Adaptive Control Approaches for Nonlinear Systems: Retrospect and Prospects

Abstract:

This paper discusses the state-of-art of adaptive control approaches for nonlinear systems to date and presents a new classification framework, in which the existing adaptive control approaches can be broadly classified into two categories: model-driven methods and data-driven methods. The principle, main research progress, and inherent problems of these methods are reviewed. Finally, some practical considerations and future directions are also briefly explored and discussed.

• Periodical: Applied Mechanics and Materials (Volumes 719-720)
• Pages: 336-345
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.719-720.336
• Online since: January 2015
• Authors: Hong Liang Rao
• Keywords: Adaptive Control, Data-Driven, Fuzzy, Model Reference, Model-Driven, Model-Free, Multi-Model, Neural Network

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