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ADAPTIVE NEURAL NETWORK ARCHITECTURE FOR ROBUST RECONFIGURABLE FLIGHT CONTROL

Award Information

Agency:
Department of Defense 		Branch:
Navy 		Award ID:
13531 		Program Year/Program:
1990 / SBIR
Agency Tracking Number:
13531 		Solicitation Year:
N/A 		Solicitation Topic Code:
N/A 		Solicitation Number:
N/A
Small Business Information
Systems Technology, Inc.
13766 S. Hawthorne Blvd. Hawthorne, CA -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1990
Title: ADAPTIVE NEURAL NETWORK ARCHITECTURE FOR ROBUST RECONFIGURABLE FLIGHT CONTROL
Agency / Branch: DOD / NAVY
Contract: N/A
Award Amount: $49,997.00
 

Abstract:

THE PROPOSED WORK ADDRESSES SPECIFIC ISSUES RELATED TO AIRCRAFT STABILITY DURING CONFIGURATION CHANGES, DAMAGE CONTROL AND CONFIGURATION MANAGEMENT WHICH HAVE RECEIVED INCOMPLETE TREATMENT IN EXISTING AIRCRAFT FLIGHT CONTROLLER SYSTEMS DESIGN. THE APPROACH WE HAVE SELECTED UTILIZES NEURAL NET TECHNOLOGY TO IDENTIFY AND COMPENSATE FOR ADVERSE DYNAMICS WHICH CAN BE ENCOUNTERED DURING OPERATIONAL CONFIGURATION CHANGES CONSEQUENT TO (1) DAMAGE CONTROL, (2) MISSION PROFILE SEGMENT TRANSITION OR (3) TACTICAL MODE CHANGE. ADVANCED SIMULATION TECHNIQUES WILL BE EMPLOYED TO EVALUATE THE POTENTIAL OF SEVERAL ALTERNATIVE NEURAL NET ARCHITECTURES IN IDENTIFICATION AND CONTROL OF ADVERSE PLANT CHARACTERISTICS RESULTING FROM CONFIGURATION CHANGE. EXPERIMENTAL RESULTS WILL BE USED TO SPECIFY A DESIGN STRATEGY FOR A RECONFIGURATION MANAGER WHICH IS SENSITIVE TO MISSION OBJECTIVES AND SITUATIONAL VARIABLES WHILE MAXIMIZING AIRCRAFT PERFORMANCE AND SAFETY DURING RECONFIGURATION.

Principal Investigator:

James C Smith
2136792281

Business Contact:

Small Business Information at Submission:

Systems Technology Inc
13766 S Hawthorne Blvd Hawthorne, CA 90250

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