Xuyang Lou

Professor

Institute of System Engineering

Jiangnan University

Wuxi 214122, China

E-mail:Louxy@jiangnan.edu.cn

Research Interests

●Hybrid dynamical systems

●Neurodynamic optimization

●Complex networks

1. Education Background

● Ph.D.inControl Theory and Control Engineering,Jiangnan University, 2009.12

● B.S.inElectrical Engineering,Zhejiang Ocean University, 2004.06

2.Professional Positions

Professor

School of Internet of Things Engineering, Jiangnan University,Wuxi,China.2017-present

AssociateProfessor

School of Internet of Things Engineering, Jiangnan University,Wuxi,China.2011-2017

Visiting Scholar

Department of Computer Engineering, University of California at Santa Cruz, USA.

2014-2015.

Postdoctoral

Department of Electrical Engineering (ESAT-SCD), Katholieke Universiteit Leuven, Belgium. 2010.

Visiting Scholar

CSIRO Division of Mathematical and Information Sciences, Adelaide, Australia. 2007-2008.

3.Teaching Experience

Instructor.Undergraduate Course: “Automatic Control Principle.”Department of Automation,JiangnanUniversity.Fall2012, Fall 2013, Fall 2015, Fall 2016, Fall 2017 and Spring 2018.

Instructor.Undergraduate Course: “Modern Control Theory.”Department of Automation,JiangnanUniversity.Fall2012, Spring 2014, Spring 2015, Spring 2016, Spring 2017 and Spring 2018.

Instructor.Graduate Course: “Nonlinear Systems.”Department of Automation,JiangnanUniversity.Fall 2017.

Instructor.Undergraduate Course: “Embeded System Design.”Department of Automation,JiangnanUniversity.Spring2013, Fall2015, Fall2017.

4. ResearchProjects

● 2015-2018: Research project “Optimal control and application of coupled neural system based on hybrid modeling” supported by the National Natural Science Foundation of China (Grant No. 61473136) (As a director)

● 2013-2015: Research project “Modeling and analysis of coupled neural systems” supported by the Fundamental Research Funds for the Central Universities (Grant No. JUSRP51322B) (As a director)

● 2012-2014: Research project “Modeling and analysis of biological neural networks under mesoscale level” supported by the National Natural Science Foundation of China (Grant No. 61104155) (As a director)

● 2010-2012: Research project “On complexity and control problems of genetic regulatory networks” supported by theFundamental Research Funds for the Central Universities(Grant No. JUSRP11021) (As a director)

5. Patents

●“An optimal space filling design method in high-throughput combinatorial experimentation”, China Patent,Grant No.ZL200910026224.9, April 2011.

●“A secure communication schemeunderachaotic neural network”, China Patent,Grant No. ZL200910029670.5, March 2013.

●“Node layout method of wireless sensor networksbased onanadaptive CSA algorithm”, China Patent,Grant No.ZL201210038481.6, June 2014.

●“A reconstruction technique of genemotifsbased onmemetic algorithm”, China Patent,Grant No. ZL201310525115.8, November 2017.

6. Selected Publications

[1]Xuyang Lou, Y. Li, R. G. Sanfelice. Robust stability of hybrid limit cycles with multiple jumps in hybrid dynamical systems.IEEE Transactions on Automatic Control,vol. 63, no. 4, pp.1220-1226, 2018.

[2]Xuyang Lou, M.N.S. Swamy. A new approach to optimal control of conductance-based spiking neurons.Neural Networks,vol.96, pp.128-136,2017.

[3]Xuyang Lou, J.A.K. Suykens.Hybridcoupled local minimizers.IEEE Transactions on Circuits and Systems I: Regular Papers, vol.61, no.2, pp.542-551,2014.

[4]Xuyang Lou, J.A.K. Suykens. Stability of coupled local minimizers within the Lagrange programming network framework.IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 60, no. 2, pp. 377-388, 2013.

[5]Xuyang Lou, Y. Li, R. G. Sanfelice. Existence of hybrid limit cycles and Zhukovskii stability in hybrid systems.2017 American Control Conference, May 24–26, 2017, Seattle, USA, pp. 1187-1192.

[6]Xuyang Lou, J.A.K. Suykens. Finding communities in weighted networks through synchronization,Chaos, vol. 21, no. 4, pp. 043116, 2011.

[7]Xuyang Lou, Zhengxian Jiang. Event-triggered control of spatially distributed processes via unmanned aerial vehicle.International Journal of Advanced Robotic Systems, 2016, 13:1-9

[8]Q. Ye, Xuyang Lou, L. Sheng. Generalized predictive control of a class of MIMO models via a projection neural network.Neurocomputing, 2017, 234, 192-197.

[9]Xuyang Lou, B. Cui, Delay-dependent criteria for global robust periodicity of uncertain switched recurrent neural networks with time-varying delay,IEEE Transactions on Neural Networks, vol. 19, no. 4, pp. 549-557, 2008.

[10]Xuyang Lou, B. Cui. Adaptive consensus filters for second-order distributed parameter systems using sensor networks.Circuits, Systems & Signal Processing, 2015, 34(9): 2801-2818.

[11]Xuyang Lou,Q. Ye, B. Cui.Exponential stability of genetic regulatory networks with random delays,Neurocomputing, vol. 73, no. 4-6, pp. 759–769, 2010.

[12]Xuyang Lou, B. Cui. Passive control of uncertain multiple input-delayed systems using reduction method,Mathematics and Computers in Simulation, vol. 80, no. 12, pp. 2258-2271, 2010.

[13]Xuyang Lou, B. Cui, Boundedness and stability for integrodifferential equations modeling neural field with time delay,Neural Computation, vol. 19, no. 2, pp. 570-581, 2007.

[14]Xuyang Lou, B. Cui, Robust asymptotic stability of uncertain fuzzy BAM neural networks with time-varying delays,Fuzzy Sets and Systems, vol. 158, no. 24, pp. 2746-2756, 2007.

[15]Xuyang Lou, B. Cui, Stochastic exponential stability for Markovian jumping BAM neural networks with time-varying delays,IEEE Transactions on Systems, Man and Cybernetics-Part B, vol. 37, no. 3, pp. 713-719, 2007.