July 16, 2017

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By Energy Efficiency and Renewable Energy Clearinghouse (U.S.); National Renewable Energy Laboratory (U.S.)

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G. a pre-made cell) the "simulator" could just be a list of performance specifications. If a suitable architecture cannot be found, then this selectormust return to the uppernodethe fact that the selection has failed . This would mean that the specifications cannotbe met; theymust be changed in orderto continue. If a standard cell (pre-designed cell) was chosen then a successful return to the upper node is made. Given specifications for a particular architecture the next step is to map the chosen architecture to the detailed specifications of the component (lower) blocks.

6) where U, is an 2N - 1 x rt transformation matrix, Ect is an rt x rt diagonal matrix, and rt is therank of Ect. Thecolumns of U, arecalled the error signatures [288] and form a set of orthonormal vectors spanning the error space. 7) where Ct . , normal(O, Ect) is a zero mean multivariate normal distribution with r statistically independent variates. 5). The parameters U, and flt areunique for each NO architecture, while thedistribution C represents a mixture of therelevant process variations.

In this research, we focu s on modeling a memoryless converter for static performance specifications. Previously, Ruan [255] proposed different behavioral models fordifferent types of NO converter architectures. Onedrawback is thatthearchitectural dependence necessitates derivation of a new model for any changes in the converter architecture. Another drawback is that the model is deterministic. 1) where code is the outputcode, A is a function, Vl n is the input, and v is a set of m parameters. There are twoproblems with this behavioral modeling approach; namely, • Worst case analysis must be used to find worstcase converter performance.

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