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SBIR Phase I: Nonlinear Modeling in the Presence of Disturbances Using…

Award Information

Agency:
National Science Foundation
Branch:
N/A
Award ID:
69353
Program Year/Program:
2004 / SBIR
Agency Tracking Number:
0339249
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Pegasus Technologies Inc
5970 Heisley Road Mentor, OH 44060
View profile »
Woman-Owned: Yes
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2004
Title: SBIR Phase I: Nonlinear Modeling in the Presence of Disturbances Using Support Vector Machines
Agency: NSF
Contract: 0339249
Award Amount: $99,977.00
 

Abstract:

This Small Business Innovation Research Phase I project will investigate novel algorithms for developing nonlinear models based upon time series data that is affected by disturbances. The Box-Jenkins algorithm has been the standard approach over the past few decades for developing models for time-series systems that are affected by disturbances. In recent years, Support Vector Machines (SVMs) have been used to create accurate nonlinear models based upon empirical data. The proposed SBIR research will investigate combining SVM modeling approaches with Box-Jenkins type disturbance rejection techniques. Such an approach would be significantly more computationally efficient, thus, allowing commercialization of the algorithms. Because modeling of nonlinear time-series based systems that are affected by disturbances is commonly encountered across a wide variety of fields including economics, the process industries, engineering, psychology and defense, the proposed research has wide applicability.

Principal Investigator:

Stephen Piche
PI
4403577794
nparikh@pegasustec.com

Business Contact:

Patrick Flaherty
4403587740
pflaherty@pegasustec.com
Small Business Information at Submission:

Pegasus Technologies Inc
5970 Heisley Road Mentor, OH 44060

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