Automatica (Journal of IFAC)
Analysis of iterative learning control for a class of nonlinear discrete-time systems
Automatica (Journal of IFAC)
Model-based iterative learning control with a quadratic criterion for time-varying linear systems
Automatica (Journal of IFAC)
Brief Adaptive robust iterative learning control with dead zone scheme
Automatica (Journal of IFAC)
Technical communique: A note on causal and CITE iterative learning control algorithms
Automatica (Journal of IFAC)
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
International Journal of Automation and Computing
Hi-index | 22.15 |
In this work we present a discrete-time adaptive iterative learning control (AILC) scheme to deal with systems with time-varying parametric uncertainties. Using the analogy between the discrete-time axis and the iterative learning axis, the new adaptive ILC can incorporate a Recursive Least Squares (RLS) algorithm, hence the learning gain can be tuned iteratively along the learning axis and pointwisely along the time axis. When the initial states are random and the reference trajectory is iteration-varying, the new AILC can achieve the pointwise convergence over a finite time interval asymptotically along the iterative learning axis.