Identification of partially known non‐linear stochastic spatio‐temporal dynamical systems by using a novel partially linear Kernel method-Reference-Cited by-同舟云学术

Identification of partially known non‐linear stochastic spatio‐temporal dynamical systems by using a novel partially linear Kernel method

Published:2015-01 Issue:1 Volume:9 Page:21-33
ISSN:1751-8652
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Applications

Author:

Ning Hanwen¹,Jing Xingjian²³

Affiliation:

1. School of Statistics and Mathematics, Zhongnan University of Economics and LawWuhanHubeiPeople's Republic of China

2. Department of Mechanical EngineeringHong Kong Polytechnic UniversityHungHom, KowloonHong KongPeople's Republic of China

3. Hong Kong Polytechnic University, Shenzhen Research InstituteShenzhenPeople's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cta.2014.0242

Reference59 articles.

1. Stochastic Equations in Infinite Dimensions

2. Stochastic Partial Differential Equations

3. Stochastic Partial Differential Equations with Levy Noise

4. Controllability of linear stochastic systems;Mahmudov N.I.;IEEE Trans. Autom. Control,2001

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