Empirical Gramian-based spatial basis functions for model reduction of nonlinear distributed parameter systems-Reference-Cited by-同舟云学术

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Empirical Gramian-based spatial basis functions for model reduction of nonlinear distributed parameter systems

Published:2018-03-05 Issue:3 Volume:24 Page:258-274
ISSN:1387-3954
Container-title:Mathematical and Computer Modelling of Dynamical Systems
language:en
Short-container-title:Mathematical and Computer Modelling of Dynamical Systems

Author:

Jiang Mian¹²^ORCID,Wu Jigang¹,Zhang Wenan¹,Li Xuejun²

Affiliation:

1. Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, XiangTan, China

2. Engineering Research Central of Advanced Mining Equipment, Ministry of Education, Hunan University of Science and Technology, XiangTan, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computer Science Applications,Modeling and Simulation,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/13873954.2018.1446448

Reference44 articles.

1. Order reduction and control of hyperbolic, countercurrent distributed parameter systems using method of characteristics

2. Geometric output tracking of nonlinear distributed parameter systems via adaptive model reduction

3. Modification to adaptive model reduction for regulation of distributed parameter systems with fast transients

4. Optimal control of a parabolic distributed parameter system via radial basis functions

5. Dynamic switching based fuzzy control strategy for a class of distributed parameter system

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1. Observability-Based Sensor Selection for a Planar Bending Beam Attached to a Rotating Body;2024 American Control Conference (ACC);2024-07-10

2. System Gramians Evaluation for Hyperbolic PDEs;IFAC-PapersOnLine;2022

3. Error Compensation-based Time-Space Separation Modeling Method for Complex Distributed Parameter Processes;Journal of Process Control;2019-08

4. Modified Empirical Eigenfunctions and Its Applications for Model Reduction of Nonlinear Spatiotemporal Systems;Mathematical Problems in Engineering;2018-11-14

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