Two updating schemes of iterative learning control for networked control systems with random data dropouts

The iterative learning control (ILC) problem is addressed in this paper for stochastic linear systems with random data dropout modeled by a Bernoulli random variable. Both intermittent updating scheme and successive updating scheme are provided on the basis of the available tracking information only and shown to be convergent to the desired input almost certainly. In the intermittent updating scheme, the algorithm only updates its control signal when data is successfully transmitted. In the successive updating scheme, the algorithm continuously updates its control signal with the latest available data in each iteration whether the output information of the last iteration is successfully transmitted or lost. Illustrative simulations verify the convergence and effectiveness of the proposed algorithms.

[1]  Tong Duy Son,et al.  Robust Monotonic Convergent Iterative Learning Control , 2016, IEEE Transactions on Automatic Control.

[2]  Wei Zhang,et al.  Iterative Learning Control for discrete nonlinear systems with randomly iteration varying lengths , 2016, Syst. Control. Lett..

[3]  Jian Liu,et al.  Networked iterative learning control approach for nonlinear systems with random communication delay , 2016, Int. J. Syst. Sci..

[4]  Dong Shen,et al.  Survey on stochastic iterative learning control , 2014 .

[5]  Jun Wu,et al.  Iterative Learning Control for Remote Control Systems with Communication Delay and Data Dropout , 2012 .

[6]  YangQuan Chen,et al.  Intermittent iterative learning control , 2006, 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control.

[7]  Miroslav Krstic,et al.  Iterative learning control based on extremum seeking , 2016, Autom..

[8]  Kevin L. Moore,et al.  Learning to cooperate: Networks of formation agents with switching topologies , 2016, Autom..

[9]  Wojciech Paszke,et al.  Robust iterative learning control for batch processes with input delay subject to time-varying uncertainties , 2016 .

[10]  Kevin L. Moore,et al.  Stability of discrete-time iterative learning control with random data dropouts and delayed controlled signals in networked control systems , 2008, 2008 10th International Conference on Control, Automation, Robotics and Vision.

[11]  Mingxuan Sun,et al.  An iterative learning controller with initial state learning , 1999, IEEE Trans. Autom. Control..

[12]  Wei Zhang,et al.  On almost sure and mean square convergence of P-type ILC under randomly varying iteration lengths , 2016, Autom..

[13]  Yong Fang,et al.  Convergence Analysis of Wireless Remote Iterative Learning Control Systems with Dropout Compensation , 2013 .

[14]  Emre Kural,et al.  96 A Survey of Iterative Learning Control Al earning-based method for high-performance tracking control , 2006 .

[15]  Deyuan Meng,et al.  Data-driven consensus control for networked agents: an iterative learning control-motivated approach , 2015 .

[16]  Xuefang Li,et al.  Precise Speed Tracking Control of a Robotic Fish Via Iterative Learning Control , 2016, IEEE Transactions on Industrial Electronics.

[17]  Santosh Devasia,et al.  Iterative learning control with time-partitioned update for collaborative output tracking , 2016, Autom..

[18]  Xuhui Bu,et al.  H∞ iterative learning controller design for a class of discrete-time systems with data dropouts , 2014, Int. J. Syst. Sci..

[19]  Norbert Zsiga,et al.  A new method for analysis and design of iterative learning control algorithms in the time-domain , 2016 .

[20]  Weihai Chen,et al.  A Robust Adaptive Iterative Learning Control for Trajectory Tracking of Permanent-Magnet Spherical Actuator , 2016, IEEE Transactions on Industrial Electronics.

[21]  Xuhui Bu,et al.  Stability of first and high order iterative learning control with data dropouts , 2011 .

[22]  Krzysztof Patan.  Iterative Learning Control , 2019 .

[23]  Han-Fu Chen.  Stochastic approximation and its applications , 2002 .

[24]  Kevin L. Moore,et al.  Discrete-time Intermittent Iterative Learning Controller with Independent Data Dropouts , 2008 .

[25]  Dong Shen,et al.  Iterative learning control for discrete-time stochastic systems with quantized information , 2016, IEEE/CAA Journal of Automatica Sinica.

[26]  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).

[27]  Chongzhao Han,et al.  Multiple Maneuvering Target Tracking by Improved Particle Filter Based on Multiscan JPDA , 2012 .

[28]  Samer S. Saab,et al.  A discrete-time stochastic learning control algorithm , 2001, IEEE Trans. Autom. Control..

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

[30]  Miao Yu,et al.  A high-order internal model based iterative learning control scheme for discrete linear time-varying systems , 2015, Int. J. Autom. Comput..

[31]  Eric Rogers,et al.  Iterative learning control applied to a non-linear vortex panel model for improved aerodynamic load performance of wind turbines with smart rotors , 2016, Int. J. Control.

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

[33]  Donghua Zhou,et al.  Average dwell time-based optimal iterative learning control for multi-phase batch processes , 2016 .

[34]  H. Teicher,et al.  Probability theory: Independence, interchangeability, martingales , 1978 .

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

[36]  Xinghuo Yu,et al.  Iterative learning control for discrete-time systems with event-triggered transmission strategy and quantization , 2016, Autom..

[37]  Tom Oomen,et al.  Optimality and flexibility in Iterative Learning Control for varying tasks , 2016, Autom..

[38]  Ya-Jun Pan,et al.  Effects of network communications on a class of learning controlled non-linear systems , 2009, Int. J. Syst. Sci..

[39]  Jianxin Xu,et al.  Robust iterative learning control for systems with norm‐bounded uncertainties , 2016 .

[40]  A.G. Alleyne,et al.  A survey of iterative learning control , 2006, IEEE Control Systems.

[41]  Yun-Shan Wei,et al.  Iterative learning control for linear discrete-time systems with high relative degree under initial state vibration , 2016 .

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

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

[44]  Junmin Li,et al.  Distributed adaptive fuzzy iterative learning control of coordination problems for higher order multi-agent systems , 2016, Int. J. Syst. Sci..

[45]  Junping Du,et al.  High‐precision formation control of nonlinear multi‐agent systems with switching topologies: A learning approach , 2015 .

[46]  Xuhui Bu,et al.  Iterative learning control for a class of nonlinear systems with random packet losses , 2013 .

[47]  Bu Xuhui,et al.  Iterative learning control for discrete-time systems with quantised measurements , 2015 .