Parameter Estimation of Wiener Systems Based on the Particle Swarm Iteration and Gradient Search Principle
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Parameter Estimation of Wiener Systems Based on the Particle Swarm Iteration and Gradient Search Principle
Authors
Keywords
-
Journal
CIRCUITS SYSTEMS AND SIGNAL PROCESSING
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-01-07
DOI
10.1007/s00034-019-01329-1
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Recursive identification of multiple-input single-output fractional-order Hammerstein model with time delay
- (2018) Mohammad Jahani Moghaddam et al. APPLIED SOFT COMPUTING
- Non-linear system identification of a latent heat thermal energy storage system
- (2018) F. Ghani et al. APPLIED THERMAL ENGINEERING
- A two-experiment approach to Wiener system identification
- (2018) Giulio Bottegal et al. AUTOMATICA
- Robust Fault Detection Filter Design for Nonlinear Networked Control Systems with Time-Varying Delays and Packet Dropout
- (2018) Hossein Kargar et al. CIRCUITS SYSTEMS AND SIGNAL PROCESSING
- Reprint of: On convergence analysis of particle swarm optimization algorithm
- (2018) Gang Xu et al. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
- Particle Swarm Optimization for Single Objective Continuous Space Problems: A Review
- (2017) Mohammad Reza Bonyadi et al. EVOLUTIONARY COMPUTATION
- A fast iterative recursive least squares algorithm for Wiener model identification of highly nonlinear systems
- (2017) Mahdi Kazemi et al. ISA TRANSACTIONS
- An improved PSO algorithm for parameter identification of nonlinear dynamic hysteretic models
- (2017) Junhao Zhang et al. JOURNAL OF SOUND AND VIBRATION
- Gradient iterative algorithm for dual-rate nonlinear systems based on a novel particle filter
- (2017) Jing Chen et al. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
- Parametric Identification with Performance Assessment of Wiener Systems Using Brain Storm Optimization Algorithm
- (2016) Partha Sarathi Pal et al. CIRCUITS SYSTEMS AND SIGNAL PROCESSING
- Combined fitness function based particle swarm optimization algorithm for system identification
- (2016) Jianshan Lu et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Application of Model Predictive Control suitable for closed-loop re-identification to a polymerization reactor
- (2016) G.A. Bustos et al. JOURNAL OF PROCESS CONTROL
- The recursive least squares identification algorithm for a class of Wiener nonlinear systems
- (2016) Feng Ding et al. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
- Parameter identification of nonlinear dynamic systems using an improved particle swarm optimization
- (2016) Yu-xin Zheng et al. OPTIK
- Recursive Least Squares Parameter Estimation for a Class of Output Nonlinear Systems Based on the Model Decomposition
- (2015) Feng Ding et al. CIRCUITS SYSTEMS AND SIGNAL PROCESSING
- A subspace-based identification of Wiener–Hammerstein benchmark model
- (2015) Hajime Ase et al. CONTROL ENGINEERING PRACTICE
- Nonlinear system identification using a cuckoo search optimized adaptive Hammerstein model
- (2015) Akhilesh Gotmare et al. EXPERT SYSTEMS WITH APPLICATIONS
- Wiener–Hammerstein system identification – an evolutionary approach
- (2015) Abdessamad Naitali et al. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
- Wiener system identification with generalized orthonormal basis functions
- (2014) Koen Tiels et al. AUTOMATICA
- EM algorithm-based identification of a class of nonlinear Wiener systems with missing output data
- (2014) Weili Xiong et al. NONLINEAR DYNAMICS
- Identification of Hammerstein nonlinear ARMAX systems using nonlinear adaptive algorithms
- (2014) Naveed Ishtiaq Chaudhary et al. NONLINEAR DYNAMICS
- Application of Improved PSO Algorithm in Hydraulic Pressing System Identification
- (2013) Yu-zhen YU et al. JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL
- Identification of Hammerstein–Wiener models
- (2012) Adrian Wills et al. AUTOMATICA
- A novel particle swarm optimization algorithm with adaptive inertia weight
- (2011) Ahmad Nickabadi et al. APPLIED SOFT COMPUTING
- Intelligent identification and control using improved fuzzy particle swarm optimization
- (2011) Alireza Alfi et al. EXPERT SYSTEMS WITH APPLICATIONS
- Parameter estimation of bilinear systems based on an adaptive particle swarm optimization
- (2010) Hamidreza Modares et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started