Opposition- based simulated kalman filters and their application in system identification
Metaheuristic optimization algorithms are well-established techniques to address those problems which are difficult to solve through traditional optimization methods. Among the various kinds of optimization algorithms, Simulated Kalman Filter (SKF) is a new population-based optimization algorithm in...
Similar Items
-
Simultaneous computation of model order and parameter estimation for system identification based on opposition-based simulated Kalman filter
by: Badaruddin, Muhammad, et al.
Published: (2018) -
An oppositional learning prediction operator for simulated kalman filter
by: Zuwairie, Ibrahim, et al.
Published: (2018) -
Adaptive Beamforming Algorithm based on Generalized Opposition-based Simulated Kalman Filter
by: Kelvin, Lazarus, et al.
Published: (2016) -
Oppositional learning prediction operator with jumping rate for simulated kalman filter
by: Badaruddin, Muhammad, et al.
Published: (2019) -
Enhancing simulated kalman filter algorithm using current optimum opposition-based learning
by: Kamil Zakwan, Mohd Azmi, et al.
Published: (2019)