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In this work, empirical kinetics, response surface method (RSM) and artificial neural network (ANN) were employed to model and optimize electrochemically activated persulfate process. Electrochemically activated persulfate using a sacrificial iron anode was used as a cost effective method to degrade sulfamethoxazole (SMX) in aqueous solution. The individual and the interactive effects of operation...
This paper provides a new sufficient condition for the global robust exponential stability of a delayed recurrent neural network. The conditions are expressed in terms of LMIs, which can be easily checked by various recently developed algorithms in solving convex optimization problems. Examples are provided to demonstrate the reduced conservatism of the proposed exponential stability condition.
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