Three‐stage forgetting factor stochastic gradient parameter estimation methods for a class of nonlinear systems
Y Ji, Z Kang - International Journal of Robust and Nonlinear …, 2021 - Wiley Online Library
This article focuses on the parameter estimation for a class of nonlinear systems, that is,
multi‐input single‐output or two‐input single‐output Hammerstein finite impulse response …
multi‐input single‐output or two‐input single‐output Hammerstein finite impulse response …
Design of fractional hierarchical gradient descent algorithm for parameter estimation of nonlinear control autoregressive systems
The trend of develo** fractional gradient based iterative adaptive strategies is evolved in
the recent years through effectively exploring the fractional and fractal dynamics. In this …
the recent years through effectively exploring the fractional and fractal dynamics. In this …
Design of multi innovation fractional LMS algorithm for parameter estimation of input nonlinear control autoregressive systems
The development of procedures based on fractional calculus is an emerging research area.
This paper presents a new perspective regarding the fractional least mean square (FLMS) …
This paper presents a new perspective regarding the fractional least mean square (FLMS) …
An interactive maximum likelihood estimation method for multivariable Hammerstein systems
D Wang, Q Fan, Y Ma - Journal of the Franklin Institute, 2020 - Elsevier
For a multivariable Hammerstein controlled autoregressive moving average system
(CARMA) system, the identification difficulty is hard to parameterize the system into an quasi …
(CARMA) system, the identification difficulty is hard to parameterize the system into an quasi …
[HTML][HTML] An innovative fractional order LMS algorithm for power signal parameter estimation
Parameter estimation is an important issue for the quality monitoring and reliability
assessment of power systems. In this study, an innovative fractional order least mean square …
assessment of power systems. In this study, an innovative fractional order least mean square …
Hierarchical quasi-fractional gradient descent method for parameter estimation of nonlinear ARX systems using key term separation principle
Recently, a quasi-fractional order gradient descent (QFGD) algorithm was proposed and
successfully applied to solve system identification problem. The QFGD suffers from the …
successfully applied to solve system identification problem. The QFGD suffers from the …
Fractional LMS and NLMS algorithms for line echo cancellation
In long haul communication environments, speech data transmission is severely affected by
echoes. This phenomenon results in high bit errors as well as in degraded and annoying …
echoes. This phenomenon results in high bit errors as well as in degraded and annoying …
Fractional stochastic gradient descent for recommender systems
Recently, recommender systems are getting popular in the e-commerce industry for
retrieving and recommending most relevant information about items for users from large …
retrieving and recommending most relevant information about items for users from large …
[HTML][HTML] Normalized fractional adaptive methods for nonlinear control autoregressive systems
The trend of applying mathematical foundations of fractional calculus to solve problems
arising in nonlinear sciences, is an emerging area of research with growing interest …
arising in nonlinear sciences, is an emerging area of research with growing interest …
Design of sign fractional optimization paradigms for parameter estimation of nonlinear Hammerstein systems
Fractional calculus plays a fundamental role in understanding the physics of nonlinear
systems due to its heritage of uncertainty, nonlocality and complexity. In this study, novel …
systems due to its heritage of uncertainty, nonlocality and complexity. In this study, novel …