Manufacturing, modeling, management and control (MIM 2000): a proceedings volume from the IFAC Symposium, Rio, Greece, 12-14 July 2000
Published for the International Federation of Automatica Control by Pergamon, 2001 - Business & Economics - 576 pages
This Proceedings contains the papers presented at the IFAC Symposium on Manufacturing, Modeling, Management and Control (MIM 2000), held in Patras, Greece, on 12-14 July 2000.
MIM is a long-running series of IFAC meetings featuring the best work on the development, comparison and classification of manufacturing systems. In this Proceedings, key engineering topics, such as agile manufacturing and intelligent manufacturing, are presented alongside more management-related issues as well as some of the fundamental control theory applicable to these areas. Altogether, over 90 papers are presented.
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System Science and our Responsibilities I
Adaptive CoordinateParametric Control of Flying Vehicles
Performance Limitations in the Robust Servomechanism Problem for Proper Sampled LTI Systems
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agents algorithm analysis application approach artificial neural networks Automation behaviour buffer complex components concept configuration considered constraints control system Copyright correlation dimension cost database decision defined described distributed dynamic Engineering enterprise entropy environment equation estimation evaluation Figure flow function fuzzy Fuzzy Cognitive Maps fuzzy logic fuzzy set Greece Hopfield network IEEE IFAC Manufacturing implementation industrial input integrated Intelligent interaction interface International interoperability isoperimetry knowledge linear linear programming machine Management and Control manufacturing systems mass flow rate matrix method methodology mobile robot module node object operation optimal optimisation organisational output paper parameters Patras performance Petri Petri nets phase PID controller plant precalciner problem production planning programming proposed reconfiguration safety system sensors simulation solution solve specific step stochastic structure task techniques tool transition variables vector