Synchronization in complex networks and its application – A survey of recent advances and challenges

Arenas, 2008, Synchronization in complex networks, Physics Reports, 469, 93, 10.1016/j.physrep.2008.09.002 Bakule, 2014, Decentralized control: Status and outlook, Annual Reviews in Control, 38, 71, 10.1016/j.arcontrol.2014.03.007 Bolognani, 2013, A distributed control strategy for reactive power compensation in smart microgrids, IEEE Transactions on Automatic Control, 58, 2818, 10.1109/TAC.2013.2270317 Bullmore, 2009, Complex brain networks: Graph theoretical analysis of structural and functional systems, Nature Review Neuroscince, 10, 1 Bullmore, 2012, The economy of brain network organization, Nature Review Neuroscince, 13, 336, 10.1038/nrn3214 Cao, 2013, An overview of recent progress in the study of distributed multi-agent coordination, IEEE Transactions on Industrial Informatics, 9, 427, 10.1109/TII.2012.2219061 Chiang, 1995, Direct stability analysis of electric power systems using energy functions: Theory, applications, and perspective, Proceedings of the IEEE, 83, 1497, 10.1109/5.481632 Cornelius, 2013, Realistic control of network dynamics, Nature Communications, 4, 1942, 10.1038/ncomms2939 Csermely, 2013, Structure and dynamics of molecular networks: A novel paradigm of drug discovery: A comprehensive review, Pharmacology and Therapeutics, 38, 333, 10.1016/j.pharmthera.2013.01.016 Dahlem, 2013, Towards dynamical network biomarkers in neuromodulation of episodic migraine, Translational Neuroscience, 4, 282, 10.2478/s13380-013-0127-0 Döfler, 2013, Synchronization and transient stability in power networks and nonuniform Kuramoto oscillators, SIAM Journal on Control Optimization, 50, 1616, 10.1137/110851584 Döfler, 2014, Synchronization in complex networks of phase oscillators: A survey, Automatica, 50, 1539, 10.1016/j.automatica.2014.04.012 Döfler, 2013, Synchronization in complex oscillator networks and smart grids, Proceedings of the National Academy of Sciences, 110, 2005, 10.1073/pnas.1212134110 Engel, 2001, Rapid feature selective neuronal synchronization through correlated latency shifting, Nature Reviews Neuroscience, 2, 704, 10.1038/35094565 Fiedler, 2013, Dynamics and control at feedback vertex sets i. informative and determining nodes in regulatory networks, Journal of Dynamics and Differential Equations, 25, 563, 10.1007/s10884-013-9312-7 Frasca, 2012, Spatial pinning control, Physical Review Letters, 108, 204102, 10.1103/PhysRevLett.108.204102 Gao, 2012, Networks formed from interdependent networks, Nature Physics, 8, 40, 10.1038/nphys2180 Gao, 2008, A new delay system approach to network-based control, Automatica, 44, 39, 10.1016/j.automatica.2007.04.020 Giannakis, 2014, Monitoring and optimization for power grids, IEEE Transactions on Singal Processing Magzine, 108, 107 Gómez, 2013, Diffusion dynamics on multiplex networks, Physical Review Letters, 110, 028701, 10.1103/PhysRevLett.110.028701 Guerrero, 2011, Hierarchical control of droop-controlled ac and dc microgrids-a general approach toward standardization, IEEE Transactions on Industrial Electronics, 58, 158, 10.1109/TIE.2010.2066534 Gu, S., Pasqualetti, F., Cieslak, M., Grafton, S. T., & Bassett, D. S. (2014). Controllability of brain networks, arXiv (2014) 1406.5197v1. Hautus, 1969, Controllability and observability conditions of linear autonomous systems, Nederl Akad. Wetenschappen, Proc. Ser. A, 72, 443 Hespanha, 2007, A survey of recent results in networked control systems, Proceedings of the IEEE, 95, 138, 10.1109/JPROC.2006.887288 Hong, 2006, Tracking control for multi-agent consensus with an active leader and variable topology, Automatica, 42, 1177, 10.1016/j.automatica.2006.02.013 Huang, 2012, Partial-information-based distributed filtering in two-targets tracking sensor network, IEEE Transactions on Circuits and Systems–I: Regular Papers, 59, 820, 10.1109/TCSI.2011.2169912 Jadbabaie, 2003, Coordination of groups of mobile autonomous agents using nearest neighbour rules, IEEE Transactions on Automatic Control, 48, 988, 10.1109/TAC.2003.812781 Jia, 2013, Control capacity and a random sampling method in exploring controllability of complex networks, Scientific Reports, 3, 2354, 10.1038/srep02354 Jia, 2013, Emergence of bimodality in controlling complex networks, Nature Communications, 4, 2002, 10.1038/ncomms3002 Ji, 2008, Containment control in mobile networks, IEEE Transactions on Automatic Control, 53, 1972, 10.1109/TAC.2008.930098 Kalman, 1963, Mathematical description of linear dynamical systems, Journal of the Society for Industrial & Applied Mathematics, Series A: Control, 1, 152, 10.1137/0301010 Khalil, 2002 Koseska, 2013, Oscillation quenching mechanisms: Amplitude vs. oscillation death, Physics Reports, 531, 173, 10.1016/j.physrep.2013.06.001 Li, 2013, A unified approach to practical consensus with quantized data and time delay, IEEE Transactions on Circuits and Systems–I: Regular Papers, 60, 2668, 10.1109/TCSI.2013.2244322 Lin, 1974, Structural controllability, IEEE Transactions on Automatic Control, 19, 201, 10.1109/TAC.1974.1100557 Liu, 2011, Controllability of complex networks, Nature, 473, 167, 10.1038/nature10011 Liu, 2013, Observability of complex systems, Proceedings of the National Academy of Sciences, 110, 2460, 10.1073/pnas.1215508110 Lovisari, 2012, Performance metrics in the average consensus problem: A tutorial, Annual Reviews in Control, 36, 26, 10.1016/j.arcontrol.2012.03.003 Lu, 2010, A unified synchronization criterion for impulsive dynamical networks, Automatica, 46, 1215, 10.1016/j.automatica.2010.04.005 Lu, 2012, Synchronization control for nonlinear stochastic dynamical networks: Pinning impulsive strategy, IEEE Transactions on Neural Networks and Learning Systems, 23, 285, 10.1109/TNNLS.2011.2179312 Machowski, 2008 Mao, 2007 Maraun, 2005, Epochs of phase coherence between El Niño/southern oscillation and Indian monsoon, Geophysical Research Letters, 32, L15709, 10.1029/2005GL023225 Menck, 2014, How dead ends undermine power grid stability, Nature Communiations, 5, 3969, 10.1038/ncomms4969 Menck, 2013, How basin stability complements the linear-stability paradigm, Nature Physics, 9, 89, 10.1038/nphys2516 Menichetti, 2014, Network controllability is determined by the density of low in-degree and out-degree nodes, Physical Review Letters, 113, 078701, 10.1103/PhysRevLett.113.078701 Mochizuki, 2013, Dynamics and control at feedback vertex sets. ii: A faithful monitor to determine the diversity of molecular activities in regulatory networks, Journal of Theoretical Biology, 335, 130, 10.1016/j.jtbi.2013.06.009 Motter, 2013, Spontaneous synchrony in power-grid networks, Nature Physics, 9, 191, 10.1038/nphys2535 Nepusz, 2012, Controlling edge dynamics in complex networks, Nature Physics, 8, 568, 10.1038/nphys2327 Notarstefano, 2013, Controllability and observability of grid graphs via reduction and symmetries, IEEE Transactions on Automatic Control, 58, 1719, 10.1109/TAC.2013.2241493 Palva, 2010, Neuronal synchrony reveals working memory networks and predicts individual memory capacity, Proceedings of the National Academy of Sciences of the USA, 107, 7580, 10.1073/pnas.0913113107 Pasqualetti, 2013, Attack detection and identification in cyber-physical systems, IEEE Transactions on Automatic Control, 58, 2715, 10.1109/TAC.2013.2266831 Pasqualetti, 2014, Controllability metrics and algorithms for complex networks, IEEE Transactions on Control of Network Systems, 1, 40, 10.1109/TCNS.2014.2310254 Pecora, 1998, Master stability functions for synchronized coupled systems, Physical Review Letters, 80, 2109, 10.1103/PhysRevLett.80.2109 Pikovsky, 2001 Porfiri, 2008, Criteria for global pinning-controllability of complex networks, Automatica, 44, 3100, 10.1016/j.automatica.2008.05.006 Pósfai, 2013, Effect of correlations on network controllability, Scientific Reports, 3, 1067, 10.1038/srep01067 Radicchi, 2013, Abrupt transition in the structural formation of interconnected networks, Nature Physics, 9, 717, 10.1038/nphys2761 Ren, 2008 Ribbens-Pavella, 1985, Direct methods for studying dynamics of large-scale electric power systems-a survey, Automatica, 21, 1, 10.1016/0005-1098(85)90095-0 Rohden, 2012, Self-organized synchronization in decentralized power grids, Physical Review Letters, 109, 064101, 10.1103/PhysRevLett.109.064101 Rugh, 1996 Ruths, 2014, Control profiles of complex networks, Science, 343, 1373, 10.1126/science.1242063 Saber, 2007, Consensus and cooperation in networked multi-agent systems, Proceedings of the IEEE, 95, 215, 10.1109/JPROC.2006.887293 Saber, 2004, Consensus problems in networks of agents with switching topology and time-delays, IEEE Transactions on Automatic Control, 49, 1520, 10.1109/TAC.2004.834113 Saxena, 2012, Amplitude death: The emergence of stationarity in coupled nonlinear systems, Physics Reports, 521, 205, 10.1016/j.physrep.2012.09.003 Schiffer, 2014, Conditions for stability of droop-controlled inverter-based microgrids, Automatica, 10.1016/j.automatica.2014.08.009 Sepulchre, 2012, Consensus on nonlinear spaces, Annual Reviews in Control, 35, 56, 10.1016/j.arcontrol.2011.03.003 Simpson-Porco, 2013, Conditions for stability of droop-controlled inverter-based microgrids, Automatica, 49, 2603, 10.1016/j.automatica.2013.05.018 Sorrentino, 2007, Controllability of complex networks via pinning, Physical Review E, 75, 046103, 10.1103/PhysRevE.75.046103 Sun, 2013, Controllability transition and nonlocality in network control, Physical Review Letters, 110, 208701, 10.1103/PhysRevLett.110.208701 Suweis, 2013, Emergence of structural and dynamical properties of ecological mutualistic networks, Nature, 500, 449, 10.1038/nature12438 Tang, 2013, Multiobjective identification of controlling areas in neuronal networks, IEEE/ACM Transactions On Computational Biology and Bioinformatics, 10, 708, 10.1109/TCBB.2013.72 Tang, 2014, Distributed robust synchronization of dynamical networks with stochastic coupling, IEEE Transactions on Circuits and Systems-I: Regular Papers, 61, 1508, 10.1109/TCSI.2013.2285699 Tang, 2012, Evolutionary pinning control and its application in UAV coordination, IEEE Transactions on On Industrial Informatics, 8, 828, 10.1109/TII.2012.2187911 Tang, 2014, Pinning distributed synchronization of stochastic dynamical networks: a mixed optimization method, IEEE Transactions on Neural Networks and Learning Systems, 25, 1804, 10.1109/TNNLS.2013.2295966 Tang, 2012, Identifying controlling nodes in neuronal networks in different scales, PLoS ONE, 7, e41375, 10.1371/journal.pone.0041375 Tang, 2013, Distributed synchronization in networks of agent systems with nonlinearities and random switchings, IEEE Transactions on Cybernetics, 43, 358, 10.1109/TSMCB.2012.2207718 Tang, 2013, Pinning noise-induced stochastic resonance, Physical Review E, 87, 062920, 10.1103/PhysRevE.87.062920 Tang, 2014, On controllability of neuronal networks with constraints on the average of control gains, IEEE Transactions on Cybernetics, 10.1109/TCYB.2014.2313154 Tang, 2012, A constrained evolutionary computation method for detecting controlling regions of cortical networks, IEEE/ACM Transactions on On Computational Biology and Bioinformatics, 9, 1569, 10.1109/TCBB.2012.124 Uhlhaas, 2006, Neural synchrony in brain disorders: Relevance for cognitive dysfunctions and pathophysiology, Neuron, 52, 155, 10.1016/j.neuron.2006.09.020 Vicsek, 2012, Collective motion, Physics Reports, 517, 71, 10.1016/j.physrep.2012.03.004 Wang, 2014, Pinning control of complex networked systems: A decade after and beyond, Annual Reviews in Control, 38, 103, 10.1016/j.arcontrol.2014.03.008 Wielanda, 2011, An internal model principle is necessary and sufficient for linear output synchronization, Automatica, 47, 1068, 10.1016/j.automatica.2011.01.081 Witthaut, 2012, Braess’s paradox in oscillator networks, desynchronization and power outage, New Journal of Physics, 14, 083036, 10.1088/1367-2630/14/8/083036 Wu, 2013, Stability and synchronization of discrete-time neural networks with switching parameters and time-varying delays, IEEE Transactions on Neural Networks and Learning Systems, 24, 1957, 10.1109/TNNLS.2013.2271046 Wu, 2010, Exponential stability analysis for delayed neural networks with switching parameters: Average dwell time approach, IEEE Transactions on Neural Networks, 21, 1396, 10.1109/TNN.2010.2056383 Yang, 2012, Network observability transitions, Physical Review Letters, 109, 258701, 10.1103/PhysRevLett.109.258701 Yan, 2012, Controlling complex networks: How much energy is needed?, Physical Review Letters, 108, 218703, 10.1103/PhysRevLett.108.218703 Yin, 2014, A review on basic data-driven approaches for industrial process monitoring, IEEE Transactions on Industrial Electronics, 61, 6418, 10.1109/TIE.2014.2301773 Yuan, 2013, Exact controllability of complex networks, Nature Communications, 4, 2447, 10.1038/ncomms3447 Yu, 2009, On pinning synchronization of complex dynamical networks, Automatica, 45, 429, 10.1016/j.automatica.2008.07.016 Zamora-López, 2010, Cortical hubs form a module for multisensory integration on top of the hierarchy of cortical networks, Frontiers in Neuroinformatics, 4, 1 Zhang, 2009, Stability and stabilization of markovian jump linear systems with partly unknown transition probability, Automatica, 45, 463, 10.1016/j.automatica.2008.08.010 Zhang, 2013, Network-induced constraints in networked control systems-a survey, IEEE Transactions on Industrial Informatics, 9, 403, 10.1109/TII.2012.2219540 Zhang, 2014, Synchronization of nonlinear dynamical networks with heterogeneous impulses, IEEE Transactions on Circuits and Systems-I: Regular Papers, 61, 1220, 10.1109/TCSI.2013.2286027 Zou, 2013, Reviving oscillations in coupled nonlinear oscillators, Physical Review Letters, 111, 014101, 10.1103/PhysRevLett.111.014101