Special Issue on Advanced Technology of Intelligent Control and Simulation Evaluation-Reference-Cited by-同舟云学术

Special Issue on Advanced Technology of Intelligent Control and Simulation Evaluation

Published:2023-09-28 Issue:19 Volume:13 Page:10793
ISSN:2076-3417
Container-title:Applied Sciences
language:en
Short-container-title:Applied Sciences

Author:

Guo Yangming¹,Long Jiang²^ORCID,Li Qingdong³,Liu Zun²

Affiliation:

1. School of Cybersecurity, Northwestern Polytechnical University, Xi’an 710072, China

2. School of Computer Science, Northwestern Polytechnical University, Xi’an 710072, China

3. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China

Abstract

Control and simulation evaluation have experienced a rapid development during the last few decades [...]

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Link

https://www.mdpi.com/2076-3417/13/19/10793/pdf

Reference8 articles.

1. Liu, H., Yu, Q., and Wu, Q. (2023). PID control model based on back propagation neural network optimized by adversarial learning-based grey wolf optimization. Appl. Sci., 13.

2. Huang, X., Zhang, Y., Liu, J., Zhong, H., Wang, Z., and Peng, Y. (2022). Error dynamics based dual heuristic dynamic programming for self-learning flight control. Appl. Sci., 13.

3. Shahid, M.A., Alam, M.M., and Suud, M.M. (2023). A systematic parameter analysis of cloud simulation tools in cloud computing environments. Appl. Sci., 13.

4. Yang, H., Zhao, S., Shi, X., Zhang, S., and Guo, Y. (2023). DAG hierarchical schedulability analysis for avionics hypervisor in multicore processors. Appl. Sci., 13.

5. Shahid, M.A., Alam, M.M., and Suud, M.M. (2023). Performance evaluation of load-balancing algorithms with different service broker policies for cloud computing. Appl. Sci., 13.