Data‐based iterative learning mechanism for unknown input‐output coupling parameters/matrices

[1]  Lei Guo,et al.  Least-squares identification for ARMAX models without the positive real condition , 1989 .

[2]  Birgit Jacob,et al.  Optimal Control and Observation Locations for Time-Varying Systems on a Finite-Time Horizon , 2016, SIAM J. Control. Optim..

[3]  Z. Bien,et al.  Intervalized iterative learning control for monotonic convergence in the sense of sup-norm , 2005 .

[4]  Jian Liu,et al.  Synchronous-substitution-type iterative learning control for discrete-time networked control systems with Bernoulli-type stochastic packet dropouts , 2018, IMA J. Math. Control. Inf..

[5]  Dong Shen,et al.  Iterative Learning Control With Unknown Control Direction: A Novel Data-Based Approach , 2011, IEEE Transactions on Neural Networks.

[6]  Jianxin Xu,et al.  Iterative learning control for nonlinear dynamic systems with randomly varying trial lengths , 2015 .

[7]  Sulan Li,et al.  Bipartite Consensus in Networks of Agents With Antagonistic Interactions and Quantization , 2018, IEEE Transactions on Circuits and Systems II: Express Briefs.

[8]  Thomas Seel,et al.  The adaptive drop foot stimulator - Multivariable learning control of foot pitch and roll motion in paretic gait. , 2016, Medical engineering & physics.

[9]  Ping Jiang,et al.  Adaptive Iterative Learning Control for Nonlinear Systems with Unknown Control Gain , 2004 .

[10]  Dong Shen,et al.  A Novel Markov Chain Based ILC Analysis for Linear Stochastic Systems Under General Data Dropouts Environments , 2017, IEEE Transactions on Automatic Control.

[11]  Feng Ding,et al.  Hierarchical gradient-based identification of multivariable discrete-time systems , 2005, Autom..

[12]  Xuhui Bu,et al.  Adaptive Iterative Learning Control for Linear Systems With Binary-Valued Observations , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[13]  Jian Liu,et al.  Convergence properties of two networked iterative learning control schemes for discrete-time systems with random packet dropout , 2018, Int. J. Syst. Sci..

[14]  R. Nussbaum Some remarks on a conjecture in parameter adaptive control , 1983 .

[15]  Joko Sarwono,et al.  DSP Implementation of Combined FIR-Functional Link Neural Network for Active Noise Control , 2014 .

[16]  Bu Xuhui,et al.  An iterative learning control design approach for networked control systems with data dropouts , 2016 .

[17]  Shangtai Jin,et al.  Computationally Efficient Data-Driven Higher Order Optimal Iterative Learning Control , 2018, IEEE Transactions on Neural Networks and Learning Systems.

[18]  S. Preitl,et al.  Design and Experiments for a Class of Fuzzy Controlled Servo Systems , 2008, IEEE/ASME Transactions on Mechatronics.

[19]  Kevin L. Moore,et al.  Iterative Learning Control: Brief Survey and Categorization , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[20]  Zhili Chen,et al.  China's Science Education , 2003 .

[21]  Rui Yan,et al.  Iterative learning control design without a priori knowledge of the control direction , 2004, Autom..

[22]  Han-Fu Chen,et al.  Output tracking for nonlinear stochastic systems by iterative learning control , 2004, IEEE Transactions on Automatic Control.

[23]  Xuhui Bu,et al.  Model Free Adaptive Iterative Learning Consensus Tracking Control for a Class of Nonlinear Multiagent Systems , 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[24]  Hidenori Kimura,et al.  Time domain identification for robust control , 1993 .

[25]  Le Yi Wang,et al.  Asymptotically efficient identification of FIR systems with quantized observations and general quantized inputs , 2015, Autom..

[26]  Boutaieb Dahhou,et al.  Application of iterative learning control to an exothermic semibatch chemical reactor , 2002, IEEE Trans. Control. Syst. Technol..

[27]  Xu Jin Iterative learning control for output‐constrained nonlinear systems with input quantization and actuator faults , 2018 .

[28]  In-Joong Ha,et al.  A learning approach to precision speed control of servomotors and its application to a VCR , 1999, IEEE Trans. Control. Syst. Technol..

[29]  Dong Shen,et al.  Distributed learning consensus control based on neural networks for heterogeneous nonlinear multiagent systems , 2019, International Journal of Robust and Nonlinear Control.

[30]  Long Wang,et al.  Consensus of Hybrid Multi-Agent Systems , 2015, IEEE Transactions on Neural Networks and Learning Systems.

[31]  Dong Shen,et al.  ILC for networked nonlinear systems with unknown control direction through random Lossy channel , 2015, Syst. Control. Lett..

[32]  Dong Shen,et al.  Iterative learning control for networked stochastic systems with random packet losses , 2014, Int. J. Control.

[33]  Kevin L. Moore,et al.  Iterative learning control and repetitive control in hard disk drive industry—A tutorial , 2008 .

[34]  Maojiao Ye,et al.  Consensus analysis of hybrid multiagent systems: A game‐theoretic approach , 2019, International Journal of Robust and Nonlinear Control.

[35]  Jian Liu,et al.  Iterative learning control for uncertain nonlinear networked control systems with random packet dropout , 2019, International Journal of Robust and Nonlinear Control.

[36]  Weisheng Chen,et al.  Global finite-time adaptive stabilization for nonlinear systems with multiple unknown control directions , 2016, Autom..

[37]  Chek Sing Teo,et al.  Dynamic Geometric Compensation for Gantry Stage using Iterative Learning Control , 2006, IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics.

[38]  Kevin L. Moore,et al.  Robust Iterative Learning Control for Nonrepetitive Uncertain Systems , 2017, IEEE Transactions on Automatic Control.

[39]  Jian Liu,et al.  Iterative learning control for a class of uncertain nonlinear systems with current state feedback , 2019, Int. J. Syst. Sci..

[40]  Suguru Arimoto,et al.  Bettering operation of Robots by learning , 1984, J. Field Robotics.