Time-varying Schur decomposition via Zhang neural dynamics
| Autor: | Yunong Zhang, Zhonghua Li, Jianrong Chen, Huanchang Huang, Liangjie Ming |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
Cognitive Neuroscience Dynamics (mechanics) Zhàng 02 engineering and technology Computer Science Applications 020901 industrial engineering & automation Schur decomposition Artificial Intelligence Convergence (routing) Time derivative 0202 electrical engineering electronic engineering information engineering Applied mathematics 020201 artificial intelligence & image processing Mathematics |
| Zdroj: | Neurocomputing. 419:251-258 |
| ISSN: | 0925-2312 |
| DOI: | 10.1016/j.neucom.2020.07.115 |
| Popis: | By applying Zhang neural dynamics method, this study proposed, analyzed, and investigated a continuous-time model for solving the time-varying Schur decomposition (SD) problem. The proposed model is an explicit dynamics model that utilizes the time derivative information. The theoretical analysis of the proposed model is presented to verify its convergence and efficiency in solving the time-varying SD problem. Furthermore, the proposed model is used to perform the SD of three time-varying matrices with different dimensions. Results confirm the effectiveness of the proposed model. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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