The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Coordination of groups of mobile autonomous agents using nearest neighbor rules
Open accessAbstract
In a recent Physical Review Letters article, Vicsek et al. propose a simple but compelling discrete-time model of n autonomous agents (i.e., points or particles) all moving in the plane with the same speed but with different headings. Each agent's heading is updated using a local rule based on the average of its own heading plus the headings of its "neighbors." In their paper, Vicsek et al. provide simulation results which demonstrate that the nearest neighbor rule they are studying can cause all agents to eventually move in the same direction despite the absence of centralized coordination and despite the fact that each agent's set of nearest neighbors change with time as the system evolves. This paper provides a theoretical explanation for this observed behavior. In addition, convergence results are derived for several other similarly inspired models. The Vicsek model proves to be a graphic example of a switched linear system which is stable, but for which there does not exist a common quadratic Lyapunov function.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Horn, R. A., & Johnson, C. R. (1985) · Cambridge University Press eBooks · doi:10.1017/cbo9780511810817 · Cited by 25,904
Horn, R. A., & Johnson, C. R. (1985) · Cited by 22,203
Godsil, C., & Royle, G. (2001) · Graduate Texts in Mathematics · doi:10.1007/978-1-4613-0163-9 · Cited by 8,154
Flocks, herds and schools: A distributed behavioral model
Reynolds, C. W. (1987) · ACM SIGGRAPH Conference (SIGGRAPH) · doi:10.1145/37401.37406 · Cited by 7,954
Novel Type of Phase Transition in a System of Self-Driven Particles
Vicsek, T., Czirók, A., Ben‐Jacob, E., Cohen, I., & Shochet, O. (1995) · Physical Review Letters · doi:10.1103/physrevlett.75.1226 · Cited by 7,395
Flocks, herds and schools: A distributed behavioral model
Reynolds, C. W. (1987) · ACM SIGGRAPH Computer Graphics · doi:10.1145/37402.37406 · Cited by 5,148
Non-negative Matrices and Markov Chains
Seneta, E. B. (1981) · Springer series in statistics · doi:10.1007/0-387-32792-4 · Cited by 2,858
Bollobás, B. (2001) · doi:10.1017/cbo9780511814068 · Cited by 2,639
Flocks, herds, and schools: A quantitative theory of flocking
Toner, J., & Tu, Y. (1998) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.58.4828 · Cited by 1,654
Long-Range Order in a Two-Dimensional Dynamical XY Model: How Birds Fly Together
Toner, J., & Tu, Y. (1995) · Physical Review Letters · doi:10.1103/physrevlett.75.4326 · Cited by 1,277
Flagged first, then by citations
Research works printed but not linked: 4
- Grunbaum, 1994, Modeling social animal aggregations, 296
- Morse, Dwell-time switching, 176
- Morse, 2001, Virtual shells for avoiding collisions
- Tanner, 2002, Distributed coordination strategies for groups of mobile autonomous agents
Cited by
Sorted by citations
Items 301–400 of 1,006
Application of Synchronization to Formation Flying Spacecraft: Lagrangian Approach
Chung, S., Ahsun, U., & Slotine, J.-J. E. (2009) · Journal of Guidance Control and Dynamics · doi:10.2514/1.37261 · Cited by 263
Necessary and Sufficient Graphical Conditions for Affine Formation Control
Lin, Z., Wang, L., Chen, Z., Fu, M., & Han, Z. (2015) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2015.2504265 · Cited by 263
Consensus Optimization on Manifolds
Sarlette, A., & Sepulchre, R. J. (2009) · SIAM Journal on Control and Optimization · doi:10.1137/060673400 · Cited by 268
Cooperative Filters and Control for Cooperative Exploration
Zhang, F., & Leonard, N. E. (2010) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2009.2039240 · Cited by 262
State transitions and the continuum limit for a 2D interacting, self-propelled particle system
Chuang, Y.-L., D'Orsogna, M. R., Marthaler, D. E., Bertozzi, A. L., & Chayes, L. S. (2007) · Physica D Nonlinear Phenomena · doi:10.1016/j.physd.2007.05.007 · Cited by 261
Wen, G., Duan, Z., Ren, W., & Chen, G. (2013) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.3001 · Cited by 259
Consensus of multi‐agent linear dynamic systems
Wang, J., Cheng, D., & Xiaoming Hu, A. (2008) · Asian Journal of Control · doi:10.1002/asjc.15 · Cited by 259
Tian, Y., & Liu, C. (2009) · Automatica · doi:10.1016/j.automatica.2009.01.009 · Cited by 259
Chen, J., Sun, D. B., Yang, J., & Chen, H. (2009) · The International Journal of Robotics Research · doi:10.1177/0278364909104290 · Cited by 258
Average consensus on general strongly connected digraphs
Cai, K., & Ishii, H. (2012) · Automatica · doi:10.1016/j.automatica.2012.08.003 · Cited by 258
Giancarlo Ferrari-trecate, A., Galbusera, L., Marciandi, M. P. E., & Scattolini, R. (2009) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2009.2031208 · Cited by 258
Distributed consensus tracking for multi‐agent systems under two types of attacks
Feng, Z. G., Hu, G., & Wen, G. (2015) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.3342 · Cited by 257
Distributed constrained optimal consensus of multi-agent systems
Qiu, Z., Liu, S., & Xie, L. (2016) · Automatica · doi:10.1016/j.automatica.2016.01.055 · Cited by 257
Li, C., Yu, X., Huang, T., & He, X. (2017) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2017.2691760 · Cited by 257
Distributed attitude alignment in spacecraft formation flying
Ren, W. (2006) · International Journal of Adaptive Control and Signal Processing · doi:10.1002/acs.916 · Cited by 256
Distributed intelligence: overview of the field and its application in multi-robot systems
Parker, L. E. (2008) · Journal of Physical Agents (JoPha) · doi:10.14198/jopha.2008.2.1.02 · Cited by 261
Sensor Networks With Random Links: Topology Design for Distributed Consensus
Kar, S., & Moura, J. M. F. (2008) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2008.920143 · Cited by 256
Multi-agent kalman consensus with relative uncertainty
Ren, W., Beard, R. W., & Kingston, D. B. (2005) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2005.1470240 · Cited by 256
Defoort, M., Polyakov, A., Demesure, G., Djemaï, M., & Veluvolu, K. C. (2015) · IET Control Theory and Applications · doi:10.1049/iet-cta.2014.1301 · Cited by 255
Consensus of Data-Sampled Multi-Agent Systems With Random Communication Delay and Packet Loss
Zhang, Y., & Tian, Y. (2010) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2010.2041612 · Cited by 254
Clustering in diffusively coupled networks
Xia, W., & Cao, M. (2011) · Automatica · doi:10.1016/j.automatica.2011.08.043 · Cited by 252
Wen, G., Chen, C. L. P., Liu, Y., & Liu, Z. (2015) · IET Control Theory and Applications · doi:10.1049/iet-cta.2014.1319 · Cited by 252
Average consensus on networks with quantized communication
Frasca, P., Ruggero Carli, A., Fagnani, F., & Zampieri, S. (2008) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.1396 · Cited by 251
Cao, Y., & Ren, W. (2009) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.1495 · Cited by 251
Criteria for global pinning-controllability of complex networks
Porfiri, M., & di Bernardo, M. (2008) · Automatica · doi:10.1016/j.automatica.2008.05.006 · Cited by 251
Distributed optimization for cooperative agents: application to formation flight
Raffard, R. L., Tomlin, C. J., & Boyd, S. (2004) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2004.1428778 · Cited by 250
Distributed Primal–Dual Subgradient Method for Multiagent Optimization via Consensus Algorithms
Yuan, D., Xu, S., & Zhao, H. (2011) · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · doi:10.1109/tsmcb.2011.2160394 · Cited by 250
Devavrat Shah, B. (2009) · Cited by 248
Conditions for Synchronizability in Arrays of Coupled Linear Systems
Tuna, S. E. (2009) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2009.2029296 · Cited by 247
Distributed Coordination Control for Multi-Robot Networks Using Lyapunov-Like Barrier Functions
Panagou, D., Stipanović, D. M., & Voulgaris, P. G. (2015) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2015.2444131 · Cited by 247
Non-linear protocols for optimal distributed consensus in networks of dynamic agents
Bauso, D., Giarré, L., & Pesenti, R. (2006) · Systems & Control Letters · doi:10.1016/j.sysconle.2006.06.005 · Cited by 246
Consensus of linear multi-agent systems with reduced-order observer-based protocols
Li, Z., Liu, X., Lin, P., & Ren, W. (2011) · Systems & Control Letters · doi:10.1016/j.sysconle.2011.04.008 · Cited by 245
Impulsive consensus algorithms for second-order multi-agent networks with sampled information
Guan, Z., Liu, Z., Feng, G., & Jian, M. (2012) · Automatica · doi:10.1016/j.automatica.2012.05.005 · Cited by 245
Synchronization and Convergence of Linear Dynamics in Random Directed Networks
Wu, C. W. (2006) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2006.878783 · Cited by 245
Oscillator Models and Collective Motion
Paley, D. A., Leonard, N. E., Sepulchre, R. J., Grünbaum, D., & Parrish, J. K. (2007) · IEEE Control Systems · doi:10.1109/mcs.2007.384123 · Cited by 244
Synchronizing linear systems via partial-state coupling
Tuna, S. E. (2008) · Automatica · doi:10.1016/j.automatica.2008.01.004 · Cited by 243
Distributed consensus for multi-agent systems with delays and noises in transmission channels
Liu, S., Xie, L., & Zhang, H. (2011) · Automatica · doi:10.1016/j.automatica.2011.02.003 · Cited by 241
Ma, H., & Yang, G. (2015) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2015.2507864 · Cited by 241
Kar, S., Hug, G., Mohammadi, J., & Moura, J. M. F. (2014) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2014.2364545 · Cited by 238
Multi-agent team cooperation: A game theory approach
Semsar-Kazerooni, E., & Khorasani, K. (2009) · Automatica · doi:10.1016/j.automatica.2009.06.006 · Cited by 237
Consensus Tracking Under Directed Interaction Topologies: Algorithms and Experiments
Ren, W. (2009) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2009.2015285 · Cited by 237
Xiang, W., Lam, J., & Shen, J. (2017) · Automatica · doi:10.1016/j.automatica.2017.07.016 · Cited by 237
Liu, Z., Guan, Z., Shen, X., & Feng, G. (2012) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2012.2214451 · Cited by 235
Connectedness Preserving Distributed Swarm Aggregation for Multiple Kinematic Robots
Dimarogonas, D. V., & Kyriakopoulos, K. J. (2008) · IEEE Transactions on Robotics · doi:10.1109/tro.2008.2002313 · Cited by 235
Decentralized Cooperative Policy for Conflict Resolution in Multivehicle Systems
Pallottino, L., Scordio, V., Bicchi, A., & Frazzoli, E. (2007) · IEEE Transactions on Robotics · doi:10.1109/tro.2007.909810 · Cited by 234
Incremental Stochastic Subgradient Algorithms for Convex Optimization
Ram, S. S., Nedić, A., & Veeravalli, V. V. (2009) · SIAM Journal on Optimization · doi:10.1137/080726380 · Cited by 231
Target containment control of multi-agent systems with random switching interconnection topologies
Lou, Y., & Hong, Y. (2012) · Automatica · doi:10.1016/j.automatica.2012.02.032 · Cited by 230
Distributed multi-robot task assignment and formation control
Michael, N., Zavlanos, M. M., Kumar, V., & Pappas, G. J. (2008) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2008.4543197 · Cited by 230
Distributed output regulation of leader–follower multi‐agent systems
Hong, Y., Wang, X., & Jiang, Z. (2011) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.1814 · Cited by 228
Consensus in Multi-Agent Systems With Second-Order Dynamics and Sampled Data
Yu, W., Zhou, L., Yu, X., Lü, J., & Lu, R. (2013) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2012.2235074 · Cited by 228
Sun, D. B., Wang, C., Shang, W., & Feng, G. (2009) · IEEE Transactions on Robotics · doi:10.1109/tro.2009.2027384 · Cited by 228
Wen, G., Yu, W., Xia, Y., Yu, X., & Hu, J. (2016) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2016.2564929 · Cited by 228
Cooperative Guidance for Multimissile Salvo Attack
Shiyu, Z., & Zhou, R. (2008) · Chinese Journal of Aeronautics · doi:10.1016/s1000-9361(08)60171-5 · Cited by 227
Distributed learning and cooperative control for multi-agent systems
Choi, J., Oh, S., & Horowitz, R. (2009) · Automatica · doi:10.1016/j.automatica.2009.09.025 · Cited by 227
Kar, S., & Moura, J. M. F. (2011) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2011.2127446 · Cited by 227
Finite-Time Distributed Consensus in Graphs with Time-Invariant Topologies
Sundaram, S., & Hadjicostis, C. N. (2007) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2007.4282726 · Cited by 227
Felipe Cucker, B., & Dong, J. (2010) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2010.2042355 · Cited by 226
Liu, X. (2009) · IEEE Transactions on Circuits & Systems II Express Briefs · doi:10.1109/tcsii.2009.2019326 · Cited by 226
Consensus Over Ergodic Stationary Graph Processes
Tahbaz-Salehi, A., & Jadbabaie, A. (2009) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2009.2034054 · Cited by 226
Self-citationReaching a consensus via pinning control
Chen, F., Chen, Z., Xiang, L., Liu, Z., & Yuan, Z. (2009) · Automatica · doi:10.1016/j.automatica.2008.12.027 · Cited by 224
Hybrid Control for Connectivity Preserving Flocking
Zavlanos, M. M., Tanner, H. G., Jadbabaie, A., & Pappas, G. J. (2009) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2009.2033750 · Cited by 224
Self-citationSynchronization of discrete-time multi-agent systems on graphs using Riccati design
Hengster‐Movric, K., You, K., Lewis, F. L., & Xie, L. (2012) · Automatica · doi:10.1016/j.automatica.2012.11.038 · Cited by 224
Cao, M., Morse, A. S., & Anderson, B. D. O. (2008) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2008.929387 · Cited by 224
Self-citationEvent-triggered leader-following tracking control for multivariable multi-agent systems
Cheng, Y., & Ugrinovskii, V. (2016) · Automatica · doi:10.1016/j.automatica.2016.04.003 · Cited by 225
Qian, T., Liu, Y., Zhang, W., Tang, W., & Shahidehpour, M. (2019) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2019.2937366 · Cited by 224
On linear co-positive Lyapunov functions for sets of linear positive systems
Knorn, F., Mason, O., & Shorten, R. N. (2009) · Automatica · doi:10.1016/j.automatica.2009.04.013 · Cited by 223
A Distributed Newton Method for Network Utility Maximization–I: Algorithm
Wei, E., Ozdaglar, A., & Jadbabaie, A. (2013) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2013.2253218 · Cited by 221
Self-citationIterative approximate byzantine consensus in arbitrary directed graphs
Vaidya, N. H., Tseng, L., & Liang, G. (2012) · ACM Symposium on Principles of Distributed Computing (PODC) · doi:10.1145/2332432.2332505 · Cited by 221
Fast linear iterations for distributed averaging
Xiao, L., & Boyd, S. (2004) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2003.1272421 · Cited by 221
Shi, G., & Hong, Y. (2009) · Automatica · doi:10.1016/j.automatica.2008.12.015 · Cited by 220
Parker, L. E. (2008) · Springer eBooks · doi:10.1007/978-3-540-30301-5_41 · Cited by 223
Arbitrary pattern formation by asynchronous, anonymous, oblivious robots
Flocchini, P., Prencipe, G., Santoro, N., & Widmayer, P. (2008) · Theoretical Computer Science · doi:10.1016/j.tcs.2008.07.026 · Cited by 218
Chen, C., Wen, C., Liu, Z., Xie, K., Zhang, Y., & Chen, C. L. P. (2016) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2016.2628204 · Cited by 218
Mu, B., Zhang, K., & Shi, Y. (2017) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2017.2711575 · Cited by 218
ADD-OPT: Accelerated Distributed Directed Optimization
Xi, C., Xin, R., & Khan, U. A. (2017) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2017.2737582 · Cited by 217
Leader–follower consensus of linear multi-agent systems with unknown external disturbances
Cao, W., Zhang, J., & Ren, W. (2015) · Systems & Control Letters · doi:10.1016/j.sysconle.2015.05.007 · Cited by 218
Interconnected dynamic systems: An overview on distributed control
Antonelli, G. (2013) · IEEE Control Systems · doi:10.1109/mcs.2012.2225929 · Cited by 219
Qin, J., Gao, H., & Zheng, W. X. (2014) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2014.2316245 · Cited by 216
The Multi-Agent Rendezvous Problem. Part 2: The Asynchronous Case
Lin, J., Morse, A. S., & Anderson, B. D. O. (2007) · SIAM Journal on Control and Optimization · doi:10.1137/040620564 · Cited by 215
Self-citationTrajectory design and control for aggressive formation flight with quadrotors
Turpin, M., Michael, N., & Kumar, V. (2012) · Autonomous Robots · doi:10.1007/s10514-012-9279-y · Cited by 215
Consensus problems for high-dimensional multi-agent systems
Xiao, F., & Wang, L. (2007) · IET Control Theory and Applications · doi:10.1049/iet-cta:20060014 · Cited by 213
Vision-Based, Distributed Control Laws for Motion Coordination of Nonholonomic Robots
Moshtagh, N., Michael, N.-M., Jadbabaie, A., & Daniilidis, K. (2009) · IEEE Transactions on Robotics · doi:10.1109/tro.2009.2022439 · Cited by 213
Self-citationMulti-agent zero-sum differential graphical games for disturbance rejection in distributed control
Jiao, Q., Modares, H., Xu, S., Lewis, F. L., & Vamvoudakis, K. G. (2016) · Automatica · doi:10.1016/j.automatica.2016.02.002 · Cited by 215
Fast Convergence Rates for Distributed Non-Bayesian Learning
Nedić, A., Olshevsky, A., & Uribe, C. A. (2017) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2017.2690401 · Cited by 212
On H ∞ and H 2 performance regions of multi-agent systems
Li, Z., Duan, Z., & Chen, G. (2011) · Automatica · doi:10.1016/j.automatica.2011.01.054 · Cited by 212
Containment control for second-order multi-agent systems with time-varying delays
Liu, K., Xie, G., & Wang, L. (2014) · Systems & Control Letters · doi:10.1016/j.sysconle.2013.12.013 · Cited by 212
Flocking while preserving network connectivity
Zavlanos, M. M., Jadbabaie, A., & Pappas, G. J. (2007) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2007.4434530 · Cited by 212
Self-citationAgreement problems in networks with directed graphs and switching topology
Saber, R. O., & Murray, R. M. (2004) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2003.1271796 · Cited by 211
Stability of a class of switched positive linear time‐delay systems
Zhao, X., Zhang, L., & Shi, P. J. (2012) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.2777 · Cited by 211
Flocking in noisy environments
Felipe Cucker, B., & Mordecki, E. (2007) · Journal de Mathématiques Pures et Appliquées · doi:10.1016/j.matpur.2007.12.002 · Cited by 211
Coordinated Control of Multi-Robot Systems: A Survey
́s, J. C., & Egerstedt, M. (2017) · SICE Journal of Control Measurement and System Integration · doi:10.9746/jcmsi.10.495 · Cited by 221
Dynamic consensus of linear multi-agent systems
Li, Z., Duan, Z., & Chen, G. (2011) · IET Control Theory and Applications · doi:10.1049/iet-cta.2009.0466 · Cited by 210
Finite-Time Consensus for Multiagent Systems With Cooperative and Antagonistic Interactions
Meng, D., Jia, Y., & Du, J. (2015) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2015.2424225 · Cited by 209
Fully Distributed Formation-Containment Control of Heterogeneous Linear Multiagent Systems
Jiang, W., Wen, G., Peng, Z., Huang, T., & Rahmani, A. (2018) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2018.2887409 · Cited by 209
Stability and Stabilizability Criteria for Discrete-Time Positive Switched Systems
Fornasini, E., & Valcher, M. E. (2011) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2011.2173416 · Cited by 208
High-order consensus of heterogeneous multi-agent systems with unknown communication delays
Tian, Y., & Zhang, Y. (2012) · Automatica · doi:10.1016/j.automatica.2012.03.017 · Cited by 208
Formation Control for High-Order Linear Time-Invariant Multiagent Systems With Time Delays
Dong, X., Xi, J., Lu, G., & Zhong, Y. (2014) · IEEE Transactions on Control of Network Systems · doi:10.1109/tcns.2014.2337972 · Cited by 207
Stable concurrent synchronization in dynamic system networks
Pham, Q., & Slotine, J.-J. E. (2006) · Neural Networks · doi:10.1016/j.neunet.2006.07.008 · Cited by 206
Distributed Formation and Reconfiguration Control of VTOL UAVs
Liao, F., Teo, R., Wang, J., Dong, X., Lin, F., & Peng, K. (2016) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2016.2547952 · Cited by 205
Dynamic Event-Triggered Control for Leader-Following Consensus of Multiagent Systems
Du, S., Liu, T., & Ho, D. W. C. (2018) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2018.2866853 · Cited by 208
Metadata
- Authors
- Jadbabaie, A., Lin, J., & Morse, A. S.
- Affiliations
- Yale University (US)
- Venue
- IEEE Transactions on Automatic Control
- Published
- 2003-06
- Volume
- 48
- Issue
- 6
- Pages
- 988-1001
- ISSN
- 0018-9286 (ISSN-L)
- OpenAlex
- W2165744313
- Cited by
- 8,339
- References
- 37
- Citations by year
- 2026: 114 · 2025: 184 · 2024: 244 · 2023: 281 · 2022: 265 · 2021: 288 · 2020: 336 · 2019: 364 · 2018: 429 · 2017: 501 · 2016: 500 · 2015: 554 · 2014: 640 · 2013: 556 · 2012: 571
- FWCI
- 209.52
- Type
- journal article
- Language
- en
- Open access
- green
- repository.upenn.edu
- Locations
- IEEE Transactions on Automatic Control (publishedVersion)
- Scholarly Commons (University of Pennsylvania) (submittedVersion)
- ScholarlyCommons (University of Pennsylvania) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Distributed Control Multi-Agent Systems
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Opinion Dynamics and Social Influence
- Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
- Keywords
- Vicsek model, collective coordination, nearest neighbor rule, multi-agent systems, convergence analysis, switched linear systems, common quadratic Lyapunov function, distributed coordination, flocking
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
