Mj grimble (20 résultats)

Hardback. Etat : Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Etat : Very Good. : Este libro explora los sistemas basados en el conocimiento para el control industrial, abarcando el trasfondo del control basado en el conocimiento, la inteligencia artificial, las aplicaciones de la experiencia en conocimiento y el control deductivo. Se centra en el potencial de estos sistemas en las industrias de procesos, presentando enfoques holísticos y el uso de sistemas expertos en el control de procesos en tiempo real. Además, considera el impacto de las redes neuronales en el modelado de procesos y el desarrollo de entornos para la construcción de sistemas expertos. EAN: 9780863412219 Tipo: Libros Categoría: Tecnología Título: Knowledge-Based Systems for Industrial Control Autor: J. McGhee| Michael J. Grimble| Peter Mowforth Editorial: Institute of Electrical Engineers Idioma: en Páginas: 356 Formato: tapa dura.…

Hardcover. Etat : Good. Etat de la jaquette : Good. Hardcover. Ex-university library. A few scores on dust jacket. Shelflabel on jacket spine foot. Light creasing on jacket spine head. Hardcover spine ends are very lightly bumped. Library stamps on page block, rear pastedown, half-title page, copyright page and at a few further points. Library plate on front pastedown. Minor pen and sticker residue on FEP and copyright page. Binding is intact, contents are clean and clear. AM. Ex-Library. …

Etat : New.

Etat : Sehr gut. 268 p. In very good condition. ISBN: 9783540760771 Sprache: Deutsch Gewicht in Gramm: 486 15,5 x 1,5 x 23,5 cm, softcover.

Etat : New.

Hardback. Etat : New. Expert and knowledge-based systems have great potential for industrial control systems, particularly in the process industries. Recognising the importance of this emerging area, the Institution of Electrical Engineers organised a Vacation School on the subject, for engineers from industry and academia, at the University of Strathclyde in September 1990. The course and this resulting text cover four main issues: the background of knowledge-based control, artificial intelligence, applications of knowledge expertise, and deductive control. The background material presents knowledge based control from the perspective of Systems Engineering and Information Technology. When combined with an introduction to both artificial intelligence and fuzzy logic, a firm foundation is laid for consolidation of the later material of the book. The importance of fuzzy control is considered and the use of expert systems in self-tuning control is discussed. The use of real-time knowledged based systems in Fermentation supervisory control is described and the impact of neural networks in process modelling is also considered. The development of COGSYS which is an environment for building expert systems and its applications is described, together with its application to a gas processing plant. Case studies in condition monitoring are presented. The development of qualitative models for physical systems which is currently attracting considerable interest from the Al community is considered. The design of multivariable control systems and other aspects of process control are also covered.…

Paperback. Etat : Brand New. 628 pages. 11.69x8.25x1.42 inches. In Stock.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : As New. Unread book in perfect condition.

Hardback. Etat : New. Expert and knowledge-based systems have great potential for industrial control systems, particularly in the process industries. Recognising the importance of this emerging area, the Institution of Electrical Engineers organised a Vacation School on the subject, for engineers from industry and academia, at the University of Strathclyde in September 1990. The course and this resulting text cover four main issues: the background of knowledge-based control, artificial intelligence, applications of knowledge expertise, and deductive control. The background material presents knowledge based control from the perspective of Systems Engineering and Information Technology. When combined with an introduction to both artificial intelligence and fuzzy logic, a firm foundation is laid for consolidation of the later material of the book. The importance of fuzzy control is considered and the use of expert systems in self-tuning control is discussed. The use of real-time knowledged based systems in Fermentation supervisory control is described and the impact of neural networks in process modelling is also considered. The development of COGSYS which is an environment for building expert systems and its applications is described, together with its application to a gas processing plant. Case studies in condition monitoring are presented. The development of qualitative models for physical systems which is currently attracting considerable interest from the Al community is considered. The design of multivariable control systems and other aspects of process control are also covered.…

Gebunden. Etat : New. Inhaltsverzeichnisrnrnn Part 1: Background for knowledge-based controln Chapter 1: Holistic approaches in knowledge-based process controln Chapter 2: Introduction to knowledge-based systems for process controln.

Hardcover. Etat : Brand New. 356 pages. 9.00x6.00x1.00 inches. In Stock.

Etat : New. pp. vi + 345.

Etat : New. pp. vi + 345 Illus.

Gebunden. Etat : New. Professor Michael Grimble, Director of the Industrial Control Centre and Past Chairman of the Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, UKRobust Industrial Control Systems: Optimal Design Approach for Polyn.

Gebunden. Etat : New. For practicing engineers and academic researchers, Grimble.systematically surveys recent developments in control and estimation, emphasizing applications. (SciTech Book News Vol. 25, No. 2 June 2001) .of interest to students in a course on control sys.

Hardback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.