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Intelligent industrial systems; modeling, automation, and adaptive behavior.


Intelligent industrial systems; modeling, automation, and adaptive behavior.

Ed. by Gerasimos G. Rigatos.

Information Science Reference


569 pages




The 17 chapters collected in this volume present new research on industrial and mobile robots, the fault diagnosis of industrial systems, and intelligent algorithms for improving the operation and safety of power generation and distribution systems. Three chapters on stochastic modeling review the main stochastic methods for solving continuous non-convex constrained optimization problems, identify linear time-varying systems using Kalman filters, and introduce an IDE for designing fuzzy rules. Other topics include intelligent automatic guided vehicles, visual feedback for non-holonomic mobile robots, monitoring non-stationary systems using dynamic pattern recognition, predicting the hot spot temperature of power components, and state observers for networked control systems.

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Publication:Reference & Research Book News
Article Type:Book review
Date:Feb 1, 2011
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