This paper provides an overview of the recent developments in data-based techniques
focused on modern industrial applications. As one of the hottest research topics for …

This chapter reviews the challenges for the extension of the Input-to-State Stability (ISS)
property for systems described by Partial Differential Equations (PDEs). The methodologies …

Iterative learning control (ILC) is a high performance control scenario that is widely applied
to systems that repeat a given task or operation defined over a finite duration, and has been …

This paper proposes a distributed model free adaptive iterative learning control (MFAILC)
method for a class of unknown nonlinear multiagent systems to perform consensus tracking …

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

In this brief, we develop a novel iterative learning control (ILC) algorithm to deal with
trajectory tracking problems for a class of unicycle-type mobile robots with two actuated …

This article investigates the problem of event-triggered model-free adaptive iterative learning
control (MFAILC) for a class of nonlinear systems over fading channels. The fading …

In this work, by proposing a Barrier Composite Energy Function (BCEF) method with a novel
Barrier Lyapunov Function (BLF), we present a new iterative learning control (ILC) scheme …

Most perimeter control methods in literature are the model-based schemes designing the
controller based on the available accurate macroscopic fundamental diagram (MFD) …

Iterative learning control (ILC) is suitable for systems that are able to repeatedly complete
several tasks over a fixed time interval. Since it was first proposed, ILC has been further …