Time-varying neuro-fuzzy model using probability density function techniques for batch processes

DOI10.1080/00949655.2013.782027zbMath1458.93152OpenAlexW2019683353MaRDI QIDQ5219983

Kai Yuan, Li Jia

Publication date: 9 March 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2013.782027

zbMATH Keywords

batch processesprobability density function (PDF) shape of modelling errortime-varying neuro-fuzzy model

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) System identification (93B30) Application models in control theory (93C95)

Related Items (2)

Editorial ⋮ Evolving possibilistic fuzzy modelling

Cites Work

• Optimal control of a fed-batch bioreactor based upon an augmented recurrent neural network model
• Analysis and Synthesis of Discrete-Time Repetitive Controllers
• Repetitive control system: a new type servo system for periodic exogenous signals
• Non-linear iterative learning by an adaptive Lyapunov technique
• On Estimation of a Probability Density Function and Mode

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