Quantitative Biofractal Feedback Part II “ Devices , Scalability & Robust Control ”

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. Quantitative feedback for biofractal devices requires that a higher temporal and/or spectral models become available at the system level to implement a precision, low power, low weight integrated real-time sensor for mobile platforms applications such as unmanned air vehicles, emerging optical communication and application of organic device applications for multifunctional low power sensor for optical and RF. Why biofractal? Biofractal involves the used of organic devices, where power, size and cost are the driving metrics for the use of this new technology. Organic devices couples the multiphysics effects of ionics and electronics, with feedback involving additional complicating factors using fractal quantitative feedback technique in areas of multiple signal carriers and fragility. (1) Multiple signal carriers. We will explore the use of organic ionic flow devices for biofractal modelling. In contrast, digital electronics employs only one signal carrier, i.e., the electron. Current and voltage signals are simply different views of electron flow. Even the positive “hole” flow found in semiconductors consists simply of electrons moving in reverse, and may be modelled as such. Ionic devices, however, will employ multiple signal types. In addition to electric and light signals, there are ions and molecules that serve as signals by participating in chemical reactions. Such species have unique behavior that varies with chemical context. Unlike electrons, they must maintain their unique multiphysics identities when modelled. (2) Fragility. Organic devices are less robust than semiconductors, able to endure fewer environmental extremes. This fragility can translate into less reliability, and necessitate redundancy, dimensional scalability and error-correction techniques on a scale greater than in silicon processing. Such introduced complexity requires the application of QFT’s robustness. The advantage of using QFT is the ability to synthesize the fractional control circuits targeting nonlinear Report Documentation Page Form Approved OMB No. 0704-0188 Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to a penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. 1. REPORT DATE MAY 2008 2. REPORT TYPE 3. DATES COVERED 00-00-2008 to 00-00-2008 4. TITLE AND SUBTITLE Quantitative Biofractal Feedback Part II ’Devices, Scalability & Robust Control’ 5a. CONTRACT NUMBER