Biologically Learned/Inspired Methods for Sensing, Control, and Decision

被引：5

作者：

Song, Yongduan ^{[1
]}

Si, Jennie ^{[2
]}

Coleman, Sonya ^{[3
]}

Kerr, Dermot ^{[3
]}

机构：

[1] Chongqing Univ, Sch Automat, Chongqing 400044, Peoples R China

[2] Arizona State Univ, Sch Elect Comp & Energy Engn, Tempe, AZ 85281 USA

[3] Univ Ulster, Intelligent Syst Res Ctr, Derry BT48 7JL, Londonderry, North Ireland

来源：

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS | 2022年 / 33卷 / 05期

关键词：

731.1 Control Systems;

D O I：

10.1109/TNNLS.2022.3161003

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The Special Issue aims at collecting new ideas and contributions at the frontier of bridging the gap between biological and engineering systems. Contributions include a wide range of related research topics, from neural computing to adaptive control and cooperative control, from autonomous decision systems to mathematical and computational models, and from neuropsychology-based decision and control to engineering system sensing and control algorithms, as well as applications and case studies of biologically inspired systems. This editorial note provides a brief overview of the accepted articles. © 2012 IEEE.

引用

页码：1820 / 1824

页数：5

共 30 条

[1] Toward Cognitive Navigation: Design and Implementation of a Biologically Inspired Head Direction Cell Network [J].

Bing, Zhenshan ;

Sewisy, Amir Ei ;

Zhuang, Genghang ;

Walter, Florian ;

Morin, Fabrice O. ;

Huang, Kai ;

Knoll, Alois .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 33 (05) :2147-2158

[2] Asymptotic Tracking Control for Uncertain MIMO Systems: A Biologically Inspired ESN Approach [J].

Chen, Qing ;

Zhao, Kai ;

Li, Xiumin ;

Wang, Yujuan .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 33 (05) :1881-1890

[3] Recognizing Missing Electromyography Signal by Data Split Reorganization Strategy and Weight-Based Multiple Neural Network Voting Method [J].

Duan, Feng ;

Yang, Yikang .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 33 (05) :2070-2079

[4] Bio-Motivated Two-Level Event-Triggered Controller for Nonlinear Systems [J].

Gao, Hui ;

Yin, Le .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 33 (05) :1825-1832

[5] Training Deep Neural Network for Optimal Power Allocation in Islanded Microgrid Systems: A Distributed Learning-Based Approach [J].

Guo, Fanghong ;

Xu, Bowen ;

Zhang, Wen-An ;

Wen, Changyun ;

Zhang, Dan ;

Yu, Li .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 33 (05) :2057-2069

[6] An Event-Based Digital Time Difference Encoder Model Implementation for Neuromorphic Systems [J].

Gutierrez-Galan, Daniel ;

Schoepe, Thorben ;

Dominguez-Morales, Juan P. ;

Jimenez-Fernandez, Angel ;

Chicca, Elisabetta ;

Linares-Barranco, Alejandro .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 33 (05) :1959-1973

[7] Continuous Online Adaptation of Bioinspired Adaptive Neuroendocrine Control for Autonomous Walking Robots [J].

Homchanthanakul, Jettanan ;

Manoonpong, Poramate .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 33 (05) :1833-1845

[8] Memristive Circuit Implementation of a Self-Repairing Network Based on Biological Astrocytes in Robot Application [J].

Hong, Qinghui ;

Chen, Hegan ;

Sun, Jingru ;

Wang, Chunhua .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 33 (05) :2106-2120

[9] Multisample Online Learning for Probabilistic Spiking Neural Networks [J].

Jang, Hyeryung ;

Simeone, Osvaldo .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 33 (05) :2034-2044

[10] Deep Reinforcement Learning With Modulated Hebbian Plus Q-Network Architecture [J].

Ladosz, Pawel ;

Ben-Iwhiwhu, Eseoghene ;

Dick, Jeffery ;

Ketz, Nicholas ;

Kolouri, Soheil ;

Krichmar, Jeffrey L. ;

Pilly, Praveen K. ;

Soltoggio, Andrea .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 33 (05) :2045-2056

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