Christopher Greenwell – författare

At the beginning of the new millennium the PID controller continues to be a key component of industrial control. During this century many different structures of control have been proposed to overcome the limitation of the PID controllers. Because of their simplicity and usefulness, they give a very useful solution to an important part of the industrial processes.

The present-day structure of PID controllers is quite different from the original analog PID controllers. Now the implementation of the PID is based on digital design, these digital PIDs include many algorithms such as anti-wind-up, auto-tuning, adaptive, and fuzzy fine tuning to improve their performances, but the basic actions remain the same.

During the last two decades, the general reluctance of researchers to use PID controllers has begun to disappear. Many of the new capabilities of digital PID controllers have been introduced by the research community. The industrial control users apply these innovations easily, even enthusiastically. PID control has become one of the most important ways for the scientific specialist in control and the users of industrial control to work together.

This workshop was organized so that the scientific world and the industrial control world could meet and discuss the present and future use of PID controllers - the successes and failures of their use and how to determine the limits of performances. This workshop was also useful for learning about control history, since the origin and evolution of PID control can provide us with keys for new development and designs.

In control and signal processing, adaptation is a natural tool to cope with real-time changes in the dynamical behaviour of signals and systems. In this area, strongly connected with prediction and identification, there has been an increasing interest in switching and supervising methods. Moreover in recent years, special attention has been paid to the ideas evolving round the theory of statistical learning as a potential tool of improved adaptation.

The IFAC workshop on Adaptation and Learning in Control and Signal Processing in 2001 gathered together experts in the field and interested researchers from universities and industry to present a full picture of the area. This proceedings volume presents papers covering the following subjects: Model reference and predictive control; Multiple model control; Adaptive control I/II; Adaptive control and learning; Learning; Adaptive control of nonlinear systems I/II; Supervisory control; Neural networks for control; PID design methods; Sliding mode; Adaptive filtering and estimation; Identification methods I/II.