IDENTIFICATION OF NONLINEAR DELAY SYSTEMS USING SPLINE METHODS**This research was supported in part by the Air Force Office of Scientific Research under contract #AF-AFOSR 76-3092C, in part by the U.S. Army Research Office under contract #ARO-DAAG29-79-C-0161 and in part by the National Science Foundation under contract #NSF-MCS 7905774.

Author:

Banks H.T.

Publisher

Elsevier

Reference13 articles.

1. “Approximation of nonlinear functional differential equation control systems.”;Banks;J. Optimization Theory Appl.,1979

2. “Spline-based approximation methods for control and identification of hereditary systems.”;Banks,1979

3. “Spline approximations for functional differential equations.”;Banks;J. Diff. Eqns.,1979

4. “Nonlinear Semigroups and Differential Equations in Banach Spaces.”;Barbu,1976

5. “Ordinary Differential Equations.”;Hale,1969

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1. Generalized Sensitivity Analysis for Delay Differential Equations;Control and Optimization with PDE Constraints;2013

2. A parameter sensitivity methodology in the context of HIV delay equation models;Journal of Mathematical Biology;2004-12-20

3. Spline approximations for nonlinear hereditary control systems;Journal of Optimization Theory and Applications;1984-12

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