Research and application on fractional-order Darwinian PSO based adaptive extended kalman filtering algorithm
نویسندگان
چکیده
منابع مشابه
Introducing the Fractional Order Robotic Darwinian PSO
The Darwinian Particle Swarm Optimization (DPSO) is an evolutionary algorithm that extends the Particle Swarm Optimization using natural selection to enhance the ability to escape from sub-optimal solutions. An extension of the DPSO to multi-robot applications has been recently proposed and denoted as Robotic Darwinian PSO (RDPSO), benefiting from the dynamical partitioning of the whole populat...
متن کاملIntroducing the fractional-order Darwinian PSO
One of the most well-known bio-inspired algorithms used in optimization problems is the particle swarm optimization (PSO), which basically consists on a machinelearning technique loosely inspired by birds flocking in search of food. More specifically, it consists of a number of particles that collectively move on the search space in search of the global optimum. The Darwinian particle swarm opt...
متن کاملAdaptive Filtering: Standard LMS vs. Darwinian Algorithm
In this paper we concentrate on the problem of comparing the effectiveness of the Darwinian, and Least Square methods, with the influence of the input signal (statistics) spreadness highlighted. Our approach in this paper is to carry out an extensive suite of simulations for both the Darwinian algorithm and LMS algorithm under varying initial conditions and eigenvalue spread of the signal autoc...
متن کاملSingle Channel Adaptive Kalman Filtering – Based Speech Enhancement Algorithm
This paper deals with the problem of speech enhancement when a corrupted speech signal with an additive Gaussian white noise is the only information available for processing. Speech enhancement aims to improve speech quality by using various algorithms. The objective of enhancement is improvement in intelligibility and/or overall perceptual quality of degraded speech signal using audio signal p...
متن کاملOn-Line Nonlinear Dynamic Data Reconciliation Using Extended Kalman Filtering: Application to a Distillation Column and a CSTR
Extended Kalman Filtering (EKF) is a nonlinear dynamic data reconciliation (NDDR) method. One of its main advantages is its suitability for on-line applications. This paper presents an on-line NDDR method using EKF. It is implemented for two case studies, temperature measurements of a distillation column and concentration measurements of a CSTR. In each time step, random numbers with zero m...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IAES International Journal of Robotics and Automation (IJRA)
سال: 2014
ISSN: 2089-4856
DOI: 10.11591/ijra.v3i4.6014