Abstract
While during the last decades the great enhancements in the field of digital design methodologies and tools have allowed to design larger digital circuits in less time, the analog circuit design methods have not progressed at the same rate. The design of analog electrical circuits needs electronic engineers with a long experience and a wide knowledge of the theories that rule this kind of circuits. However, experimental optimization tools exist; they search the space of solutions for optimal configurations of variables sets, given a circuit netlist provided by the designers. Typical analog integrated circuit optimization problems are computationally hard and require the handling of multiple, conflicting, and non-commensurate objectives having strong nonlinear interdependence. In general it is possible to reformulate integrated circuit design as constrained multi-objective optimization problems defined in a mixed integer/discrete/continuous domain. The hereby employed traditional numerical techniques are becoming too much time-consuming for circuits of industrial complexity. The long computation time required for the optimization of a complete circuit cannot be tolerated especially in the early design stages. For tackling this complexity problem model reduction methods are a promising approach in order to achieve a faster performance evaluation in order to obtain more robust devices within a more efficient design process.
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Keywords
- Proper Orthogonal Decomposition
- Circuit Design
- Model Order Reduction
- Early Design Stage
- Integrate Circuit Design
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Gangemi, G. (2010). Minisymposium Optimization and Model Order Reduction in Circuit Design . In: Fitt, A., Norbury, J., Ockendon, H., Wilson, E. (eds) Progress in Industrial Mathematics at ECMI 2008. Mathematics in Industry(), vol 15. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12110-4_65
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DOI: https://doi.org/10.1007/978-3-642-12110-4_65
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