Abstract
This paper analyzes the convergence of iterative learning control for a class of discrete-time systems over networks with successive input data compensation. Specifically, the successively dropped input data in current iterations are compensated by the one actuator received correctly with the same time instant label in the latest iteration. Through analyzing the variation of elements in the transition matrices of the input errors at the controller side, the convergence of output errors is addressed. The analysis shows the selection range of learning gain is determined by the maximum number of input data dropped successively. Moreover, the convergence of system with successive input data compensation is guaranteed by trading the convergence speed, and the more input data are successively compensated in iteration domain, the more convergence speed of the system is reduced. Finally, numerical experiments are given to corroborate the theoretical analysis.
Highlights
Due to fast development of communication and network techniques, research on analysis and design of systems controlled over communication networks has attracted much attentions
SIMULATION RESULTS some numerical results are given to corroborate the theoretical analysis about convergence speed of networked iterative learning control (ILC) systems with successive input data compensation
The mean of output errors is used to demonstrate the convergence of ILC systems with successive input data compensation, and three data dropout cases are simulated, that is, α = 6%, 12% and 18%
Summary
Due to fast development of communication and network techniques, research on analysis and design of systems controlled over communication networks has attracted much attentions. In [30], the authors discussed ILC under general data dropouts at both measurement and actuator sides for different systems In these papers, a simple compensation mechanism was proposed which allows successive data dropouts in both time and iteration domains, while this mechanism needed the input data that the actuator received to be transmitted with output data to the controller simultaneously. A simple compensation mechanism was proposed which allows successive data dropouts in both time and iteration domains, while this mechanism needed the input data that the actuator received to be transmitted with output data to the controller simultaneously Based on these works about the convergence of ILC systems with data dropouts, some results could be summarized and listed as follows:.
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