A review-style anniversary paper positions evolving fuzzy systems as a promising extension of adaptive control, emphasizing simultaneous structural and parametric learning, and calls for principled safety and validation frameworks.
A Historical Perspective of Adaptive Control and Learning
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abstract
This article provides a historical perspective of the field of adaptive control over the past seven decades and its intersection with learning. A chronology of key events over this large time-span, problem statements that the field has focused on, and key solutions are presented. Fundamental results related to stability, robustness, and learning are sketched. A brief description of various applications of adaptive control reported over this period is included.
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From Model-Based and Adaptive Control to Evolving Fuzzy Control
A review-style anniversary paper positions evolving fuzzy systems as a promising extension of adaptive control, emphasizing simultaneous structural and parametric learning, and calls for principled safety and validation frameworks.