Accession Number : ADA371756


Title :   Neurobiologically Inspired Approaches to Nonlinear Process Control and Modeling


Descriptive Note : Final rept. 1 Nov 97-31 Oct 99


Corporate Author : DELAWARE UNIV NEWARK DEPT OF CHEMICAL ENGINEERING


Personal Author(s) : Doyle, Francis J , III


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a371756.pdf


Report Date : 31 Dec 1999


Pagination or Media Count : 6


Abstract : Over the course of this project, our efforts have been focused on four distinct activities: (1) the design of locally intelligent actuators (control valve), (2) the development of a neuromodulatory control model of the heart, (3) development of a decentralized state estimation scheme for large scale problems, and (4) formulation of large scale fault estimation problems using mixed integer programming. These items are highlighted in the body of this document.


Descriptors :   *NEURAL NETS , *ARTIFICIAL INTELLIGENCE , *CONTROL THEORY , COMPUTER AIDED DESIGN , INTEGER PROGRAMMING , NONLINEAR SYSTEMS , FAULT TOLERANT COMPUTING , NEUROBIOLOGY


Subject Categories : Cybernetics


Distribution Statement : APPROVED FOR PUBLIC RELEASE