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ON-LINE MULTIVARIABLE SYSTEM IDENTIFICATION AND ADAPTIVE CONTROL OF INDUSTRIAL…

Award Information

Agency:
National Science Foundation
Branch:
N/A
Award ID:
7475
Program Year/Program:
1990 / SBIR
Agency Tracking Number:
7475
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
COMPUTATIONAL ENGINEERING INTERNATIONAL
2166 N. Salem Street Suite 101 Apex, NC 27523 6456
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 1990
Title: ON-LINE MULTIVARIABLE SYSTEM IDENTIFICATION AND ADAPTIVE CONTROL OF INDUSTRIAL PROCESSES
Agency: NSF
Contract: N/A
Award Amount: $199,919.00
 

Abstract:

IN THE PROPOSED STUDY, THE CANONICAL VARIATE ANALYSIS (CVA) METHOD OF SYSTEM IDENTIFICATION IS EVALUATED FOR IDENTIFICATION AND ADAPTIVE CONTROL OF INDUSTRIAL PROCESSES.CURRENTLY AVAILABLE ALGORITHMS FOR SYSTEM IDENTIFICATION AND ADAPTIVE CONTROL ARE NOT COMPLETELY RELIABLE FOR AUTOMATIC IMPLEMENTATION ON MICROCOMPUTERS IN REAL TIME. IN THE CVA APPROACH, THE ALGORITHMS ARE COMPUTATIONALLY STABLE AND NUMERICALLY ACCURATE AND CAN BE IMPLEMENTED ON INEXPENSIVE MICROCOMPUTERS. THE CVA METHOD AUTOMATICALLY DETERMINES THE DYNAMICAL STATE ORDER AND STRUCTURE OF THE PROCESS. THE PROPOSED PHASE I RESEARCH IS TO SHOW THE FEASIBILITY OF THE CVA METHOD ON INDUSTRIAL PROCESSES THAT ARE DIFFICULT TO IDENTIFY, AND TO EXTENDED CVA TO THE IDENTIFICATION OF NONLINEAR AND TIME VARYING SYSTEMS. THE COMPUTER SIMULATION SOFTWARE AND EXPERIMENTAL PROCESS FACILITIES OF THE UNIVERSITY OF CALIFORNIA AT SANTA BARBARA WILL BE USED FOR EVALUATION OF FEASIBILITY. IN PHASE II, THE METHODS AND ALGORITHMS WILL BE INVESTIGATEDIN MORE DETAIL FOR A WIDER RANGE OF PROCESSES, AND ALGORITHMS AND SOFTWARE WILL BE DEVELOPED FOR APPLICATION OF THE CVA METHOD TO A BROAD CLASS OF INDUSTRIAL PROCESSES. IN ADDITION, FULL-SCALE INDUSTRIAL PROCESS DATA FROM A MAJORMANUFACTURER WILL BE USED.

Principal Investigator:

Wallace E Larimore
0

Business Contact:

Small Business Information at Submission:

Computational Engineering
14504 Greenview Dr #500 Laurel, MD 20708

EIN/Tax ID:
DUNS: N/A
Number of Employees: N/A
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No