Towards an analog system design environment

Degrauwe, M.; Goffart, B.; Meixenberger, C.; Pierre, M.; Litsios, J.; Rijmenants, J.; Nys, O.; Dijkstra, Edsger W.; Joss, B.; Meyvaert, M.K.C.M.; Schwarz, Thorsten; Pardoen, M.D.

doi:10.1109/4.32023

Cited by 70 publications

(26 citation statements)

References 21 publications

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“…Examples include genetic algorithms or evolution systems like DARWIN [10] and special heuristics based systems like IDAC [11] and OASYS [12].…”

Section: Knowledge-based Methodsmentioning

confidence: 99%

“…For the two-stage op-amp the dominant pole is given by p1 = gm1=AvCc; (10) and the unity gain bandwidth is given by the expression !c = gm1=Cc; (11) which is monomial. For the other architectures, the unity-gain bandwidth is given by the ratio of the transconductance of some device to the compensation (or output) capacitance, and is either monomial or inverse-posynomial.…”

Section: Unity-gain Bandwidthmentioning

confidence: 99%

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GPCAD: a tool for CMOS op-amp synthesis

Hershenson¹,

Boyd²,

Lee³

1998 IEEE/ACM International Conference on Computer-Aided Design. Digest of Technical Papers (IEEE Cat. No.98CB36287)

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We present a method for optimizing and automating component and transistor sizing for CMOS operational amplifiers. We observe that a wide variety of performance measures can be formulated as posynomial functions of the design variables. As a result, amplifier design problems can be formulated as a geometric program, a special type of convex optimization problem for which very efficient global optimization methods have recently been developed. The synthesis method is therefore fast, and determines the globally optimal design; in particular the final solution is completely independent of the starting point (which can even be infeasible), and infeasible specifications are unambiguously detected.After briefly introducing the method, which is described in more detail in [1], we show how the method can be applied to six common op-amp architectures, and give several example designs.

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“…Examples include genetic algorithms or evolution systems like DARWIN [10] and special heuristics based systems like IDAC [11] and OASYS [12].…”

Section: Knowledge-based Methodsmentioning

confidence: 99%

Section: Unity-gain Bandwidthmentioning

confidence: 99%

GPCAD: a tool for CMOS op-amp synthesis

Hershenson¹,

Boyd²,

Lee³

1998 IEEE/ACM International Conference on Computer-Aided Design. Digest of Technical Papers (IEEE Cat. No.98CB36287)

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show abstract

“…Linear and nonlinear infinite programs have received significant attention in the optimization literature [9] [14]. Consider the problem P , which is a simplified version of NLIP in equation (3) (without the state variables and equality constraints, and just a single objective that is independent of the worst-case variables and a single constraint): (4) Now, let denote the problem:…”

Section: A Conceptual Infinite Programming Algorithmmentioning

confidence: 99%

“…, [31]. Since then we have seen approaches to optimization-based nominal circuit design [24], and even analog circuit synthesis [4][11] [12][13] [18][21] [26]. We have also seen approaches to statistical IC design [6][8] [15] [33] and even some recent approaches that include operating ranges [1] [5].…”

Section: Introductionmentioning

confidence: 99%

Synthesis Of Manufacturable Analog Circuits

Mukherjee

Carley

Rutenbar

IEEE/ACM International Conference on Computer-Aided Design

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“…The array entries specify the target deviation as a function of the current best cost. Specifically, the target deviation is given by (2) where the variable keeps track of the annealer's progress through the fixed length schedule. Fig.…”

Section: Deviationtracker and The Downhill Setmentioning

confidence: 99%