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This paper proposes a novel simple adaptive and online approach to estimate the state of charge (SOC) in Lithium Ion (Li-Ion) batteries based on a new model parameter identification method. First, a novel discrete model for the Li-ion battery is developed. This model is the key step in the development of the proposed parameter estimation algorithm. The estimated parameters are used for on-line calculation...
This paper presents a new hybrid control strategy for velocity control of an electro hydraulic servo system (EHSS) in presence of flow nonlinearities and internal friction. We employed a combination of LQR controller and fuzzy-neural network in a feedback error learning framework. In the proposed control approach, LQR controller as a classical controller is designed such that the stability is guaranteed...
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