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Optimization and Co-simulation of an Implantable Telemetry System by Linking System Models to Nonlinear Circuits

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Computational Intelligence in Analog and Mixed-Signal (AMS) and Radio-Frequency (RF) Circuit Design

Abstract

This chapter presents a platform for modeling, design, optimization, and co-simulation of mixed-signal systems using the SystemC-AMS standard. The platform is based on a bottom-up design and top-down simulation methodologies. In the bottom-up design methodology, an optimizer is inserted to perform a knowledge-aware optimization loop. During the process, a PEANO trajectory is applied for global exploration and the Nelder–Mead simplex optimization method is applied for local refinement. The authors introduce an interface between system-level models and their circuit-level realizations in the proposed platform. Moreover, a transient simulation scheme is proposed to simulate nonlinear dynamic behavior of complete mixed-signal systems. The platform is used to design and verify a low-power CMOS voltage regulator for an implantable telemetry system.

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Li, Y., Zou, H., Moursy, Y., Iskander, R., Sobot, R., Louërat, MM. (2015). Optimization and Co-simulation of an Implantable Telemetry System by Linking System Models to Nonlinear Circuits . In: Fakhfakh, M., Tlelo-Cuautle, E., Siarry, P. (eds) Computational Intelligence in Analog and Mixed-Signal (AMS) and Radio-Frequency (RF) Circuit Design. Springer, Cham. https://doi.org/10.1007/978-3-319-19872-9_4

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  • DOI: https://doi.org/10.1007/978-3-319-19872-9_4

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