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Cao, Prof. Ming

Ming Cao
Ming Cao

Ming Cao is Professor of Networks and Robots at the Faculty of Science and Engineering. His research focuses on multi-agent systems, complex systems and networks, sensor networks and autonomous robots. Cao conducts ground-breaking research in the field of control systems that allow groups of autonomous robots to work together. If autonomous cars and robots are to function effectively and safely, they must be able to take each other’s actions into account. Cao works on this development with colleagues from the fields of sociology, mathematics and biology. The algorithms he develops for robots are partly inspired by the movements of animals, particularly fish and birds, which also act in formation.

Cao obtained a Bachelor's degree in Engineering at Tsinghua University in Peking, China, in 1999. He then graduated as a Master of Engineering at the same university in 2002. In 2003, he also obtained a Master of Science degree at Yale University in New Haven, the United States, and in 2007, he was awarded a PhD by the Department of Electrical Engineering at Yale University.

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Publications

2021

Ye, M., Liu, J., Anderson, B. D. O., & Cao, M. (2021). Applications of the Poincare-Hopf Theorem: Epidemic Models and Lotka-Volterra Systems. IEEE-Transactions on Automatic Control. https://doi.org/10.1109/TAC.2021.3064519
Yao, W., Garcia de Marina, H., Sun, Z., & Cao, M. (Accepted/In press). Distributed coordinated path following using guiding vector fields. In IEEE Conference on Robotics and Automation (ICRA) arXiv.
Tan, X., Cao, M., Cao, J., Xu, W., & Luo, Y. (2021). Event-triggered Synchronization of Multi-agent Systems with Partial Input Saturation. IEEE Transactions on Control of Network Systems. https://doi.org/10.1109/TCNS.2021.3065667
Taghvafard, H., Jardon Kojakhmetov, H., Szmolyan, P., & Cao, M. (2021). Geometric analysis of oscillations in the Frzilator model. Journal of Mathematical Analysis and Applications, 495(1), [124725]. https://doi.org/10.1016/j.jmaa.2020.124725
Ramazi, P., & Cao, M. (2021). Global Convergence for Replicator Dynamics of Repeated Snowdrift Games. IEEE Transaction on Automatic Control, 66(1), 291 - 298. https://doi.org/10.1109/TAC.2020.2975811
Chen, L., Garcia de Marina Peinado, H., & Cao, M. (2021). Maneuvering formations of mobile agents using designed mismatched angles. IEEE-Transactions on Automatic Control. https://doi.org/10.1109/TAC.2021.3066388
Zheng, X., Kamat, A. M., Harish, V. S., Cao, M., & Kottapalli, A. G. P. (Accepted/In press). Optimizing harbor seal whisker morphology for developing 3D-printed flow sensor. Paper presented at Transducers 2021, .
Qin, Y., Kawano, Y., Portoles Marin, O., & Cao, M. (2022). Partial Phase Cohesiveness in Networks of Networks of Kuramoto Oscillators. IEEE-Transactions on Automatic Control, 67(2). https://doi.org/10.1109/TAC.2021.3062005
Govaert, A., Ramazi, P., & Cao, M. (2021). Rationality, Imitation and Rational Imitation in Spatial Public Goods Games. IEEE Transactions on Control of Network Systems. https://doi.org/10.1109/TCNS.2021.3065655
Yao, W., Lin, B., Anderson, B. D. O., & Cao, M. (Accepted/In press). Refining dichotomy convergence in vector-field guided path-following control. In European Control Conference (ECC)
Yao, W., Garcia de Marina, H., Lin, B., & Cao, M. (2021). Singularity-free guiding vector field for robot navigation. IEEE Transaction on Robotics. https://doi.org/10.1109/TRO.2020.3043690

2020

Zino, L., Ye, M., & Cao, M. (2020). A Coevolutionary Model for Actions and Opinions in Social Networks. In 2020 59th IEEE Conference on Decision and Control, CDC 2020 (pp. 1110-1115). [9303954] (Proceedings of the IEEE Conference on Decision and Control; Vol. 2020-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC42340.2020.9303954
Zino, L., Ye, M., & Cao, M. (2020). A two-layer model for coevolving opinion dynamics and collective decision-making in complex social systems. Chaos, 30(8), [083107]. https://doi.org/10.1063/5.0004787
Xia, W., Ye, M., Liu, J., Cao, M., & Sun, X-M. (2020). Analysis of a nonlinear opinion dynamics model with biased assimilation. Automatica, 120, [109113]. https://doi.org/10.1016/j.automatica.2020.109113
Chen, L., Cao, M., & Li, C. (2020). Angle rigidity and its usage to stabilize multi-agent formations in 2D. IEEE Transactions on Automatic Control. https://doi.org/10.1109/TAC.2020.3025539
Wang, Z., Chen, L., Liu, F., Yi, P., Cao, M., & Mei, S. (2020). Asynchronous Distributed Power Control of Multimicrogrid Systems. IEEE Transactions on Control of Network Systems, 7(4), 1960 - 1973. https://doi.org/10.1109/TCNS.2020.3018703
Martirosyan, E., Govaert, A., & Cao, M. (Accepted/In press). Autocratic strategies for infinitely iterated multiplayer social dilemma games. Paper presented at 21st IFAC World Congress 2020, Berlin, Germany.
Martirosyan, E., Govaert, A., & Cao, M. (2020). Autocratic Strategies for Infinitely Repeated Nplayer Games With Arbitrary Actions Spaces. 115. Abstract from 39th Benelux Meeting on Systems and Control, Elspeet, Netherlands.
Cenedese, C., Fabiani, F., Cucuzzella, M., Scherpen, J. M. A., Cao, M., & Grammatico, S. (2020). Charging Plug-in Electric Vehicles: A Game Theoretic Approach. 110. Abstract from 39th Benelux Meeting on Systems and Control, Elspeet, Netherlands.
Ye, B., Liu, J., Wang, L., Anderson, B. D. O., & Cao, M. (2020). Consensus and Disagreement of Heterogeneous Belief Systems in Influence Networks. IEEE-Transactions on Automatic Control, 65(11), 4679-4694. [8941271]. https://doi.org/10.1109/TAC.2019.2961998
Kawano, Y., Besselink, B., & Cao, M. (2020). Contraction Analysis of Monotone Systems via Separable Functions. IEEE-Transactions on Automatic Control, 65(8), 3486-3501. [8854175]. https://doi.org/10.1109/TAC.2019.2944923
Ramazi, P., & Cao, M. (2020). Convergence of linear threshold decision-making dynamics in finite heterogeneous populations. Automatica, 119, [109063]. https://doi.org/10.1016/j.automatica.2020.109063
Kawano, Y., Besselink, B., Scherpen, J. M. A., & Cao, M. (2020). Data-Driven Model Reduction of Monotone Systems by Nonlinear DC Gains. IEEE-Transactions on Automatic Control, 65(5), 2094 - 2106. [8822957]. https://doi.org/10.1109/TAC.2019.2939191
Taghvafard, H., Cao, M., Kawano, Y., & Faghih, R. (2020). Design of Intermittent Control for Cortisol Secretion Under Time-Varying Demand and Holding Cost Constraints. Ieee transactions on biomedical engineering, 67(2), 556-564. [8720043]. https://doi.org/10.1109/TBME.2019.2918432
Kawano, Y., & Cao, M. (2020). Design of Privacy-Preserving Dynamic Controllers: Special Issue of "Security and Privacy of Distributed Algorithms and Network Systems". IEEE Transaction on Automatic Control, 65(9), 3863-3878. https://doi.org/10.1109/TAC.2020.2994030
Lin, Z., Zhimin, H., & Cao, M. (2020). Distributed Localization for Multi-Robot Systems in Presence of Unlocalizable Robots. In 2020 59th IEEE Conference on Decision and Control (CDC) IEEE. https://doi.org/10.1109/CDC42340.2020.9304254
Jin, B., & Cao, M. (2020). Distributed Model Predictive Control for Linear Systems Under Time-varying Communication. 92. Abstract from 39th Benelux Meeting on Systems and Control, Elspeet, Netherlands.
Bai, X., Cao, M., Yan, W., & Ge, S. S. (2020). Efficient Routing for Precedence-Constrained Package Delivery for Heterogeneous Vehicles. IEEE Transactions on Automation Science and Engineering, 17(1), 248-260. [8725908]. https://doi.org/10.1109/TASE.2019.2914113
Bai, X., Cao, M., & Yan, W. (2020). Event- and time-triggered dynamic task assignments for multiple vehicles: Special Issue on Multi-Robot and Multi-Agent Systems. Autonomous Robots, 44(5), 877–888. https://doi.org/10.1007/s10514-020-09912-1
Frieswijk, K., Govaert, A., & Cao, M. (Accepted/In press). Exerting Control in Repeated Social Dilemmas with Thresholds. Paper presented at 21st IFAC World Congress, Berlin, Germany.
Cao, M. (2020). Human Decision-Making in Multi-Agent Systems. In J. Baillieul, & T. Samad (Eds.), Encyclopedia of Systems and Control Springer. https://doi.org/10.1007/978-1-4471-5102-9_100124-1
Huang, F., Cao, M., & Wang, L. (2020). Learning enables adaptation in cooperation for multi-player stochastic games. Journal of the Royal Society Interface, 17(172), 20200639. [20200639]. https://doi.org/10.1098/rsif.2020.0639
Gong, L., & Cao, M. (2020). Limit Cycles in Replicator-Mutator Dynamics With Game-Environment Feedback. 160. Abstract from 39th Benelux Meeting on Systems and Control, Elspeet, Netherlands.
Gong, L., Yao, W., Gao, J., & Cao, M. (2020). Limit Cycles in Replicator-Mutator Dynamics with Game-Environment Feedback. In R. Findeisen, S. Hirche, K. Janschek, & M. Mönnigmann (Eds.), 21th IFAC World Congress (Issue 2 ed., Vol. 53). IFAC-PapersOnLine. https://doi.org/10.1016/j.ifacol.2020.12.955
Ayoobi, H., Kasaei, H., Cao, M., Verbrugge, R., & Verheij, B. (2020). Local-HDP: Interactive Open-Ended 3D Object Categorization. Manuscript submitted for publication. http://arxiv.org/abs/2009.01152v1
Qin, Y., Cao, M., Anderson, B. D. O., Bassett, D. S., & Pasqualetti, F. (2020). Mediated Remote Synchronization of Kuramoto-Sakaguchi Oscillators: The Number of Mediators Matters. IEEE Control Systems Letters, 5(3), 767-772. https://doi.org/10.1109/LCSYS.2020.3005449
Cao, M. (2020). Merging game theory and control theory in the era of AI and autonomy. National Science Review, 7(7), 1122-1124. https://doi.org/10.1093/nsr/nwaa046
Yao, W., & Cao, M. (2020). Mobile Robot Path Following Control: Singularity Elimination. 25. Abstract from 39th Benelux Meeting on Systems and Control (2020), Elspeet, Netherlands.
Zhou, N., Kawano, Y., & Cao, M. (2020). Neural Network-Based Adaptive Control for Spacecraft Under Actuator Failures and Input Saturations. IEEE Transactions on Neural Networks and Learning Systems, 31(9), 3696 - 3710. [8894505]. https://doi.org/10.1109/TNNLS.2019.2945920
Zino, L., Ye, B., & Cao, M. (2020). On the Inclusion of Cognitive Mechanisms in Social Diffusion Models. 112. Abstract from 39th Benelux Meeting on Systems and Control, Elspeet, Netherlands.
Xue, T., Hirche, S., & Cao, M. (2020). Opinion Behavior Analysis in Social Networks Under the Influence of Coopetitive Media. IEEE Transactions on Network Science and Engineering, 7(3), 961 - 974. [8621021]. https://doi.org/10.1109/TNSE.2019.2894565
Kapitaniuk, Y., Proskurnikov, A., & Cao, M. (2020). Optimal universal controllers for roll stabilization. Ocean Engineering, 197(3), [106911]. https://doi.org/10.1016/j.oceaneng.2019.106911
Yao, W., & Cao, M. (2020). Path following control in 3D using a vector field. Automatica, 117, [108957]. https://doi.org/10.1016/j.automatica.2020.108957
Proskurnikov, A., Calafiore, G., & Cao, M. (2020). Recurrent averaging inequalities in multi-agent control and social dynamics modeling. Annual Reviews in Control, 49(6), 95-112. https://doi.org/10.1016/j.arcontrol.2020.04.014
Govaert, A., & Cao, M. (2020). Strategically influencing an uncertain future. Scientific Reports, 10(1), [12169]. https://doi.org/10.1038/s41598-020-69006-x
Zhang, J., & Cao, M. (2020). Strategy Competition Dynamics of Multi-Agent Systems in the Framework of Evolutionary Game Theory. IEEE Transactions on Circuits and Systems. II: Express Briefs, 67(1), 152-156. [8689079]. https://doi.org/10.1109/TCSII.2019.2910893
Cenedese, C., Belgioioso, G., Grammatico, S., & Cao, M. (2020). Time-Varying Constrained Proximal Type Dynamics in Multi-Agent Network Games. In 2020 European Control Conference (ECC) IEEE. https://doi.org/10.23919/ECC51009.2020.9143683
Yao, W., Garcia de Marina, H., & Cao, M. (2020). Vector Field Guided Path Following Control: Singularity Elimination and Global Convergence. In 2020 59th IEEE Conference on Decision and Control (CDC) IEEE. https://doi.org/10.1109/CDC42340.2020.9303923
Govaert, A., & Cao, M. (2020). Zero-Determinant strategies in repeated multiplayer social dilemmas with discounted payoffs. IEEE-Transactions on Automatic Control. https://doi.org/10.1109/TAC.2020.3032086

2019

Yao, W., Lin, B., & Cao, M. (2020). Integrated Path Following and Collision Avoidance Using a Composite Vector Field. In Proceedings of the 58th IEEE Conference on Decision and Control (pp. 250-255). IEEE. https://doi.org/10.1109/CDC40024.2019.9029903
Qin, Y., Cao, M., & Anderson, B. D. O. (2020). Lyapunov Criterion for Stochastic Systems and Its Applications in Distributed Computation. IEEE-Transactions on Automatic Control, 65(2), 546-560. [8691522]. https://doi.org/10.1109/TAC.2019.2910948
Govaert, A., Cenedese, C., Grammatico, S., & Cao, M. (2020). Relative Best Response Dynamics in Finite and Convex Network Games. In Proceedings of the 58th IEEE Conference on Decision and Control (pp. 3134-3139). [9029821] IEEE. https://doi.org/10.1109/CDC40024.2019.9029821
Sun, Z., & Cao, M. (2019). A Self-triggered MPC with Shrinking Prediction Horizon for Nonlinear Systems. Abstract from 38th Benelux Meeting on Systems and Control 2019, Lommel, Belgium.
Zhou, N., Huang, J., & Cao, M. (2019). Adaptive Behavioral Control for Seconde-Order Autonomous Agents. 128-129. Abstract from 38th Benelux Meeting on Systems and Control 2019, Lommel, Belgium.
Zhou, N., Kawano, Y., & Cao, M. (2019). Adaptive Failure-Tolerant Control for Spacecraft Attitude Tracking. In Proceedings of the IFAC LSS 2019 (pp. 67-72). (IFAC-PapersOnLine; Vol. 52, No. 3). Elsevier. https://doi.org/10.1016/j.ifacol.2019.06.012
Huang, J., Zhou, N., & Cao, M. (2019). Adaptive Fuzzy Behavioral Control of Second-Order Autonomous Agents With Prioritized Missions: Theory and Experiments. IEEE Transactions on Industrial Electronics, 66(12), 9612-9622. https://doi.org/10.1109/TIE.2019.2892669
Cenedese, C., Belgioioso, G., Grammatico, S., & Cao, M. (2019). An asynchronous distributed generalized Nash equilibrium seeking algorithm for nooncooperative games. 57-58. Abstract from 38th Benelux Meeting on Systems and Control 2019, Lommel, Belgium.
Cenedese, C., Belgioioso, G., Grammatico, S., & Cao, M. (2019). An Asynchronous, Forward-Backward, Distributed Generalized Nash Equilibrium Seeking Algorithm (I). In Proceedings of the European Control Conference 2019 IEEE. https://doi.org/10.23919/ECC.2019.8795952
Ye, M., Qin, Y., Govaert, A., Anderson, B. D. O., & Cao, M. (2019). An influence network model to study discrepancies in expressed and private opinions. Automatica, 107(9), 371-381. https://doi.org/10.1016/j.automatica.2019.05.059
Ayoobi, H., Cao, M., Verbrugge, R., & Verheij, B. (2019). Argumentation-Based Incremental Learning for Home Robotics. Manuscript submitted for publication.
Chen, L., Cao, M., & Li, C. (2019). Bearing rigidity and formation stabilization for multiple rigid bodies in SE(3). Numerical algebra control and optimization, 9(3), 257-267. https://doi.org/10.3934/naco.2019017
Fernandes Cunha, R., Ye, B., & Cao, M. (2019). Changing the Perception of Social Power in Opinion Dynamics. 55-56. Abstract from 38th Benelux Meeting on Systems and Control 2019, Lommel, Belgium.
Cenedese, C., Fabiani, F., Cucuzzella, M., Scherpen, J. M. A., Cao, M., & Grammatico, S. (2019). Charging Plug-In Electric Vehicles As a Mixed-Integer Aggregative Game. In Proceedings of the 58th Conference on Decision and Control IEEE.
Bai, X., Yan, W., Cao, M., & Xue, D. (2019). Distributed multi-vehicle task assignment in a time-invariant drift field with obstacles. IET Control Theory and Applications, 13(17), 2886-2893. https://doi.org/10.1049/iet-cta.2018.6125
Gong, L., & Cao, M. (2019). Evolution of Cooperation on Dynamic Network of Networks. 59-60. Abstract from 38th Benelux Meeting on Systems and Control 2019, Lommel, Belgium.
Ayoobi, H., Cao, M., Verbrugge, R., & Verheij, B. (2019). Extended Abstract: Handling Unforeseen Failures Using Argumentation-Based Learning. In Springer CCIS Series Springer.
Xia, W., Liu, J., Cao, M., Johansson, K. H., & Basar, T. (2019). Generalized Sarymsakov Matrices. IEEE-Transactions on Automatic Control, 64(8), 3085-3100. https://doi.org/10.1109/TAC.2018.2878476
Ayoobi, H., Cao, M., Verbrugge, L., & Verheij, B. (2019). Handling unforeseen failures using argumentation-based learning. In International Conference on Automation Science and Engineering (CASE) 2019 (pp. 1699-1704). (IEEE International Conference on Automation Science and Engineering; Vol. 2019-August). IEEE Computer Society. https://doi.org/10.1109/COASE.2019.8843207
Yao, W., Kapitaniuk, Y., & Cao, M. (2019). High-Dimensional Vector Field for Path Following. 115-116. Abstract from 38th Benelux Meeting on Systems and Control 2019, Lommel, Belgium.
Taghvafard, H., Medvedev, A., Proskurnikov, A., & Cao, M. (2019). Impulsive model of endocrine regulation with a local continuous feedback. Mathematical Biosciences, 310(4), 128-135. https://doi.org/10.1016/j.mbs.2019.02.006
Riehl, J., Ramazi, P., & Cao, M. (2019). Incentive-Based Control of Asynchronous Best-Response Dynamics on Binary Decision Networks. IEEE Transactions on Control of Network Systems, 6(2), 727-736. https://doi.org/10.1109/TCNS.2018.2873166
Chen, L., Cao, M., Li , C., Cheng, X., & Kapitaniuk, Y. (2019). Multi-agent formation control using angle measurements. In Proceedings of the American Control Conference 2019 IEEE. https://doi.org/10.23919/ACC.2019.8814738
Xia, W., Shi, G., Meng, Z., Cao, M., & Johansson, K. (2019). Persistent Flows in Deterministic Chains. IEEE Transactions on Automatic Control, 64(7), 2766-2781. https://doi.org/10.1109/TAC.2019.2893974
Chen, Y., Xia, W., Cao, M., & Lu, J. (2019). Random asynchronous iterations in distributed coordination algorithms. Automatica, 109, [108505]. https://doi.org/10.1016/j.automatica.2019.108505
Wu, Y., Xia, W., Cao, M., & Sun, X-M. (2019). Reach control problem for affine multi-agent systems on simplices. Automatica, 107(9), 264-271. https://doi.org/10.1016/j.automatica.2019.05.052
Zhang, H., & Cao, M. (2019). Rotational Control of Body-Hinge Frameworks. Abstract from 38th Benelux Meeting on Systems and Control 2019, Lommel, Belgium.
Sun, Z., Rostampour Samarin, V., & Cao, M. (2019). Self-Triggered Stochastic MPC for Linear Systems With Disturbances. IEEE Control Systems Letters, 3(4), 787 - 792. https://doi.org/10.1109/LCSYS.2019.2918763
Govaert, A., & Cao, M. (2019). Strategic Differentiation in Non-Cooperative Games on Networks (I). In Proceedings of the European Control Conference 2019 IEEE. https://doi.org/10.23919/ECC.2019.8795771
Yang, Q., Sun, Z., Cao, M., Fang, H., & Chen, J. (2019). Stress-matrix-based formation scaling control. Automatica, 101, 120-127. https://doi.org/10.1016/j.automatica.2018.11.046
Kawano, Y., & Cao, M. (2019). Structural Accessibility and Its Applications to Complex Networks Governed by Nonlinear Balance Equations. IEEE-Transactions on Automatic Control, 64(11), 4607-4614. https://doi.org/10.1109/TAC.2019.2901822
Chen, L., Cao, M., Garcia de Marina, H., Guo, Y., & Kapitaniuk, Y. (2019). Triangular Formation Maneuver Using Designed Mismatched Angles. In Proceedings of the European Control Conference 2019 IEEE. https://doi.org/10.23919/ECC.2019.8795944
Yang, Q., Fang, H., Cao, M., Shang, C., & Wei, Y. (2019). Tunable formation realization for nonholonomic mobile robots using the stress matrix. In Proceedings of the 38th Chinese Control Conference 2019 IEEE. https://doi.org/10.23919/ChiCC.2019.8866459
Govaert, A., & Cao, M. (2019). Zero-Determinant strategies in finitely repeated n-player games. In Proceedings of the IFAC LSS 2019 (pp. 150-155). (IFAC-PapersOnLine; Vol. 52, No. 3). Elsevier. https://doi.org/10.1016/j.ifacol.2019.06.026

2018

Kawano, Y., Gong, L., Anderson, B. D. O., & Cao, M. (2019). Evolutionary dynamics of two communities under environmental feedback: Special Issue on Control and Network Theory for Biological Systems. IEEE Control Systems Letters, 3(2), 254-259. https://doi.org/10.1109/LCSYS.2018.2866775
Yang, Q., Cao, M., & Anderson, B. D. O. (2019). Growing Super Stable Tensegrity Frameworks. IEEE Transactions on Cybernetics, 49(7), 2524-2535. https://doi.org/10.1109/TCYB.2018.2826049
Kapitaniuk, I., Proskurnikov, A., & Cao, M. (2018). A guiding vector field algorithm for path following control of nonholonomic mobile robots. IEEE Transactions on Control Systems Technology, 26(4), 1372-1385. https://doi.org/10.1109/TCST.2017.2705059
Riehl, J. R., Ramazi, P., & Cao, M. (2018). A survey on the analysis and control of evolutionary matrix games. Annual Reviews in Control, 45, 87-106. https://doi.org/10.1016/j.arcontrol.2018.04.010
Bai, X., Yan, W., Ge, S. S., & Cao, M. (2018). An integrated multi-population genetic algorithm for multi-vehicle task assignment in a drift field. Information Sciences, 453, 227-238. https://doi.org/10.1016/j.ins.2018.04.044
Cenedese, C., & Cao, M. (2018). Asynchronous proximal dynamics in multi-agent network games. 134-134. Abstract from 37th Benelux meeting on Systems and Control, Soesterberg, Netherlands.
Chen, L., & Cao, M. (2018). Controlling triangular formations using angle information. 86-86. Abstract from 37th Benelux meeting on Systems and Control, Soesterberg, Netherlands.
Liu, H., Lin, Z., Cao, M., Wang, X., & Lv, J. (2018). Coordinate-free formation control of multi-agent systems using rooted graphs. Systems & Control Letters, 119(9), 8-15. https://doi.org/10.1016/j.sysconle.2018.06.006
Kawano, Y., & Cao, M. (2018). Differential Privacy and Qualitative Privacy Analysis for Nonlinear Dynamical Systems. In Proceedings of the 7th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys 2018) (pp. 51-57). (IFAC-PapersOnLine; Vol. 51, No. 23). IFAC. https://doi.org/10.1016/j.ifacol.2018.12.010
Yang, Q., Cao, M., Garcia de Marina, H., Fang, H., & Chen, J. (2018). Distributed formation tracking using local coordinate systems. Systems & Control Letters, 111(1), 70-78. https://doi.org/10.1016/j.sysconle.2017.11.004
Cao, M. (2018). Evolutionary Decision-Making Dynamics among Networks of Autonomous Agents. In Proceedings of the The 23rd International Symposium on Mathematical Theory of Networks and Systems (MTNS 2018)
Gong, L., Gao, J., & Cao, M. (2018). Evolutionary Game Dynamics for Two Interacting Populations in a Co-evolving Environment. In 2018 IEEE Conference on Decision and Control (CDC) (pp. 3535-3540) https://doi.org/10.1109/CDC.2018.8619801

2017

Yang, Q., Cao, M., Fang, H., & Chen, J. (2019). Constructing Universally Rigid Tensegrity Frameworks with Application in Multi-Agent Formation Control. IEEE Transactions on Automatic Control, 64(1), 381-388. https://doi.org/10.1109/TAC.2018.2829687
Riehl, J. R., & Cao, M. (2018). A Centrality-Based Security Game for Multi-Hop Networks. IEEE Transactions on Control of Network Systems, 5(4), 1507-1516. https://doi.org/10.1109/TCNS.2017.2728202
Ramazi, P., & Cao, M. (2018). Asynchronous Decision-Making Dynamics Under Best-Response Update Rule in Finite Heterogeneous Populations. IEEE Transactions on Automatic Control, 63(3), 742-751. https://doi.org/10.1109/TAC.2017.2737142
Chen, Y., Xia, W., Cao, M., & Lu, J. (2018). Asynchronous Implementation of Distributed Coordination Algorithms: Conditions Using Partially Scrambling and Essentially Cyclic Matrices. IEEE Transactions on Automatic Control, 63(6), 1655-1662. https://doi.org/10.1109/TAC.2017.2756340
Xia, W., & Cao, M. (2018). Determination of clock synchronization errors in distributed networks. SIAM Journal on Control and Optimization, 56(2), 610-632. https://doi.org/10.1137/16M1081397
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