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Complexity
Volume 2017, Article ID 1895897, 14 pages
https://doi.org/10.1155/2017/1895897
Review Article

A Brief Review of Neural Networks Based Learning and Control and Their Applications for Robots

1Key Laboratory of Autonomous Systems and Networked Control, College of Automation Science and Engineering, South China University of Technology, Guangzhou, China
2Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming, China
3School of Engineering and Material Sciences, Queen Mary University of London, London, UK
4School of Engineering and Informatics, University of Sussex, Brighton, UK
5National Institute of Advanced Industrial Science and Technology, Tokyo, Japan

Correspondence should be addressed to Chenguang Yang; gro.eeei@gnayc

Received 15 June 2017; Accepted 1 October 2017; Published 31 October 2017

Academic Editor: Thierry Floquet

Copyright © 2017 Yiming Jiang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [8 citations]

The following is the list of published articles that have cited the current article.

  • Qing Guo, Xiaochai Li, and Dan Jiang, “Full-State Error Constraints Based Dynamic Surface Control of Electro-Hydraulic System,” IEEE Access, vol. 6, pp. 53092–53101, 2018. View at Publisher · View at Google Scholar
  • M. I. Dieste-Velasco, M. Diez-Mediavilla, and C. Alonso-Tristán, “Regression and ANN Models for Electronic Circuit Design,” Complexity, vol. 2018, pp. 1–9, 2018. View at Publisher · View at Google Scholar
  • Maode Yan, Jiacheng Song, Panpan Yang, and Lei Zuo, “Neural Adaptive Sliding-Mode Control of a Bidirectional Vehicle Platoon with Velocity Constraints and Input Saturation,” Complexity, vol. 2018, pp. 1–11, 2018. View at Publisher · View at Google Scholar
  • Yunjian Peng, Birong Zhao, Weijie Sun, and Feiqi Deng, “Exponential Stabilization of Coupled Hybrid Stochastic Delayed BAM Neural Networks: A Periodically Intermittent Control Method,” Complexity, vol. 2018, pp. 1–14, 2018. View at Publisher · View at Google Scholar
  • Oscar Chang, “Self-programming Robots Boosted by Neural Agents,” Brain Informatics, vol. 11309, pp. 448–457, 2018. View at Publisher · View at Google Scholar
  • Li Wang, Lijun Zhao, Guanglei Huo, Ruifeng Li, Zhenghua Hou, Pan Luo, Zhenye Sun, Ke Wang, and Chenguang Yang, “Visual Semantic Navigation Based on Deep Learning for Indoor Mobile Robots,” Complexity, vol. 2018, pp. 1–12, 2018. View at Publisher · View at Google Scholar
  • Yanchao Sun, Liangliang Chen, Hongde Qin, and Wenjia Wang, “Distributed finite-time coordinated tracking control for multiple Euler–Lagrange systems with input nonlinearity,” Nonlinear Dynamics, vol. 95, no. 3, pp. 2395–2414, 2019. View at Publisher · View at Google Scholar
  • Shixi Tang, Jinan Gu, Keming Tang, Wei Ding, and Zhengyang Shang, “Eigen Solution of Neural Networks and Its Application in Prediction and Analysis of Controller Parameters of Grinding Robot in Complex Environments,” Complexity, vol. 2019, pp. 1–21, 2019. View at Publisher · View at Google Scholar