D5.2 Robust Optimization of Self-x Sensory Electronics in Presences of Environmental Variations for Industry 4.0
- Event
- SMSI 2020
-
(did not take place because of Covid-19 virus pandemic) - Band
- SMSI 2020 - Measurement Science
- Chapter
- D5 Advanced Methods & Measurement Systems
- Author(s)
- Q. Zaman, S. Alraho, A. König - Technische Universität Kaiserslautern, Kaiserslautern (Germany)
- Pages
- 295 - 296
- DOI
- 10.5162/SMSI2020/D5.2
- ISBN
- 978-3-9819376-2-6
- Price
- free
Abstract
This paper introduces a new methodology to robustly optimize the re-configurable self-x ICs for industry 4.0 in the presence of environmental uncertainty (EU). For handling the EU, variance measure methodology has been selected due to its simplicity. The traditional particle swarm optimizer has been amended by adaptively adjusting its acceleration coefficients and expanding its selection procedure. The performance of the proposed modifications has been tested on two bench-marking functions. The extrinsic evaluation of the proposed algorithm has also been done on an instrumentation amplifier.