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Matrix Integrators For Real-Time Simulation| Format | Member Price | Non-Member Price |
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Paper Abstract
This paper contains a discussion of numerical integration methods with regression coefficients that are matrices rather than the usual scalars. Methods of this type will be shown to be particularly useful for real-time simulations as they allow arbitrary placement of the simulation closed loop poles. This property is generally very useful, but especially so for the real-time simulation of stiff systems. Linear systems will be considered initially, followed by obvious extensions to nonlinear systems. Adaptive integration using these methods will also be introduced.
Paper Details
Date Published: 19 October 1987
PDF: 7 pages
Proc. SPIE 0853, IECON '87: Industrial Applications of Control and Simulation, (19 October 1987); doi: 10.1117/12.942943
Published in SPIE Proceedings Vol. 0853:
IECON '87: Industrial Applications of Control and Simulation
Tom T. Hartley, Editor(s)
PDF: 7 pages
Proc. SPIE 0853, IECON '87: Industrial Applications of Control and Simulation, (19 October 1987); doi: 10.1117/12.942943
Show Author Affiliations
Tom T. Hartley, The University of Akron (United States)
G. O. Beale, George Mason University (United States)
Published in SPIE Proceedings Vol. 0853:
IECON '87: Industrial Applications of Control and Simulation
Tom T. Hartley, Editor(s)
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