Joint Parameter and State Estimation Based on Marginal Particle Filter and Particle Swarm Optimization

被引：7

作者：

Havangi, Ramazan ^{[1
]}

机构：

[1] Univ Birjand, Fac Elect & Comp Engn, Birjand, Iran

来源：

CIRCUITS SYSTEMS AND SIGNAL PROCESSING | 2018年 / 37卷 / 08期

关键词：

Extended marginal particle filter; Particle filter; PSO; Dual estimation; MODELS; IDENTIFICATION; ALGORITHMS; KALMAN;

D O I：

10.1007/s00034-017-0721-4

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, a method for the dual estimation is proposed. This approach combines extended marginal particle filter (EMPF) with particle swarm optimization (PSO) for simultaneous estimation of state and parameter values in nonlinear stochastic state-space models. In the proposed method, the states are estimated by EMPF and the parameters are estimated by PSO. The performance of proposed algorithm is evaluated in two examples. Simulation results demonstrate the feasibility and efficiency of the proposed method.

引用

页码：3558 / 3575

页数：18

共 32 条

[1] Particle methods for change detection, system identification, and control [J].

Andrieu, C ;

Doucet, A ;

Singh, SS ;

Tadic, VB .

PROCEEDINGS OF THE IEEE, 2004, 92 (03) :423-438

[2]

[Anonymous], P 44 IEEE C DEC CONT

[3] A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking [J].

Arulampalam, MS ;

Maskell, S ;

Gordon, N ;

Clapp, T .

IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2002, 50 (02) :174-188

[4] Dual estimation of partially observed nonlinear structural systems: A particle filter approach [J].

Azam, Saeed Eftekhar ;

Mariani, Stefano .

MECHANICS RESEARCH COMMUNICATIONS, 2012, 46 :54-61

[5] Dynamic conditional independence models and Markov chain Monte Carlo methods [J].

Berzuini, C ;

Best, NG ;

Gilks, WR ;

Larizza, C .

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1997, 92 (440) :1403-1412

[6] Resampling algorithms and architectures for distributed particle filters [J].

Bolic, M ;

Djuric, PM ;

Hong, SJ .

IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2005, 53 (07) :2442-2450

[7] An overview of existing methods and recent advances in sequential Monte Carlo [J].

Cappe, Olivier ;

Godsill, Simon J. ;

Moulines, Eric .

PROCEEDINGS OF THE IEEE, 2007, 95 (05) :899-924

[8] Simulation-based sequential analysis of Markov switching stochastic volatility models [J].

Carvalho, Carlos M. ;

Lopes, Hedibert F. .

COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2007, 51 (09) :4526-4542

[9] Analysis of filtering and smoothing algorithms for Levy-driven stochastic volatility models [J].

Creal, Drew D. .

COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2008, 52 (06) :2863-2876

[10] Parameter estimation in general state-space models using particle methods [J].

Doucet, A ;

Tadic, VB .

ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2003, 55 (02) :409-422

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