SELF-TUNING CONTROL TECHNIQUES WITH APPLICATION TO INDUSTRIAL-SYSTEMS

The paper describes mathematical techniques for enhancing/tailoring op timal estimation and on-line control algorithms for use within the sel f-tuning framework. In particular when dealing with fast acting plant one is compelled to make use of low order model structures and emphasi s placed on enhanced estimation algorithms. Conversely when dealing wi th low bandwidth non-linear systems, significant benefits can be made by tailoring the models to match the identified system non-linearities . By drawing on experience gained from designing and applying self-tun ing techniques to two industrial systems the benefits of the enhanced algorithms are elucidated.