๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Optimal input system identification for nonlinear dynamic systems

โœ Scribed by R. E. Kalaba; K. Spingarn

Publisher
Springer
Year
1977
Tongue
English
Weight
486 KB
Volume
21
Category
Article
ISSN
0022-3239

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Input design for structured nonlinear sy
Input design for structured nonlinear system identification
โœ Tyrone L. Vincent; Carlo Novara; Kenneth Hsu; Kameshwar Poolla ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 632 KB

This paper is concerned with the input design problem for a class of structured nonlinear models. This class contains models described by an interconnection of known linear dynamic systems and unknown static nonlinearities. Many widely used model structures are included in this class. The model clas

Optimal Walsh function input signals for
Optimal Walsh function input signals for parameter identification in identification systems
โœ E.V. Bohn ๐Ÿ“‚ Article ๐Ÿ“… 1985 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 371 KB

Orthogonality of Walsh functions is used to obtain independent parameter estimation equations for continuoustime dynamic systems. The conditioning of these equations is optimized by use of optimum inpqts and is based on maximizing analytic nowlinear functions of Walsh coefficients. ## It is shown

Input identification to a class of nonli
Input identification to a class of nonlinear input-output causal systems
โœ F. Perri; L. Pandolfi ๐Ÿ“‚ Article ๐Ÿ“… 2006 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 758 KB

In this paper, we adapt Lavrent'ev method so to obtain a reconstruction procedure for the input u to a nonlinear input-output system described by a Volterra integral equation. The proof is based on a monotonicity assumption which does not imply the monotonicity of the operators appearing in the Volt