dropout data robustness incomplete information iterative learning control(ILC) quantized control sampled control varying lengths

Observer-based Iterative and Repetitive Learning Control for a Class of Nonlinear Systems被引量：4: 《IEEE/CAA Journal of Automatica Sinica》2018年第5期990-998,共9页Sheng Zhu Xuejie Wang Hong Liu; supported by the Third Level of Hangzhou 131 Young Talent Cultivation Plan Funding;2018 Soft Science Research Project of Zhejiang Provincial Science and Technology Department Zhejiang Province Construction and participate in the“The Belt and Road”Technology Innovation Community Path Research(2018C35029); In this paper, both output-feedback iterative learning control(ILC) and repetitive learning control(RLC) schemes are proposed for trajectory tracking of nonlinear systems with state-dependent time-varying uncertaintie...; 关键词：Iterative learning control （ILC） observers repetitive learning control （RLC） time-varying parametrization.

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