CpEng 301/EE 301/System Eng 301

Adaptive Devices, Circuits and Systems

 

All students, graduate and undergraduate are encouraged to take this course.
We will explore and exploit the field of Adaptiveness.

 

Text:  Evolvable Hardware edited by T Higuchi, Y Liu and X Yao, Springer ISBN 1-4020-7098-5.Many other materials include research publications (to be accessed through IEEExplore if available otherwise to be given in class as lectures proceed).

 Brief Course Description:   This is 3 hour course is one of a series of four courses (358/367- Computational Intelligence (FS07), 301-Adaptive Device, Circuits and Systems, 458- Adaptive Critics  and 401- Advanced Neural Networks and Hardware) to be offered and will apply paradigms of Computational Intelligence (CI) and their integration to develop efficient and robust systems.

 Evolvable Hardware (EHW) refers to hardware that can learn and adapt autonomously in a dynamic environment. It is often the integration of evolutionary and evolutionary-like computations and programmable hardware devices. EHW techniques enable self-reconfigurability, adaptability and learning by programmable devices in order to improve performance over time. Adaptation reflects the capability of a system to maintain or improve its performance in the context of internal or external changes, such as uncertainties and variations during fabrication, faults and degradations, modifications in the operational environment, incidental or intentional interference, different users and preferences, modifications of standards and requirements, trade-offs between performance and resources, etc.

 Prerequisites by topic:   Computational Intelligence (CpE358/EE367) or by instructor’s permission.

Course Contents:

This course will cover EHW concepts for the evolution of devices, circuits and systems. Some of the topics to be covered in this course are listed below but are not limited to:

• Introduction – Chapter 1

  • Evolutionary and Swarm Algorithms

    • Genetic Algorithms, Genetic Programming and Particle Swarm Optimization.

  • Paper 1: Evolvable Hardware – Using Evolutionary Computation to Design and Optimize Hardware Systems by J D Lohn and G Hornby, IEEExplore.

  • Paper 2: Evolution on a Chip: Evolvable Hardware Aims to Optimize Circuit Design by N Forbes, Computing in Science and Engineering, May/June 2001, pp. 6 -10.

  • Applications

• A Genetic Algorithm Hardware Engine – Chapter 3

• Digital hardware evolution

  • Paper 1: Real-World Applications of Analog and Digital Evolvable Hardware by T Higuchi, et al, IEEExplore.

  • Paper 2: Evolving Combinational Logic Circuits Using Particle Swarm, Differential Evolution and Hybrid DEPSO, by P Moore and G K Venayagamoorthy, International Journal of Neural Systems, vol. 16, no. 2, 2006, pp. 163-177.

  • Paper 3: Generalized Disjunction Decomposition for Evolvable Hardware by E Stomeo and T Kalganova, IEEExplore.

• Analog hardware evolution– Chapters 7, 8 and 9

  • Paper: Fault-Tolerant Evolvable Hardware Using Field-Programmable Transistor Array by D Keymeulen, et al, IEEExplore.

• Evolution of sensors and sensor networks

  • Fault Tolerant Sensor Systems Using Evolvable Hardware by J M Hereford, IEEExplore.

  • Fault-Tolerant Control for SSSC Using Neural Networks and PSO by Qiao, Harley and Venayagamoorthy, IEEExplore.

  • Self-Organization of Sensor Networks Using Genetic Algorithms by Khanna, et al, IEEExplore.

• Evolution and Reconfiguration power distribution networks.

• Bio-inspired machines – Chapter 5

  • Paper: Toward Robust Integrated Circuits: The Embryonics Approach by                 D Mange, and et al, IEEExplore.

• Other Evolvable Hardware Applications

  • Instrumentations

  • Mechanical hardware evolution

 Project:

Projects will be given to each student by the instructor. In addition, suitable projects recommended by students will be selected in consultation with the instructor.

 Some Related Conferences:

·         NASA/ESA Conference on Adaptive Hardware and Systems (AHS-2007), August 5-8, 2007, University of Edinburgh, Scotland, UK

·         NASA/DoD Conference on Evolvable Hardware

·         International Conference on Evolvable Systems.

 Some Related Journals:

·         Journal of Genetic Programming and Evolvable Hardware

·         IEEE Trans. on CAD of Integrated Circuits and Systems

·         IEEE Trans. on Evolutionary Computation

·         IEE Proceedings of Computers and Digital Techniques

·         Minds and Machines

·         IEEE Trans. on Nanotechnology

·         Adaptive Behavior.

 

Some Related Journals:

·         Journal of Genetic Programming and Evolvable Hardware

·         IEEE Trans. on CAD of Integrated Circuits and Systems

·         IEEE Trans. on Evolutionary Computation

·         IEE Proceedings of Computers and Digital Techniques

·         Minds and Machines

·         IEEE Trans. on Nanotechnology

·         Adaptive Behavior.

 

 

Please email any questions to Dr. G K Venayagamoorthy at ganeshv@mst.edu