An adaptive controller is presented that is able to perform effectively in the presence of nonlinearities and of model uncertainty typical of industrial processes. The controller incorporates a minimum variance part and a caution part. The latter is independent of the estimated model and becomes dom
β¦ LIBER β¦
A MIMO cautious self-tuning controller
β Scribed by Apostolos V. Papadoulis; Spyros A. Svoronos
- Publisher
- American Institute of Chemical Engineers
- Year
- 1989
- Tongue
- English
- Weight
- 592 KB
- Volume
- 35
- Category
- Article
- ISSN
- 0001-1541
No coin nor oath required. For personal study only.
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## Abstract This contribution presents an application of a selfβtuning digital PID controller for process control modelled by __Ξ΄__βmodels. The process is identified by the regression (ARX) model using the recursive leastβsquares method (RLSM) with LD decomposition and applied directional forgettin