Joint interpolation and approximation of causal systems
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Publication:1141106
DOI10.1016/0022-247X(79)90236-1zbMath0436.93015OpenAlexW2087913615MaRDI QIDQ1141106
Publication date: 1979
Published in: Journal of Mathematical Analysis and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0022-247x(79)90236-1
System identification (93B30) Abstract approximation theory (approximation in normed linear spaces and other abstract spaces) (41A65) Interpolation in approximation theory (41A05) Approximation by operators (in particular, by integral operators) (41A35) Controllability, observability, and system structure (93B99)
Cites Work
- Causality structure and the Weierstrass theorem
- Synthesis of Polynomic Systems
- Optimal input signals for parameter estimation in dynamic systems--Survey and new results
- Data interpolation, causality structure, and system identification
- Causal Realization from Input-Output Pairs
- The interrelationship between observers and system sensitivity
- The Volterra Representation and the Wiener Expansion: Validity and Pitfalls
- Approximation by bernstein systems
- Partial system inverses for adaptation, parameter estimation, and sensitivity reduction
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