Monotonically convergent iterative learning control for piecewise affine systems

Nard W.A. Strijbosch (Corresponding author), Isaac Spiegel, Kira Barton, Tom A.E. Oomen (Corresponding author)

Research output: Contribution to journalConference articlepeer-review

21 Downloads (Pure)


Piecewise affine (PWA) systems enable modelling of systems that encompass hybrid dynamics and nonlinear effects. The aim of this paper is to develop an ILC framework for PWA systems. A new approach to analyse monotonic convergence is developed for PWA systems. This is achieved by exploiting the incremental ℓ 2-gain leading to sufficient LMI conditions guaranteeing monotonic convergence. An example confirms the monotonic convergence property for ILC applied to a mass-spring-damper system with a one-sided spring.

Original languageEnglish
Pages (from-to)1474-1479
Number of pages6
Issue number2
Publication statusPublished - 2020
Event21st World Congress of the International Federation of Aufomatic Control (IFAC 2020 World Congress) - Berlin, Germany
Duration: 12 Jul 202017 Jul 2020
Conference number: 21


  • Learning Control


Dive into the research topics of 'Monotonically convergent iterative learning control for piecewise affine systems'. Together they form a unique fingerprint.

Cite this