Application of Non-singular Finite-Time Convergent Sliding Mode Control Based on Fuzzy Probabilistic Neural Network for Renewable Energy Systems

Abstract

Modern high performance renewable energy systems utilize feedback techniques with sophisticated control algorithms, but such complicated algorithms cause heavy computational requests. With application to renewable energy systems, a mathematically easy and algorithmically speedy non-singular finite-time convergent sliding mode control (NFTCSMC) based on… (More)
DOI: 10.1145/3059336.3059354

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