Engineering Systems with Intelligence: Concepts, Tools and Applications
Springer Netherlands, Nov 30, 1991 - Technology & Engineering - 689 pages
This book contains a selection of papers presented at the "European Robotics and Intelligent Systems Conference" (EURISCON '91) held in Corfu. Greece (June 23-28. 1991). It is devoted to the analysis. design and applications of technological systems with built-in intelligence achieved through appropriate blending of mathematical, symbolic. sensing. computer processing. and feedback control concepts. methods and software / hardware tools. System intelligence includes human-like capabilities such as learning. observation. perception. interpretation. reasoning. planning. decision making. and action. Integrated intelligent decision and control systems obey Saridis' prinCiple of Increasing Precision with Decreasing Intelligence (IPDI). and have a hierarchical structure with three basic levels. namely Organization. Coordination. and Execution Levels. As we proceed from the organization to the execution level. the precision about the jobs to be completed increases and accordingly the intelligence reqUired for these jobs decreases. As an example. it is mentioned here that in an intelligent robotic system the organization tasks can be realized using a neural net. the coordination tasks by a Petri net. and the execution tasks by local sensors and actuators. The field of intelligent systems is a new interdisciplinary field with continuously increasing interest and expansion. It is actually the outcome of the synergetic interaction and cooperation of classical fields such as system theory. control theory. artificial intelligence. operational research. information theory. electronics. communications. and others.
What people are saying - Write a review
We haven't found any reviews in the usual places.
ModelBased Architecture for High Autonomy Systems
The Next Step
BEST Case Study
42 other sections not shown
1991 Kluwer Academic 4Q detector algorithm analysis application approach architecture Artificial Intelligence Attribute Grammar Automation B-Splines backpropagation camera cell CMOs complex components Computer Computer Vision concept CONEX configuration constraints control system corresponding defined described detection developed diagnosis domain dynamic Engineering Systems environment equations evaluate example expert system feature Figure flexible function fusion fuzzy geometric IEEE implementation inference engine influence diagram input integration interface knowledge base knowledge representation layer linear machine manufacturing measurement method Minkowski sum module Netherlands neural network node object operation optimal output parameters performance planning position problem procedure processor production Prolog reference model representation represented robotic system rules scheduling sensor sensor fusion signal simulation SNEP software configuration management solution specific stereolithography structure Systems with Intelligence target task techniques transputer Tzafestas values vector vision visual