This technical note proposes a robust iterative learning control (ILC) strategy to regulate
iteratively-operated, finite-duration nonrepetitive systems characterized by iteration-varying …

Iterative learning control (ILC) aims to maximize the performance of systems performing
repeated tracking tasks. However, in most existing applications, the motion profile is …

To improve stability and convergence, feedback control is often incorporated with iterative
learning control (ILC), resulting in feedback feed-forward ILC (FFILC). In this paper, a …

Iterative Learning CONTROL ALGORITHMS AND EXPERIMENTAL BENCHMARKING
Iterative Learning Control Algorithms and Experimental Benchmarking Presents key cutting …

This paper considers the problem of iterative learning control (ILC) for a class of nonlinear
systems with random packet dropouts. It is assumed that an ILC scheme is implemented via …

Iterative learning control (ILC) algorithms enable high‐performance control design using
only approximate models of the system. To deal with severe modeling errors, a robustness …

This paper deals with robust iterative learning control design for uncertain single-input-
single-output linear time-invariant systems. The design procedure is based upon solving the …

The classical problem setup of iterative learning control (ILC) is to enforce tracking of a
reference profile specified at all time points in the fixed task duration. The removal of the time …

In this paper, we present a novel Robust Monotonic Convergence (RMC) analysis approach
for finite time interval Iterative Learning Control (ILC) for uncertain systems. For that purpose …

Learning from saved measurement and control data to refine the performance of output
tracking is the core feature of iterative learning control (ILC). Even though this …