Searching for authors named "Brian Armstrong" – sorted by Relevance.
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FLC Design for Bounded Separable Functions with Linear Input-Output Relations as a Special Case
- Separable Functions with Linear Input-Output Relations as a Special Case Brian Armstrong Abstract
- Cited by 1 (0 self) – Add To MetaCart
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A Methodology for Scientific Benchmarking with Large-Scale Applications
- A Methodology for Scientific Benchmarking with Large-Scale Applications Brian Armstrong Rudolf
- Cited by 4 (2 self) – Add To MetaCart
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Performance forecasting: Characterization of applications on current and future architectures
- Brian Armstrong Rudolf Eigenmann Purdue University January 20, 1997 Abstract A common approach
- Cited by 4 (4 self) – Add To MetaCart
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Performance Forecasting: Towards a Methodology for Characterizing Large Computational Applications
- Brian Armstrong Rudolf Eigenmann School of Electrical and Computer Engineering Purdue University
- Cited by 10 (4 self) – Add To MetaCart
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A New Computational Model of Friction Applied to Haptic Rendering
- @(email omitted); Brian Armstrong Department of Electrical Engineering and Computer Science University of Wisconsin
- Cited by 47 (17 self) – Add To MetaCart
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A Controls Laboratory Program with an Accent on System Identification
- A Controls Laboratory Program with an Accent on System Identification Brian Armstrong Department
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Parallel Programming and Performance Evaluation with The Ursa Tool Family
- Voss Brian Armstrong Rudolf Eigenmann School of Electrical and Computer Engineering Purdue University
- Cited by 12 (10 self) – Add To MetaCart
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Single State Elasto-Plastic Models for Friction Compensation
- . Montreal Quebec, H3A 2A7 CANADA (514) 398-5006 hayward@(email omitted); Brian Armstrong Dept. Electrical
- Cited by 1 (1 self) – Add To MetaCart
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Elasto-Plastic Friction Model: Contact Compliance and Stiction
- Elasto-Plastic Friction Model: Contact Compliance and Stiction Pierre Dupont (1) , Brian
- Cited by 8 (2 self) – Add To MetaCart
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Fuzzy Logic Control - A Taxonomy of Demonstrated Benefits
- Fuzzy Logic Control--- A Taxonomy of Demonstrated Benefits DAVID E. THOMAS AND BRIAN ARMSTRONG
- Cited by 3 (0 self) – Add To MetaCart

