Frequency domain convergence conditions for Current Iteration Tracking Error (CITE) Iterative Learning Control (ILC) algorithms are presented. The convergence conditions together with a discrete-time version of Bodes integral theorem imply a strong restriction upon the kind of systems that can be controlled using a CITE ILC algorithm. The restriction is caused by the fact that the filter in the ILC algorithm has to be causal and and part of a closed loop system that has to be stable
Iterative learning control (ILC) is an approach to improve the performance of a system that repeats ...
Some implementation aspects of Iterative Learning Control (ILC) are considered. Since the ILC algori...
Many schemes of iterative learning control (ILC) have been developed for continuous-time, non-linear...
Time and frequency domain convergence properties of causal and Current Iteration Tracking Error (CIT...
Some fundamental limitations of causal and Current Iteration Tracking Error (CITE) discrete time Ite...
Frequency domain convergence conditions for Current Iteration Track-ing Error (CITE) Iterative Learn...
We derive frequency-domain criteria for the convergence of linear iterative learning control (ILC) o...
Transient growth is a problem in Iterative Learning Control (ILC) in which the tracking error tempor...
Stability theorems for an adaptive iterative learning control (ILC) system are motivated and describ...
Iterative learning control (ILC) involves a trade-off between perfect, fast attenuation of iteration...
An introduction to Iterative Learning Control (ILC) is given. The basic principle behind ILC in both...
For systems that perform repetitive tasks, a high performance feedforward signal can be derived usin...
\u3cp\u3eIterative learning control (ILC) is an efficient way of improving the tracking performance ...
An Iterative Learning Control disturbance rejection approach is considered and it is shown that iter...
Boundary effects in iterative learning control (ILC) algorithms are considered in this article. ILC ...
Iterative learning control (ILC) is an approach to improve the performance of a system that repeats ...
Some implementation aspects of Iterative Learning Control (ILC) are considered. Since the ILC algori...
Many schemes of iterative learning control (ILC) have been developed for continuous-time, non-linear...
Time and frequency domain convergence properties of causal and Current Iteration Tracking Error (CIT...
Some fundamental limitations of causal and Current Iteration Tracking Error (CITE) discrete time Ite...
Frequency domain convergence conditions for Current Iteration Track-ing Error (CITE) Iterative Learn...
We derive frequency-domain criteria for the convergence of linear iterative learning control (ILC) o...
Transient growth is a problem in Iterative Learning Control (ILC) in which the tracking error tempor...
Stability theorems for an adaptive iterative learning control (ILC) system are motivated and describ...
Iterative learning control (ILC) involves a trade-off between perfect, fast attenuation of iteration...
An introduction to Iterative Learning Control (ILC) is given. The basic principle behind ILC in both...
For systems that perform repetitive tasks, a high performance feedforward signal can be derived usin...
\u3cp\u3eIterative learning control (ILC) is an efficient way of improving the tracking performance ...
An Iterative Learning Control disturbance rejection approach is considered and it is shown that iter...
Boundary effects in iterative learning control (ILC) algorithms are considered in this article. ILC ...
Iterative learning control (ILC) is an approach to improve the performance of a system that repeats ...
Some implementation aspects of Iterative Learning Control (ILC) are considered. Since the ILC algori...
Many schemes of iterative learning control (ILC) have been developed for continuous-time, non-linear...