Quantitative Biofractal Feedback Part II 'Devices, Scalability & Robust Control'
Abstract
Development of a new revolutionary quantitative biofractal control methodology for the creation and efficient use of new organic bio-inspired devices using quantitative feedback theory (QFT) will be the focus of this lecture. The non-integer methodology will be addressed in the form of a quantitative biofractal controller architecture, which incorporates ontogentic and epigenetic scalable mechanisms for interconnectivity parameter weightings, morphability and dimensional scalability in the development of nonlinear sensor models and methodology. Biofractal involves the use of organic devices, where power, size and cost are the driving metrics for the use of this new technology. Advantage of using QFT is the ability to synthesize the fractional control circuits targeting nonlinear sensors and devices. But controllability is a problem area in the biofractal controller design in terms of reliability, lack of CAD tools, and robust performance issues. So, the QFT robust design methodology needs to be enhanced for simulation ,modelling and synthesis of robust "scalable" biofractal feedback designs. The envisioned robust biofractal circuit design methodology involves the decomposition of the performance specifications into the basic Op-Amp building blocks, such as an integrator and summer, correlated to fractal elements. The inherent basic elements used for the Op-Amp building blocks will be both novel organic transistors and silicon devices. Novel organics have good potential for development of unique multi-signal logic devices that don't rely on conventional electronic designs. Compared to the electrons and holes in their semiconductor counterparts, organic transistors utilize charge carriers such as electrolytes to conduct a signal. This provides the potential for custom biofractal logic built around device chemistry that can lead to reduced complexity in intricate logic implementations.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 01, 2008
- Accession Number
- ADA508747
Entities
People
- Robert L. Ewing
Organizations
- Air Force Research Laboratory