Symbiotic Controller Design Using a Memory-Based FSM Model

Su Fu Kuo, Cheng Wen Wu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


The main obstacles in promoting IOT applications are cost and energy consumption constraints of the devices and systems. As a step forward in improving the reliability and reducing the cost and energy consumption of IOT devices and systems, we had proposed previously a high-level model for efficient design-space exploration, which is called the symbiotic system (SS) model. In this work, as an example for SS-based design, we show that it is possible to develop symbiotic controllers that achieve higher reliability, thus longer lifetime and lower cost. The proposed approach target FSM-based controllers that are key components in almost all digital systems. The experimental result for a small traffic light controller shows that the reliability is improved by about 1.75 times, assuming only hard faults. If the system encounters more soft errors, the lifetime can be greatly extended, e.g., for 50% soft errors, the reliability improvement is about 8.4 times.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE 27th International Symposium on Industrial Electronics, ISIE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Print)9781538637050
Publication statusPublished - 2018 Aug 10
Event27th IEEE International Symposium on Industrial Electronics, ISIE 2018 - Cairns, Australia
Duration: 2018 Jun 132018 Jun 15

Publication series

NameIEEE International Symposium on Industrial Electronics


Conference27th IEEE International Symposium on Industrial Electronics, ISIE 2018

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Control and Systems Engineering


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