Abstract
Intelligent Control has now achieved a good shape, although the definition and structure of an intelligent control system is still a debatable subject. Actually, intelligent control is an enhancement of traditional control to include the ability to sense and reason about the environment with incomplete and inexact a priori knowledge, and execute commands and controls in an adaptive, flexible and robust way. The field of intelligent control was founded by Fu in 1971 [1] as an intersection of artificial intelligence and automatic control. The demand for higher autonomy and higher productivity has motivated throughout the years extensive research in the field of intelligent control covering a diversity of topics such as learning control, knowledge-based (expert) control, fuzzy control, neural control, neurofuzzy control, sensing technology, sensory data processing and fusion, task planning, automated fault diagnosis and restoration, and obstacle-risk avoidance.
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