Jun Wang - Selected Publications#

Z. Peng, J. Wang, and Q.L. Han, “Path-following control of autonomous underwater vehicles subject to velocity and input constraints via neurodynamic optimization,” IEEE Transactions on Industrial Electronics, vol. 66, no. 11, pp. 8724-8732, November 2019.
Highly-cited paper.

Z. Peng, J.S. Wang, and J. Wang, “Constrained control of autonomous underwater vehicles based on command optimization and disturbance estimation,” IEEE Transactions on Industrial Electronics, vol. 66, no. 5, pp. 3627-3635, May 2019.
Highly-cited paper.

Z. Peng, J. Wang, and D. Wang, “Distributed maneuvering of autonomous surface vehicles based on neurodynamic optimization and fuzzy approximation,” IEEE Transactions on Control Systems Technology, vol. 26, no. 3, pp. 1083-1090, May 2018.
Highly-cited paper.

Z. Peng, J. Wang, and D. Wang, “Distributed containment maneuvering of multiple marine vessels via neurodynamics-based output feedback,” IEEE Transactions on Industrial Electronics, vol. 64, no. 5, pp. 3831-3839, May 2017.
Highly-cited paper.

S. Yang, Q. Liu, and J. Wang, “Distributed optimization based on a multi-agent system in the presence of communication delays,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 47, no. 5, pp. 717-728, May 2017.
Highly-cited paper.

Z. Peng, J. Wang, and D. Wang, “Distributed containment maneuvering of multiple marine vessels via neurodynamics-based output feedback,” IEEE Transactions on Industrial Electronics, vol. 64, no. 5, pp. 3831-3839, May 2017.
Highly-cited paper.

Z. Guo, J. Wang, and Z. Yan, “Global exponential synchronization of two memristor-based recurrent neural networks with time delays via static or dynamic coupling,” IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 45, no. 2, pp. 235-249, February 2015.
Highly-cited paper.

Z. Guo, J. Wang, and Z. Yan, “Global exponential dissipativity and stabilization of memristor-based recurrent neural networks with time-varying delays,” Neural Networks, vol. 48, pp. 158-172, December 2013.
Highly-cited paper.

Z. Guo, J. Wang, and Z. Yan, “Global exponential dissipativity and stabilization of memristor-based recurrent neural networks with time-varying delays,” Neural Networks, vol. 48, pp. 158-172, December 2013.
Highly-cited paper.

J. Hu and J. Wang, “Global stability of complex-valued recurrent neural networks with time-delays,” IEEE Transactions on Neural Networks and Learning Systems, vol. 23, no. 6, pp. 853-865, June 2012.
Highly-cited paper.

Q. Liu and J. Wang, “A one-layer recurrent neural network with a discontinuous hard-limiting activation function for quadratic programming,” IEEE Transactions on Neural Networks, vol. 19, no. 4, pp. 558-570, April 2008.
Outstanding Paper Award