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Variation-aware analog stru...
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
Monografía
monografia Rebiun24786853 https://catalogo.rebiun.org/rebiun/record/Rebiun24786853 m o d cr cn||||||||| 090922s2009 ne ob 001 0 eng d 425912022 436431268 461299686 489104193 514366881 646814001 1126460937 9789048129065 9048129060 9789048129058 9048129052 1282332759 9781282332751 9786612332753 6612332751 10.1007/978-90-481-2906-5 doi AU@ 000048715958 CDX 11206465 DEBSZ 430754620 NLGGC 322436257 NZ1 13118859 NZ1 13660530 978-90-481-2905-8 Springer http://www.springerlink.com GW5XE eng pn GW5XE OCLCQ CUS UAB HUA N$T EBLCP OSU YDXCP IDEBK E7B OCLCQ CDX OCLCO OCLCQ NLGGC BEDGE OCLCQ COO DEBSZ OCLCQ MYUML Z5A OCLCQ ESU OCLCF OCLCQ CEF U3W WYU YOU AU@ UKAHL OCLCQ SFB eng TEC 008020 bisacsh TEC 008010 bisacsh TJFC bicssc 621.3815 22 53.70 bcl Variation-aware analog structural synthesis a computational intelligence approach Trent McConaghy [and others] Dordrecht Springer ©2009 Dordrecht Dordrecht Springer 1 online resource (1 volume) 1 online resource (1 volume) Text txt rdacontent computer c rdamedia online resource cr rdacarrier Analog circuits and signal processing series Includes bibliographical references and index 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 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 English Analog-to-digital converters- Computer-aided design Linear integrated circuits- Computer-aided design Electronic circuit design- Computer-aided design TECHNOLOGY & ENGINEERING- Electronics- Circuits- Integrated. TECHNOLOGY & ENGINEERING- Electronics- Circuits- General. Ingénierie. Analog-to-digital converters- Computer-aided design. Linear integrated circuits- Computer-aided design. Electronic books McConaghy, Trent Print version Variation-aware Analog Structural Synthesis. Springer Verlag 2009 9789048129058 (OCoLC)401157629 Analog circuits and signal processing series