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This paper presents an adaptive iterative learning control scheme that is applicable to a class of nonlinear systems. The control scheme guarantees system stability and boundedness by using the feedback controller coupled with the fuzzy compensator and achieves precise tracking by using the iterative learning rules. In the feedback plus fuzzy compensator(More)
BACKGROUND The nucleus accumbens (NAc) is a brain region critically involved in psychostimulant-induced neuroadaptations. A major proportion of NAc neurons consists of medium spiny neurons (MSNs), commonly divided into two major subsets on the basis of their expression of D1 dopamine receptors (D1R-MSNs) or D2 dopamine receptors (D2R-MSNs). Although NAc(More)
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