By Kevin Warwick, Miroslav Karny, Alena Halouskova
This quantity relies on a seminar keen on complex tools in adaptive keep watch over for business purposes which used to be held in Prague in could 1990 and which introduced jointly specialists within the united kingdom and Czechoslovakia to be able to recommend suggestions to express present and expected difficulties confronted by means of undefined. a couple of contributions have been additionally aimed toward reflecting attainable tendencies within the extra far-off destiny, by way of having a look extensive at extra particular concerns. whereas the papers integrated within the quantity are of a examine or software nature, or 3 is usually used in an educational mode. The facets of adaptive keep watch over thought of are seen from the viewpoint of genuine time implementation and procedure resilience. The ebook is meant for using lecturers within the above fields and to industrialists.
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Extra info for Advanced Methods in Adaptive Control for Industrial Applications
For this reason, we believe that a key direction of future research is tile design of controllers which can incorporate prior plant knowledge. As such prior knowledge is encapsulated in the form of non-linear differential equations, linear discrete4ime representations (as Equation (13)) are unlikely to have a future in this line of research. We believe, therefore, that a model-based approadl is necessary if wc are truly to incorporate prior knowledge in our designs: each controller should contain a complete model of the plant together with uncertainties specified in terms of the physical plant components.
A further difficulty in robust control is tile requirement to address all plants within a given model uncertainty set. This may result in a design which is overly conservative for the actual plant uncertainty likely to bc encounted. One way of dealing with this issue using a fixed robust design is to explicitly model the plant uncertainty using structured perturbations (Doyle, 1982). In adaptive control, on the other hand, a plant model is estimated and the control synthesis proceeds as if this model wcrc a truc representation of the plant.
We felt the need for an i n t e g r a t e d r e l i a b l e software support even if we have not been perfectly convinccd of a possibility of its final realization. 2 Flatness control Flatness or profile control is another interesting control task concerning rolling, especially rolling of a wide, thin strip. This problem can be theoretically solved by the same approach mentioned in the preceding section. But unlike the thickness control the necessary sensors of which make now no technical problems at all, the cornerstone of the flatness control seems to be the flatness or profile sensor.