Constrained dynamic systems estimation based on adaptive particle filter

DOI10.1155/2014/589347zbMath1407.93443OpenAlexW1991681364WikidataQ59066289 ScholiaQ59066289MaRDI QIDQ1718728

Weili Xiong, Baoguo Xu, Mingchen Xue

Publication date: 8 February 2019

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/589347

Mathematics Subject Classification ID

Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10) Stochastic learning and adaptive control (93E35)

Cites Work

• Unnamed Item
• Optimal control of nonlinear systems: A recursive approach
• On the use of constraints in least squares estimation and control
• Bayesian estimation via sequential Monte Carlo sampling-Constrained dynamic systems
• A method for suboptimal design of nonlinear feedback systems
• Data-driven monitoring for stochastic systems and its application on batch process
• Sequential Monte Carlo Methods for Dynamic Systems
• Gaussian particle filtering

This page was built for publication: Constrained dynamic systems estimation based on adaptive particle filter