Title:

Iterative learning control - An overview of recent algorithms

Subtitle:

Problems of Control Theory

Group publication title:

AMCS, volume 5 (1995)

Creator:

Owens, David H. ; Amann, Notker ; Rogers, Eric

Subject and Keywords:

sterowanie ; sztuczna inteligencja ; informatyka ; sterowanie-teoria ; matematyka stosowana

Abstract:

Recent results in an important area of Iterative Learning Control are reviewed. Iterative Learning Control is a new control technique for repetitive systems where the controller learns from previous experience. The paper includes a short survey of work in this area and shows new results that extend previous work. All control algorithms use feedback control instead of the feedforward control often used in Iterative Learning Control. Several important aspects as robustness of learning, convergence conditions, convergence types and limitations due to plant properties are addressed.

Publisher:

Zielona Góra: Uniwersytet Zielonogórski

Contributor:

Owens, David H. - ed. ; Skoczowski, Stanisław - ed.

Date:

1995

Resource Type:

artykuł

Pages:

425-438

Source:

AMCS, volume 5, number 3 (1995)

Language:

eng

Rights:

Biblioteka Uniwersytetu Zielonogórskiego