SBIR/STTR Research Award

ROBUST NONLINEAR CONTROL DESIGNS FOR COMPLEX DYNAMIC SYSTEM

Award identifier 6f18cfa8c61ebadcdadac6dfa84762fa85dafc59645c9fbb75ef64e6c6c8b4f5Awarding agency National Science Foundation

Award amount

$64,938

Program and phase

SBIR · Phase I

Award year

1994

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
AMERICAN GNC CORP
Proposal award date
Not reported
Contract end date
Not reported
UEI
YX5GJQB44DA5
Solicitation number
Not reported
Topic code
Not reported

Research abstract

THE NONLINEARITIES AND UNCERTAINTIES INHERENT IN COMPLEX DYNAMIC SYSTEMS, SUCH AS THE DEVELOPMENT OF AUTOPILOT SYSTEMS FOR AIRCRAFT, IMPOSE GREAT CHALLENGES TO LINEAR CONTROL SYSTEMS DESIGN. SEVERAL ADVANCED ROBUST NONLINEAR APPROACHES, NAMELY, NONLINEAR H-INFINITY, INVERSION-BASED CONTROL LAWS, ANALYTICAL GAIN SCHEDULING, AND NONLINEAR SERVOMECHANISM DESIGN ARE BEING USED TO DESIGN A HIGH PERFORMANCE AUTOPILOT. THE UNIQUE FEATURES OF THESE APPROACHES INCLUDE INCORPORATION OF NONLINEAR DYNAMICS INTO THE DESIGN PROCESS; PROVISION FOR ROBUST SCHEMES TO ACCOUNT FOR MODEL UNCERTAINTIES; AND UTILIZATION OF ADAPTIVE MECHANISMS TO HANDLE PARAMETER VARIATIONS. THESE FEATURES SYNERGISTICALLY YIELD A CONTROL SYSTEM WITH A LARGER OPERATION RANGE, INCREASED ROBUSTNESS TO PARAMETRIC VARIATIONS, FASTER RESPONSE SPEED, AND MORE ACCURATE TRACKING CAPABILITIES, THEREBY ENHANCING THE OVERALL SYSTEM PERFORMANCE. THE DELIVERABLES INCLUDE A COMPREHENSIVE NONLINEAR DESIGN/ANALYSIS TOOL TOGETHER WITH DETAILED DOCUMENTATION.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

177 SBIR/STTR records share this UEI (1990–2025). Reported award amounts total $36,451,860. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, National Science Foundation

Agency intelligence

National Science Foundation

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