Hammerstein-Wiener nonlinear system identification by using honey badger algorithm hybridized Sage-Husa adaptive Kalman filter with real-time applications
This paper introduces a hybrid Sage-Husa adaptive Kalman filter (SHAKF) with a
metaheuristic algorithm to estimate the parameters of the Hammerstein-Wiener (HW) model …
metaheuristic algorithm to estimate the parameters of the Hammerstein-Wiener (HW) model …
Improving the modelling efficiency of Hammerstein system using Kalman filter and its parameters optimised using social mimic algorithm: application to heating and …
Identification of Hammerstein systems finds extensive applications in solving the stability
and design issues of non-linear dynamic systems. Hence, in this paper, a first attempt is …
and design issues of non-linear dynamic systems. Hence, in this paper, a first attempt is …
Design of robust adaptive Volterra noise mitigation architecture for sEMG signals using metaheuristic approach
Surface Electromyogram (sEMG) signals, like other electrophysiological measurements, get
corrupted by several artefacts; much critical helpful information regarding a person's clinical …
corrupted by several artefacts; much critical helpful information regarding a person's clinical …
Global gravitational search algorithm-aided Kalman filter design for Volterra-based nonlinear system identification
This paper proposes an efficient global gravitational search (GGS) algorithm-assisted
Kalman filter (KF) design, called a GGS-KF technique, for accurate estimation of the Volterra …
Kalman filter (KF) design, called a GGS-KF technique, for accurate estimation of the Volterra …
Position control of a quadcopter drone using evolutionary algorithms-based self-tuning for first-order Takagi–Sugeno–Kang fuzzy logic autopilots
Trajectory tracking control of a quadcopter drone is a challenging work due to highly-
nonlinear dynamics of the system, coupled with uncertainties in the flight environment (eg …
nonlinear dynamics of the system, coupled with uncertainties in the flight environment (eg …
Wiener model-based system identification using moth flame optimised Kalman filter algorithm
The primary aim of this paper is to pursue the optimal set of Wiener system coefficients using
the meta-heuristic optimisation technique-based Kalman filter (KF). The best estimation of …
the meta-heuristic optimisation technique-based Kalman filter (KF). The best estimation of …
An efficient identification approach for highly complex non-linear systems using the evolutionary computing method based Kalman filter
This paper proposes a new and efficient approach where a nature-inspired optimisation
technique has abetted the Kalman filter (KF) for accurately solving the parametric estimation …
technique has abetted the Kalman filter (KF) for accurately solving the parametric estimation …
Volterra filter modelling of non-linear system using Artificial Electric Field algorithm assisted Kalman filter and its experimental evaluation
The main objective of this paper is to improve the identification efficiency of non-linear
systems using the Kalman filter (KF), which is optimised with the Artificial Electric Field (AEF) …
systems using the Kalman filter (KF), which is optimised with the Artificial Electric Field (AEF) …
Optimal Volterra-based nonlinear system identification using arithmetic optimization algorithm assisted with Kalman filter
This paper presents the handling of nonlinear system identification problem based on
Volterra-type nonlinear systems. An efficient arithmetic optimization algorithm (AOA) along …
Volterra-type nonlinear systems. An efficient arithmetic optimization algorithm (AOA) along …
An Application of Partial Update Kalman Filter for Bilinear System Modelling
L Janjanam, SK Saha, R Kar… - Arabian Journal for …, 2024 - Springer
Bilinear models are a special class of nonlinear models significant for nonlinear systems'
parameter estimation and control design. This study proposes a novel application of partial …
parameter estimation and control design. This study proposes a novel application of partial …