Variation-aware analog structural synthesis

Variation-Aware Analog Structural Synthesis describes computational intelligence-based tools for robust design of analog circuits. It starts with global variation-aware sizing and knowledge extraction, and progressively extends to variation-aware topology design. The computational intelligence techn...

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Auteurs principaux: McConaghy, Trent, Steyaert, Michiel, 1959- (Auteur), Palmers, Pieter (Auteur), Gao, Peng (Auteur), Gielen, Georges G. E., 19..- (Auteur)
Format: Livre numérique
Jezik:Anglais
Izdano: Dordrecht : Springer Netherlands [20..].
Cham : Springer Nature
Serija:Analog Circuits and Signal Processing
Online dostop:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Sporočilo: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Variation-aware analog structural synthesis, a computational intelligence approach, Trent McConaghy ... [et al.], Dordrecht, Springer, 2009, 1 vol. (XX-305 p.), Analog circuits and signal processing series, 978-90-481-2905-8
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245 1 0 |a Variation-aware analog structural synthesis   |c by Trent McConaghy, Pieter Palmers, Peng Gao, Michiel Steyaert, Georges Gielen. 
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505 1 |a Variation-Aware Sizing: Background Globally Reliable, Variation-Aware Sizing: Sangria Knowledge Extraction in Sizing: Caffeine Circuit Topology Synthesis: Background Trustworthy Topology Synthesis: MOJITO Search Space Trustworthy Topology Synthesis: MOJITO Algorithm Knowledge Extraction in Topology Synthesis Variation-Aware Topology Synthesis and Knowledge Extraction Novel Variation-Aware Topology Synthesis Conclusion 
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520 |a Variation-Aware Analog Structural Synthesis describes computational intelligence-based tools for robust design of analog circuits. It starts with global variation-aware sizing and knowledge extraction, and progressively extends to variation-aware topology design. The computational intelligence techniques developed in this book generalize beyond analog CAD, to domains such as robotics, financial engineering, automotive design, and more. The tools are for: Globally-reliable variation-aware automated sizing via SANGRIA, leveraging structural homotopy and response surface modeling. Template-free symbolic models via CAFFEINE canonical form functions, for greater insight into the relationship between design/process variables and circuit performance/robustness. Topology selection and topology synthesis via MOJITO. 30 well-known analog building blocks are hierarchically combined, leading to >100,000 different possible topologies which are all trustworthy by construction. MOJITO does multi-objective genetic programming-based search across these topologies with SPICE accuracy, to return a set of sized topologies on the optimal performance/yield tradeoff curve. Nonlinear sensitivity analysis, topology decision trees, and analytical tradeoffs. With a data-mining perspective on Pareto-optimal topologies, this book shows how to do global nonlinear sensitivity analysis on topology and sizing variables, automatically extract a specs-to-topology decision tree, and determine analytical expressions of performance tradeoffs. Novel topology design. The MOJITO-N and ISCLEs tools generate novel yet trustworthy topologies; including boosting digitally-sized circuits for analog functionality 
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700 1 |a Palmers, Pieter.  |4 aut 
700 1 |a Gao, Peng.  |4 aut 
700 1 |a Gielen, Georges G. E.,  |d 19..-  |4 aut 
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