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 …

The trend of developing fractional gradient based iterative adaptive strategies is evolved in
the recent years through effectively exploring the fractional and fractal dynamics. In this …

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) …

For a multivariable Hammerstein controlled autoregressive moving average system
(CARMA) system, the identification difficulty is hard to parameterize the system into an quasi …

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 …

Recently, a quasi-fractional order gradient descent (QFGD) algorithm was proposed and
successfully applied to solve system identification problem. The QFGD suffers from the …

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 …

Recently, recommender systems are getting popular in the e-commerce industry for
retrieving and recommending most relevant information about items for users from large …

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 …

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 …