Control Discipline, Northwest University for Nationalities, China
1999, Master of Engineering, Computer Science, Chinese Academy of Sciences, China.
1996, Bachelor of Engineering, Control Engineering, Tsinghua University, China.
N. Cai, Y. Zhong, “Formation controllability of high order linear time-invariant swarm systems”, IET Control Theory Appl., 2010, 4(4), pp. 646-654. (SCI, Q2)
N. Cai, J. Xi, Y. Zhong, “Swarm stability of high order linear time-invariant swarm systems”, IET Control Theory Appl., 2011, 5(2), pp. 402-408. (SCI, Q2)
N. Cai, J. Xi, Y. Zhong, H. Ma, “Controllability improvement for linear time-invariant dynamical multi-agent systems”, Int. J. Innov. Comput. I., 2012, 8(5A), pp. 3315-3328. (SCI, Q1)
N. Cai, J. Cao, H. Ma, C. Wang, "Swarm stability analysis of nonlinear dynamical multi-agent systems via relative Lyapunov function", Arab. J. Sci. Eng., 2014, 39(3), pp. 2427-2434. (SCI, Q3)
N. Cai, J. Cao, M. Liu, H. Ma, “On controllability problems of high-order dynamical multi-agent systems”, Arab. J. Sci. Eng., 2014, 39(5), pp. 4261-4267. (SCI, Q3)
N. Cai, J. Cao, M.J. Khan, “A controllability synthesis problem for dynamic multi-agent systems with linear high-order protocol”, Int. J. Control Automat. Syst., in press. (SCI, Q2)
N. Cai, J. Xi, Y. Zhong, “Asymptotic swarm stability of high order dynamical multi-agent systems: condition and application”, Control and Intelligent Systems, 2012, 40(1), pp. 33-39. (EI)
J. Xi, N. Cai, Y. Zhong, “Consensus problems for high-order linear time-invariant swarm systems”, Physica A, 2010, 389(24), pp. 5619-5627. (SCI, Q2)
J. Xi, H. Li, N. Cai, Y. Zhong, “Consensus of swarm systems with time delays and topology uncertainties”, IET Control Theory Appl., 2013, 7(8), pp. 1168-1178. (SCI, Q2)
M. Asif, M.J. Khan, N. Cai, “Adaptive sliding mode dynamic controller with integrator in the loop for nonholonomic wheeled mobile robot trajectory tracking”, Int. J. Control, in press. (SCI, Q2)
N. Cai, J. Xi, Y. Zhong, “Necessary and sufficient conditions for asymptotic swarm stability of high order swarm systems”, Proc. IEEE Conf. Control Autom., 2010, pp. 1870-1875. (EI)
N. Cai, J. Xi, Y. Zhong, “Controllability improvement of LTI systems”, Proc. Chinese Control Conf., 2010, pp. 127-132. (EI)
N. Cai, A. Wang, Y. Zhong, “Controllability improvement of high-order compartmental systems with single leader”, Proc. Chinese Control Conf., 2011, pp. 4895-4899. (EI)
N. Cai, H. Ma, M. Liu, C. Wang, “Swarm stability analysis of nonlinear time-varying heterogeneous dynamical multi-agent systems”, Proc. Chinese Control Conf., 2012, pp. 6292-6295. (EI)
N. Cai, H. Ma, C. Wang, M. Liu, “On swarm controllability of linear dynamical multi-agent systems”, Proc. Chinese Control Conf., 2012, pp. 6256-6260. (EI)
N. Cai, M. Liu, X. Wei, H. Ma, “On uniform consensus of linear multi-agent systems with time-varying graph topologies”, Proc. Chinese Control Conf., 2013. (EI)
N. Cai, W. Yang, X. Wang, C. Wang, “On controllabilization of dynamical networks via single leader”, Proc. Chinese Control Conf., 2013. (EI)
H. Ma, N. Cai, “Swarm stability of compartmental networks with LTI high-order dynamical protocol”, Proc. Int. Conf. Business Computing and Global Information, 2011. (EI)
H. Ma, N. Cai, “Consensus analysis of nonlinear dynamical multi-agent systems by relative Lyapunov function method”, Appl. Mech. Mater., 2012, 482-484. (EI)
C. Diao, A. Zhang, N. Cai, B. Wang, “Improved ensemble local means decomposition using cubic spline interpolation and application to ECG data”, Int. J. Soft Comput. Appl., 2013, 1(1), pp. 28-38.
C. Wang, M. Liu, N. Cai, “Drive Control of a Class of Scanning Systems”, Appl. Mech. Mater, 2013, 397-400, pp. 1184-118. (EI)
Y.Su, N. Cai, “Design of Temperature Acquisition System Based on STC89C52RCSingle-Chip Microcomputer”, Int. J. Sci.Defence Tech., 2013, in press.
H.Ma, Y. Cao, N. Cai, “Stability of Dynamical Multi-Agent Systems withApplications in Population Migration: A Literature Overview”, Int. J. Sci. Defence Tech., 2013, inpress.
X.Wei, N. Cai, “A Walking-assistant Robot Controlled by Tactile-Slip Sensation”, Int. J. Sci. Defence Tech., 2013, inpress.
C.Wang, M. Liu, N. Cai, “Driving Control Design for a Class of Scanning Systems”,Int. J. Sci. Defence Tech., 2013, inpress.
N.Cai, J. Cao, H. Ma, M. Liu, “Almost decouplizability of any directed weightednetwork topology”, under review.
College of Electrical Engineering, Northwest University for Nationalities, China
2002, M.E., Electrical Engineering, Xi'an JIAOTONG University, China.
1990, B.E., Electrical Engineering, Xi'an JIAOTONG University, China.
Bai Z.-M., Ma X.-K., Sun G. ALow-Dispersion Realization of Precise Integration Time-Domain Method Using aFourth-Order Accurate Finite Difference Scheme [J]. IEEE Transactions onAntenna and Propagations, 2011, 59(4):1311-1320 .
Bai Z.-M., Zhao Y.-Z, Ma X.-K. Analysis and Application of Sub-Domain Precise IntegrationMethod for Solving Maxwell’s Equations [J].Transactionsof China Electrotechnical Society, 2010,25(4):1-9.
Sun G., Ma X.-K., Bai Z.-M. Numerical Dispersion of Precise IntegrationTime Domain Method in Lossy Media.[J]. Chinese Journal of Radio and Science,2012, (02): 209-215.
Sun G., Ma X.-K., Bai Z.-M. A Low-Memory-Requirement Realization ofPrecise Integration Time Domain Method Using a Leapfrog Scheme[J]. IEEEMicrowave and Wireless Components Letters, 2012, 22 (6): 294-296.
Sun G., Ma X.-K., Bai Z.-M. Numerical Stability and Dispersion Analysis ofthe Precise-Integration Time-Domain Method in Lossy Media[J]. IEEE Transactionson Microwave Theory and Techniques, 2012, 60 (9): 2723-2729.
Sun G., Ma X.-K., Bai Z.-M. A Low Dispersion Precise Integration TimeDomain Method Based on Wavelet Galerkin Scheme[J]. Ieee Microwave and WirelessComponents Letters, 2010, 20 (12): 651-653.
Liu Q., Ma X.-K., Bai Z.-M.,Xu Z.-S. Asplit-step-scheme-based precise integration time domain method for solving waveequation[J]. COMPEL,2014,33(1/2): 85-94.
Bai Z.-M., Ma X.-K., Xu Z.-S., Liu Q. Anefficient application of PML in fourth-order precise integration time domainmethod for the numerical solution of Maxwell's equations[J]. COMPEL, 2014,33(1/2): 116-125.
Beijing University of Chemical Technology, China
2005, B.S. Mathematics, Shandong University, China,
Dong Shen, Youqing Wang. ILC for Networked Nonlinear Systems with Random Output Dropouts and Unknown Control Direction. System & Control Letters, vol. 77, pp. 30-39, 2015.
Dong Shen, YouqingWang. Survey on Stochastic Iterative Learning Control. Journal of Process Control, vol. 24, no. 12, pp. 64-77, 2014 (Survey Paper).
Dong Shen, Han-Fu Chen. A Kiefer-Wolfowitz Algorithm Based Iterative Learning Control for Hammerstein-Wiener Systems. Asian Journal of Control, vol. 14, no. 4, pp. 1070-1083, 2012 (Regu-lar Paper).
Xin Xu, Dong Shen, Yanqing Gao, Kai Wang. Learning Control of Dynamical Systems Based on Markov Decision Processes: Research Frontiers and Outlooks. Acta Automatica Sinica, vol. 38, no. 5, pp. 673-687, 2012 (Survey Paper, In Chinese).
Dong Shen, Han-Fu Chen. ILC for Large Scale Nonlinear Systems with Observation Noise. Automatica, vol. 48, no. 3, pp. 577-582, 2012 (Brief Paper).
Dong Shen, Zhongsheng Hou. Iterative Learning Control with Unknown Control Direction: A Novel Approach. IEEE Transactions on Neural Networks, Special Issue on Data-based Optimization, Control and Modeling, vol. 22, no. 12, pp. 2237-2249, 2011 (Regular Paper).
Dong Shen, Yutao Mu, Gang Xiong. Iterative Learning Control for Nonlinear Systems with Dead-zone Input and Time-delay in Presence of Measurement Noise. IET Control Theory and Applications, vol. 5, no. 12, pp. 1418-1425, 2011 (Regular Paper).
Dong Shen, Han-Fu Chen. Iterative Learning Control for a Class of Nonlinear Systems. Journal of System Science & Mathematics Sciences, vol. 28, no. 9, pp. 1053-1064, 2008 (In Chinese).
Gang Xiong, Zhong Liu, Xiwei Liu, Fenghua Zhu, Dong Shen (Eds). Service Science, Management and Engineering: Theory and Applications. Academic Press & Zhejiang University Press, 2012. (ISBN: 978-0123970374, 1st Edition, 400 pages, Hardcover)
Hany A. Hosham(email@example.com)
Faculty of Science, Assiut Al-Azhar University, Egypt
2004, M.Sc. Applied Mathematics, Assiut University, Egypt.
1988, B.Sc. Mathematics, AL-Azhar University, Egypt.
Hany A. Hosham, The Optimal Warranty and Preventive Maintenance Policy for the Four-State System,” ISRN Applied Mathematics, vol. 2011, Article ID 407457, 12 pages, 2011. doi:10.5402/2011/407457.
H. A. Hosham, The Optimal Preventive Maintenance Policy for the Multistate System Profit, Communications in Statistics - Theory and Methods,40 (23)(2011) 4189-4199, (with A. F. Attia, E. D. Abou Elela).
Hany A. Hosham, A Numerical Solution of Magento-Thermo elastic Problem in Non-Homogenous Isotropic Cylinder by the Finite Difference Method, Applied Mathematical Modelling, 31, 8 (2007) 1662-1670 .(with M.R. Abd-El-Salam, A.M. Abd-Alla).
o H. A. Hosham, An Implicit Finite-Difference Method for Solving the Transient Coupled Thermoelastic of an Annular Fin, Applied Mathematics− Information Sciences, 1 (2007), 79-93. (with A. M. Abd-Alla, A. A. Salama, M. R. Abd-El-Salam).
o H. A. Hosham, Fourth-Order Finite Difference Method for Solving Burgers’ Equation, Applied Mathematics and Computation, 170 (2005), 781-800 (with I. A. Hassanien, A. A. Salama). This article is one of the “ScienceDirect TOP 25 hottest Articles (Oct. 2005)”.
o H. A. Hosham, Analytical and numerical solutions of generalized Burgers' equation via Buckingham's Pi-theorem, Canadian Journal of Physics, 83,(10)(2005)1035–1049, (with I. A. Hassanien, A. A. Salama).
o H.A.Hosham, Group theoretic method analysis for unsteady boundary layer flow near a stagnation point, Taiwanese Journal of Mathematics, 9(4)(2005) 639–660, (with I. A. Hassanien, A. A. Salama)
H. A. Hosham, Bifurcation for Non-smooth Dynamical Systems via Reduction Methods, Proceedings of a Conference in Honor of Jürgen Scheurle, Series: Springer Proceedings in Mathematics & Statistics, Vol. 35 (2013), (with T. Küpper and D. Weiss).
o H. A. Hosham, Invariant manifolds for nonsmooth systems with sliding mode (2014), in Press , ( with T. Küpper and D. Weiss);
o H. A. Hosham, Invariant manifolds for nonsmooth systems, Physica D: Nonlinear Phenomena, V. 241, (22) (2012) 1895–1902
o H. A. Hosham, The dynamics of bells as impacting system, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 225 (10)(2011)2436–2443, with (T. Küpper and K. Dudtschenko).
o H. A. Hosham, Bifurcations in nonsmooth high-dimensional brake system, Proceeding of 2nd International Symposium Rare Attractors and Rare Phenomena in Nonlinear Dynamics RA’11 May (16)17 - 20, 2011, Riga - Jurmala, Latvia.
o H. A. Hosham, Reduction to Invariant Cones for Non-smooth Systems, Mathematics and Computers in Simulation, 81, (5)(2011) 980-995, (with T. Küpper).
M Junaid Khan(firstname.lastname@example.org)
National University of Sciences and Technology (NUST), Pakistan
2002, Master of Science, Electrical Engineering, Iowa State University, USA.
1994, Bachelor of Engg, Electrical Engg, PNEC, NED University, Pakistan.
Chengtao Wen, Shuning Wang, Khan M. Junaid “A novel compactpiecewise-linear representation”, International Journal of Circuit Theory andApplications, 33, pp 87-97. 2005.
ChengtaoWen; Shuning Wang; Feng Li; Khan, M. Junaid, “A compact f-f model ofhigh-dimensional piecewise-linear function over degenerate intersection”, IEEETransactions of Circuits andSystems I: Vol. 52, Issue 4, Page(s):815 – 821. 2005.
Khan M. Junaid. Yao Danya, JuanZhao, Shuning Wang, Yu Cai “Intelligent vehicle control by optimal selection ofimage data”, Springer LNCIS 344, pp.539-545.2006.
Hongying Yang, Hao Ye, Guizeng Wang, Junaid Khan “Fuzzy neuralvery-short-term load forecasting based on chaotic dynamics reconstruction”,Elsevier Journal of Chaos, Solitons and Fractals, Issue 29 Page(s) 462-469,2006.
Khan M. Junaid. Shuning Wang, NaveedRao “PWL Modeling and Control of Remotely Operated Submerged Vehicles”,Dynamics of Continuous, Discrete & Impulsive Systems, 2007, Vol.3 pp726-731.
Khan M. Junaid, Shuning Wang, “ApproximateDecoupled Modeling and Control of ROV”, IURS Journal of Unmanned RoboticVehicles & Intelligent Systems, 2007.
LiuJiong, Cao Zhigang, Khan, M. Junaid ,“TP-Satellite: A New TransportProtocol for Satellite IP Networks”, IEEE Transactions on Aerospace andElectronic Systems, Article in Press, 2007.
Keerio, M. U., Khawaja A., Rajpar A. H., Khan M.Junaid ,“Comparison of Control Approaches for Robot Manipulator”,Dynamics of Discrete, Continuous and Impulsive Systems, Vol.1 pp 513-517, 2007.
Khan M. Junaid, Shuning Wang, “Autonomous Vehicle Following-PerformanceComparison and Proposition of a Quasi-Linear Controller”, Journal of InformationTechnology and Control, Vol. 36, No.4, pp 393-401, 2007.
MYasin, Pervez Akhtar, M Junaid Khan, “Tracking Performance of RLS andKAPA Algorithms for a Smart Antenna System”, World Applied Sciences Journal,No10, pp 01-09, 2010.
M Yasin, Pervez Akhtar, M JunaidKhan, “MVDR an Optimum Beamformer for a Smart Antenna System in CDMAEnvironment”, International Journal of Computer Science and InformationSecurity, Vol. 8, No. 4, July 2010
KhanM. Junaid, Shuning Wang, “LatticePWL Modeling of Convex Separable Functions and its Application to the VehicleFollowing Problem”, Journal of Information Technology and Control, Vol.40, No.1,pp 56-70, 2011
Northwest University for Nationalities, China
2002, M.S., Economics, International Islamic University, Pakistan.
1996, Bachelor of Economics, Northwest University for Nationalities, China.
Ma Hai-Ying, “Consensus Analysis ofMulti-Agent-Based rural-urban migration by Relative Lyapunov Function Method”，Information Technology Journal，2013, 12(3), pp. 439-443.
Cai, Ning, Xi, Jian-Xiang,Zhong, Yi-Sheng, MaHai-Ying “Controllability Improvement forLinear Time-Invariant Dynamical Multi-Agent Systems”，International Journal of Innovative Computing and Control, 2012, 8(5A), pp.3315-3328.
N. Cai, J. Cao, MaHai-Ying, C. Wang, "Swarmstability analysis of nonlinear dynamical multi-agent systems via relativeLyapunov function", Arab. J. Sci.Eng., 2014, 39(3), pp. 2427-2434.
N. Cai, J. Cao, M. Liu, Ma Hai-Ying, “On controllability problemsof high-order dynamical multi-agent systems”, Arab. J. Sci. Eng., 2014, 39(5), pp. 4261-4267.
MaHai-Ying, Cai Ning，“Swarm Stability of CompartmentalNetworks with Linear Time-Invariant High-Order Dynamical Protocol”， International Conference on Business Computing and GlobalInformatization, 2011, pp. 524-527. IEEE CPS.
MaHai-Ying, Cai Ning, “Consensus Analysis of NonlinearDynamical Multi-Agent Systems by Relative Lyapunov Function Method”，Advanced Materials Research, 2011, 48(2), pp.1969-1972.
MaHai-Ying, Cai Ning, “Swarm Stability Analysis ofDynamical Multi-Agent Systems and Applications in Rural-Urban Migration:Literature Overview”， International Conference onComputer Science and Information Processing, 2012, pp. 719-722.
MaHai-Ying, Cai Ning, “Controllability Synthesis ofCompartmental Networks with Single Leader”, International Conference on Business Computing and GlobalInformatization,2012,pp.629-632. IEEE CPS.
MaHai-Ying, Yingyi Cao, “Compartmental Analysis ofAgent-based Population Migration for Regional Spatial Structure”, International Conference on Energy, Environment and SustainableDevelopment, 2013,pp.1112-1116.
MaHai-Ying, Yingyi Cao,“Meta-Consensus: Consensus as aFundamental Concept on Swarm System Dynamics and Formation Control”, International Conference on Energy, Environment and SustainableDevelopment, 2013,pp.2715-2718.
Yang Chaoji, MaHai-Ying, “An AHP-based Fuzzy Approach to Performance Evaluation of New socialistcountryside in Northwest Minority regions of China”, Applied Mechanics and Materials, 2013, pp.3306-3311.
ChaoJi Yang, MaHai-Ying, “Fuzzy AHP-based Algorithm for Performance Evaluation of New socialistcountryside in Northwest Minority regions ofChina”，Advanced Materials Research, 2013, pp.734-737.
CAI Ning, MA Hai-Ying, LIU Ming-Hua, WANG Cai, “Swarm stability analysisof nonlinear time-varying heterogeneous dynamical multi-agent systems”, Proc. Chinese Control Conf., 2012, pp.6292-6295.
CAI Ning, MA Hai-Ying, WANGCai-Xia, LIU Ming-Hua, “On swarmcontrollability of linear dynamical multi-agent systems”, Proc. Chinese Control Conf., 2012, pp. 6256-6260.
Yingyi Cao,MA Hai-Ying, “The evolutionand characteristics of economic spatial structure in Gansu province”, 3rd/2013 International Conference on Energy,Environment and Sustainable Development, 2013,pp.49-52.
Lian Lina, MAHai-Ying, “Research onthe measuringmethods of FDI absorptioncapacity in the western region: the empirical analysis of eleven target places china”, Information Technology Journal, 2014, pp. 1888-1892.
MA Hai-Ying, Cai Ning, “Rural–urban migration and Economicgrowth in Gansu province China-----An empirical analysis based on time-seriesdata from 1986 to 2008”, International Conference onNetwork Engineering and Computer Science, 2011，pp. 176-183.
MA Hai-Ying, Lian Lina, “How rurallabors in less developing areas of northwest china migrate? ----- Evidence fromPingliang,Gansu province”, International Journal of Business and Management，2011,pp. 65-71.
MA Hai-Ying, Lian Lina, “Rural-Urban Migration andUrbanization in Gansu Province,China: Evidencefrom Time-Sires Analysis”，Asian Social Science, 2011, 12(7) pp.71-79.
MA Hai-Ying, Yike Yao, “The Analysis on the Introductionof Islamic Financial Model in Ethnic Region in Gansu,China”, International Journal of FinancialResearch,2014, 5(1), pp.114-118.
MA Hai-Ying, “Literature survey of stability ofdynamical multi-agent system with application in the rural-urban migration”, American Journal of Engineering and Technology Research, 2013, 13(1), pp. 131-140.
MA Hai-Ying, Yingyi Cao, CaiNing, “An empirical analysis ofPopulation migration and Economic growth in Gansu province China”，International Journal of Soft Computing with Applications，2014, 2(1), pp. 15-22.
MA Hai-Ying, Yingyi Cao, CaiNing, “On Evaluation of index system ofNew socialist countryside in Ethnic regions ofChina: An AHP-based Fuzzy Approach”，International Journal of Soft Computing with Applications, 2014, 2(1), pp. 1-7.
Lian Lina, MAHai-Ying, “Overview ofOutward FDI Flows of China”，International Business Research,2011, 4(3), pp.103-107.
Lian lina, MA Hai-Ying, “FDI and Economic growth in westernregion ofChinaand dynamic mechanism: based on time-series data from 1986 to 2010”,International Business Research, 2013, 6(4), pp.180-186.
School of Automation Engineering, Tsingtao University, China
1998, M.Sc., Mathematics, Ocean University of China, China.
Yongqiang Guan, Zhijian Ji, Lin Zhang, and Long Wang. Quadratic stabilizability of multi-agent systems under switching topologies. International Journal of Control. to appear
Zhijian Ji, Hai Lin, and Haisheng Yu. Protocols design and uncontrollable topologies con-struction for multi-agent networks. IEEE Transactions on Automatic Control. accepted
Yongtian Lan, Zhijian Ji, Junwei Gao, Yaowei Wang. Robot sh detection based on a combination method of three-frame-dierence and background subtraction. Proceedings of the 26th Chinese Control and Decision Conference, May 30-Jun 01, 2014: 3905-3909, Changsha China
Zhijian Ji, Tongwen Chen, and Haisheng Yu. Controllability of sampled-data multi-agent systems. Proceedings of the 33th Chinese Control Conference, July 28-30, 2014: , Nanjing, China.
Zhijian Ji, Hai Lin, Haisheng Yu, and Liqun Xiong. Protocol design for network controlla-bility of multiple agents. Proceedings of the 32th Chinese Control Conference, July 26-28,2013: 6791-6796, Xi'an China
Zhijian Ji, Hai Lin, and Junwei Gao. Eigenvector based design of uncontrollable topologies for networks of multiple agents. Proceedings of the 32th Chinese Control Conference, July 26-28, 2013: 6797-6802, Xi'an China
Yongqiang Guan, Zhijian Ji, Lin Zhang, and Long Wang. Structural controllability of
higher-order multi-agent systems under absolute and relative protocols, Proceedings of the 32th Chinese Control Conference, July 26-28, 2013: 6832-6837, Xi'an China
Yongqiang Guan, Zhijian Ji, Lin Zhang, Long Wang, Decentralized stabilizability of multi-agent systems under xed and switching topologies, Systems & Control Letters, vol.62,no.5, 2013, pp.438-446
Haichuan Zhai, Zhijian Ji and Junwei Gao, Formation control of multiple robotic sh based on articial potential eld and leader-follower framework. Proceedings of the 25th ChineseControl and Decision Conference, 2013: 2616-2620
Zhijian Ji, Hai Lin, and Haisheng Yu, Leaders in multi-agent controllability under con-
sensus algorithm and tree topology, Systems & Control Letters, July 2012, vol.61, no.9,
Zhijian Ji and Hai Lin, Topologies construction and leaders location in multi-agent con-
trollability, Proceedings of the 31th Chinese Control Conference, July 25-27, 2012, Hefei,China, pp.6421-6426
Zhijian Ji, Hai Lin, and Tong Heng Lee, Nodes with the same number of neighbors and
multi-agent controllability, Proceedings of the 30th Chinese Control Conference, July 22-24, 2011, Yantai, China, pp.4792-4796
Hai Lin and Zhijian Ji, Transactions of the Institute of Measurement and Control, October2010; vol.32, no.5: pp. 443-444. (Zhijian Ji Guest Editor)
Zhijian Ji, Hai Lin, and Tong Heng Lee, Downer and Perron Branches in Interconnec-
tion Topologies for Coordination and Control of Multi-agent Networks, Proceedings of the 8th World Congress on Intelligent Control and Automation July 6-9 2010, Jinan, China,pp.1234-1239
Na Tan, Hai Lin, and Zhijian Ji, New results on controllability of multi-agent systems,
Proceedings of the 8th World Congress on Intelligent Control and Automation July 6-9
2010, Jinan, China, pp.574-579
Zhijian Ji, Hai Lin, Tong Heng Lee, and Qiang Ling, Multi-agent controllability with tree
topology, Proceedings of the 2010 American Control Conference, Marriott Waterfront,
Baltimore, MD, USA June 30-July 02, 2010, pp.850-855
Zhijian Ji, Hai Lin, Gang Feng and Xiaoxia Guo, Controllability structure decomposition
for switched linear systems, Transactions of the Institute of Measurement and Control,
December 2010; vol.32, no.6, pp. 736-755.
Zhijian Ji, Zidong Wang, Hai Lin, and Zhen Wang, Controllability of multi-agent systems with time-delay in state and switching topology, International Journal of Control, vol.83, no.2, February 2010, pp.371-386