SBIR/STTR Research Award

Verified Nonlinear Error Correction (VeNEC)

Award identifier 488a67340513ff1bc414c3ddf78248c4fe6183b7ea97f3e589f08bf7059b917fAwarding agency Department of Defense · Missile Defense Agency

Award amount

$149,990

Program and phase

SBIR · Phase I

Award year

2022

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Award details

Awarding agency
Department of Defense
Branch
Missile Defense Agency
Recipient company
IHIO INNOVATIONS CORP
Proposal award date
2022-07-25
Contract end date
2023-01-24
UEI
HS7DE9JHCGD8
Solicitation number
22.1
Topic code
MDA22-007

Research abstract

IHIO Innovations Corporation (IHIO) propose to develop a Verified Nonlinear Error Correction (VeNEC) algorithm based on new adaptive, recurrent neurons integrated with Kalman filtering for fast nonlinearity prediction/correction. The VeNEC has a supplementary error verification artificial intelligence (AI) for a high-order accuracy enhancement by quantifying uncertainty in its predictions. In Phase I, IHIO will demonstrate the feasibility of VeNEC by developing a framework consisting of multi-level neuron-based nonlinear filters and nondeterministic error verification AI and by testing it on a sample problem. Approved for Public Release | 22-MDA-11215 (27 Jul 22)

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.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

5 SBIR/STTR records share this UEI (2021–2024). Reported award amounts total $1,724,875. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

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