Iterative learning control: analysis, design, integration and applications
Iterative learning control: analysis, design, integration and applications
Iterative Learning Control: Convergence, Robustness and Applications
Iterative Learning Control: Convergence, Robustness and Applications
Automatica (Journal of IFAC)
Compensation for control packet dropout in networked control systems
Information Sciences: an International Journal
Iterative Learning Control: Robustness and Monotonic Convergence for Interval Systems
Iterative Learning Control: Robustness and Monotonic Convergence for Interval Systems
Effects of network communications on a class of learning controlled non-linear systems
International Journal of Systems Science
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Robust Iterative Learning Control for a Class of Nonlinear Systems
Automatica (Journal of IFAC)
Robust optimal design and convergence properties analysis of iterative learning control approaches
Automatica (Journal of IFAC)
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In this paper, the stability of iterative learning control with data dropouts is discussed. By the super vector formulation, an iterative learning control (ILC) system with data dropouts can be modeled as an asynchronous dynamical system with rate constraints on events in the iteration domain. The stability condition is provided in the form of linear matrix inequalities (LMIS) depending on the stability of asynchronous dynamical systems. The analysis is supported by simulations.