Results 211 to 220 of about 17,399 (237)

Annals of Economic and Social Measurement, Volume 1, number 4 [PDF]

Michael Athans
core  

A Learning Theory Approach to System Identification and Stochastic Adaptive Control

Journal of Process Control, 2006
In this chapter, we present an approach to system identification based on viewing identification as a problem in statistical learning theory. Apparently, this approach was first mooted in [396]. The main motivation for initiating such a program is that traditionally system identification theory provide asymptotic results.
M. Vidyasagar, Rajeeva L. Karandikar
openaire   +2 more sources

Theory and algorithm of optimal control solution to dynamic system parameters identification (II) — Stochastic system parameters identification and application example

Applied Mathematics and Mechanics, 1999
For Part I see ibid., 135-142 (1999; Zbl 0933.93031). This paper deals with a dynamic system and its parameter identification. Stochastic optimal control theory is used after using a procedure with Hamilton-Jacobi-Bellman equations for a parameter identification problem.
Wu, Zhigang, Wang, Benli, Ma, Xingrui
openaire   +4 more sources

Stochastic parallel model adaptation: theory and applications to active noise canceling, feedforward control, IIR filtering, and identification

IEEE Transactions on Automatic Control, 1992
Summary: We consider general stochastic parallel model adaptation problems which consist of an unknown linear time-invariant system and a partially or wholly tunable system connected in parallel, with a common input. The goal of adaptation is to tune the partially tunable system so that its output matches that of the unknown system, despite the ...
Ren, Wei, Kumar, P. R.
openaire   +2 more sources

An Asymptotic Theory of Joint Sequential Changepoint Detection and Identification for General Stochastic Models

IEEE Transactions on Information Theory, 2021
Alexander G Tartakovsky
exaly  

A new iteration regularization method for dynamic load identification of stochastic structures

Mechanical Systems and Signal Processing, 2021
Linjun Wang, Youxiang Xie, Yixian Du
exaly  

Finite-time partial topology identification of stochastic multi-group models with multiple dispersal and time delay by graph theory

2022
Yuli Feng, Chunmei Zhang
exaly  

Random dynamic load identification for stochastic structural-acoustic system using an adaptive regularization parameter and evidence theory

Journal of Sound and Vibration, 2020
Z C He, Zhuomin Zhang, Eric Li
exaly