Work Area: Basic Aspects of Multiple Computing Agents
Keywords neural networks, adaptive control, nonlinear control, learning, parameter convergence, stability, optimisation
Start Date: 1 April 1994 / Duration: 36 months / Status: finished
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Abstract The Project aims at a synergy of adaptive control and neural networks. The focus is on delivery of transparent, constructive and engineering oriented design methods resulting from the theory of Neural Adaptive Control Technology (NACT). Emphasis is put on dynamic nonlinear industrial plants and adaptive feedback through neural networks.
The project aims at : the fusion of adaptive control and neural networks into Neural Adaptive Control Technology; the development and consolidation of the theory of NACT; the delivery of transparent and constructive NACT design procedures for engineering systems; and implementations of the resulting multiple computing agent system in industrial practice.
The expected results will have a significant impact on a wide range of industries. The resason for this is that adaptive control is a universal technique dealing with dynamic systems. This means that if a design procedure works in general it will work on a specific real system.
The Project is intended to contribute to the long-term emergence of universal adaptive control technology based on neural networks. The topic chosen is currently believed to offer prospects for working design methods for real-world nonlinear plants. It is unlikely that the Project will result in a "control panacea"; that goal, if at all attainable, is beyond the timescale and resources of the proposal. The scientific and technological output of the Project should, however, be immediately exploitable. The scope of the project coincides with the future interests of a whole range of industries in the trend to ever more efficient and safer high performance control. This cannot be achieved unless nonlinear problems are attacked at their heart by nonlinear adaptive models and/or controllers. The outcomes of the Project will contribute answers to these issues and may be expected to be rapidly assimilated by industry and exploited by it.
Further information about NACT is available from the NACT home page <URL:http://www.mech.gla.ac.uk/~nactftp/nact.html>.
Daimler-Benz AG - D
Alt-Moabit 91 B
D- 10559 BERLIN
University of Glasgow - UK
Prof. K.J. Hunt
tel +49/30 399 82 282
fax +49/30 339 82 107
NACT - 8039, August 1994
please address enquiries to the ESPRIT Information Desk
html version of synopsis by Nick Cook