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The main features of autonomous control systems are determined by the need to solve complex optimization problems in the face of uncertainty, in near real time, and without human intervention. In this article we define autonomous control as a higher level of automatic control. A taxonomy of current control, optimization and estimation paradigms is examined vis-a-vis the challenges of autonomous control. Also, research issues, and application areas of autonomous control, are identified. The manifold benefits it offers make the quest for autonomous control worthwhile.
Pachter et al. (Sat,) studied this question.
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