Identification of lumped linear time-varying systems via block-pulse functions

DOI10.1080/00207178408933294zbMath0543.93016OpenAlexW2028118989WikidataQ126245712 ScholiaQ126245712MaRDI QIDQ3332855

Hwang, Chyi, Tong-Yi Guo

Publication date: 1984

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207178408933294

zbMATH Keywords

least-squaresrecursive algorithmoperational matricesorthogonal block-pulse functions

Mathematics Subject Classification ID

System identification (93B30) Linear systems in control theory (93C05) Orthogonal polynomials and functions of hypergeometric type (Jacobi, Laguerre, Hermite, Askey scheme, etc.) (33C45) Fourier series in special orthogonal functions (Legendre polynomials, Walsh functions, etc.) (42C10) Model systems in control theory (93C99) Classical operational calculus (44A45)

Related Items

Parameter estimation of time-varying systems via Chebyshev polynomials of the second kind, Identification of linear periodically time-varying systems using white- noise test inputs, Recursive computational algorithms for a set of block pulse operational matrices, Parameter identification of time-varying system via generalized orthogonal polynomials, Adaptive identification and control of time-varying stochastic systems using ‘semi-periodic’ functions, Parameter or non-parameter identification of distributed parameter systems via block-pulse functions, Identification of a class of continuous time-varying linear systems via block pulse functions, Parameter identification of a class of time-varying systems via orthogonal shifted Legendre polynomials

Cites Work

• Bilinear system identification by block pulse functions
• Parameter Estimation of Delay Systems Via Block Pulse Functions
• Linear feedback system identification via block-pulse functions
• A general algorithm for parameter identification in lumped continuous systems--The Poisson moment functional approach
• Generalized block-pulse operational matrices and their applications to operational calculus
• Identification of non-linear distributed systems via block-pulse functions
• Single-input-single-output system identification via block-pulse functions