@article{Gaw87b,
author = {Gawthrop, P. J.},
title = {Robust stability of a continuous-time self-tuning controller},
journal = {International Journal of Adaptive Control and Signal Processing},
volume = 1,
number = 1,
publisher = {Wiley Subscription Services, Inc., A Wiley Company},
issn = {1099-1115},
doi = {10.1002/acs.4480010104},
pages = {31--48},
keywords = {Self-tuning, Adaptive, Stability, Robustness},
year = 1987,
abstract = {A continuous-time self-tuning controller, based on the well-known discrete-time generalized minimum-variance self-tuning controller, is introduced. Using input—output stability methods, frequency domain conditions are derived which ensure L∞ stability in the face of multiplicative process perturbations. The analysis is illustrated using an example of Rohrs et al.}
}
@article{LeaGaw87,
author = {Leary, J.J. and Gawthrop, P.J.},
cscauthor = {pjg},
journal = {Control Theory and Applications, IEE Proceedings D},
title = {Process fault detection using constraint suspension},
year = {1987},
month = {july },
volume = {134},
number = {4},
pages = {264 -271},
abstract = {In the paper the authors describe two tools for use in an intelligent fault-detection system. The first tool is a method for fault localisation, called constraint suspension, which helps us find and identify the parts suspension, which helps us find and identify the parts of the process which are responsible for any inconsistencies in the measurements. The second tool gives us a flexible framework in which we can build a software model of the process in terms of hierarchies of component parts or objects, it is called object orientation. We use these tools to describe algorithms for automatic fault detection in a physical process plant. The algorithms are tested on a simulation of a liquid level control system.},
keywords = {constraint suspension;fault detection;intelligent fault-detection system;liquid level control system;object orientation;parts suspension;process control;software model;control system analysis;fault location;level control;process computer control;},
doi = {10.1049/ip-d:19870044},
issn = {0143-7054}
}
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