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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

2023

Ayoobi, H., Kasaei, H., Cao, M., Verbrugge, R., & Verheij, B. (2023). Explain What You See: Open-Ended Segmentation and Recognition of Occluded 3D Objects. Manuscript submitted for publication. In ICRA 2023- International Conference on Robotics and Automation arXiv. http://arxiv.org/abs/2301.07037
Martirosyan, E., & Cao, M. (2023). Inverse reinforcement learning for identification of linear–quadratic zero-sum differential games. Systems & Control Letters, 172, [ 105438]. https://doi.org/10.1016/j.sysconle.2022.105438

2022

Zheng, X. Z., Kamat, A. M., Krushynska, A., Cao, M., & Kottapalli, A. G. P. (2022). 3D Printed Graphene Piezoresistive Microelectromechanical System Sensors to Explain the Ultrasensitive Wake Tracking of Wavy Seal Whiskers. Advanced Functional Materials, 32(47), [2207274]. https://doi.org/10.1002/adfm.202207274
Frieswijk, K., Zino, L., Ye, M., Cao, M., & Rizzo, A. (2022). A mean-field analysis of a network behavioural–epidemic model. IEEE Control Systems Letters, 6, 2533-2538. https://doi.org/10.1109/LCSYS.2022.3168260
Kawano, Y., & Cao, M. (2022). Contraction analysis of virtually positive systems. Systems and Control Letters, 168, [105358]. https://doi.org/10.1016/j.sysconle.2022.105358
Jin, B., & Cao, M. (2022). Control using Q-learning for networked coordination games. In ASCC 2022 - 2022 13th Asian Control Conference, Proceedings (pp. 941-946). (ASCC 2022 - 2022 13th Asian Control Conference, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ASCC56756.2022.9828324
Cui, S., Liu, F., Jardón-Kojakhmetov, H., & Cao, M. (2022). Discrete-time Layered-network Epidemics Model with Time-varying Transition Rates and Multiple Resources. (ArXiv). arXiv. http://arxiv.org/abs/2206.07425v1
Kawano, Y., & Cao, M. (2022). Effects of Quantization and Dithering in Privacy Analysis for a Networked Control System. In 2021 60th IEEE Conference on Decision and Control (CDC) IEEE. https://doi.org/10.1109/CDC45484.2021.9683078
Zino, L., Ye, B., & Cao, M. (2022). Facilitating innovation diffusion in social networks using dynamic norms. PNAS Nexus, 1(5), 1-9. https://doi.org/10.1093/pnasnexus/pgac229
Zino, L., Tortasso, E., Ye, M., Cao, M., & Rizzo, A. (2022). Game-theoretic model for human decision-making during epidemics: Application and validation on COVID-19 in Italy. Abstract from Netsci-X 2022, Porto, Portugal.
Yao, W. Y., Lin, L., Anderson, B. D. O., & Cao, M. (2022). Guiding Vector Fields for Following Occluded Path. IEEE-Transactions on Automatic Control, 67(8), 4091 - 4106. https://doi.org/10.1109/TAC.2022.3179215
Yao, W. Y., Garcia de Marina Peinado, H., Sun, Z., & Cao, M. (2022). Guiding Vector Fields for the Distributed Motion Coordination of Mobile Robots. Manuscript submitted for publication. https://doi.org/10.1109/TRO.2022.3224257
Zino, L., Ye, M., Mlakar, Z., Bolderdijk, J. W., Risselada, H., Fennis, B. M., & Cao, M. (2022). Incentivizing social diffusion on networks using a novel game-theoretic model. Abstract from Netsci-X 2022, Porto, Portugal.
Martirosyan, E., & Cao, M. (2022). Inverse Learning for Linear-quadratic Zero-sum Differential Games. Abstract from 41st Benelux meeting on Systems and Control 2022, Brussels, Belgium.
Gong, L., Yao, W. Y., Gao, J., & Cao, M. (2022). Limit cycles analysis and control of evolutionary game dynamics with environmental feedback. Automatica, 145(8), [110536]. https://doi.org/10.1016/j.automatica.2022.110536
Martirosyan, E., & Cao, M. (2022). Model-based Inverse Learning for Linear-quadratic Zero-sum Differential Games. Abstract from 2022 European Control Conference (ECC).
Frieswijk, K., Zino, L., & Cao, M. (2022). Modelling the Effect of Vaccination and Human Behaviour on the Spread of Epidemic Diseases on Temporal Networks. In 2022 European Control Conference (ECC) (pp. 2291-2296). IEEE. https://doi.org/10.23919/ECC55457.2022.9838287
Portoles, O., Qin, Y., Hadida, J., Woolrich, M., Cao, M., & van Vugt, M. (2022). Modulations of local synchrony over time lead to resting-state functional connectivity in a parsimonious large-scale brain model. PLoS ONE, 17(10 October), [e0275819]. https://doi.org/10.1371/journal.pone.0275819
Ayoobi, H., Cao, M., Verbrugge, R., & Verheij, B. (2022). Online Incremental Learning with Abstract Argumentation Frameworks. In 1st Workshop on Argumentation and Machine Learning, ArgML 2022 (pp. 65-80). (CEUR Workshop Proceedings; Vol. 3208). CEUR-WS.org.
Lin, B., Yao, W. Y., & Cao, M. (2022). On Wilson’s theorem about domains of attraction and tubular neighborhoods. Systems & Control Letters, 167(7), [105322]. https://doi.org/10.1016/j.sysconle.2022.105322
Yang, Q., Fang, H., Cao, M., & Chen, J. (2022). Planar Affine Formation Stabilization via Parameter Estimations. IEEE Transactions on Cybernetics, 52(6), 5322-5332. https://doi.org/10.1109/TCYB.2020.3030270
Chen, L., Shi, M., Garcia de Marina, H., & Cao, M. (2022). Stabilizing and maneuvering angle rigid multi-agent formations with double-integrator agent dynamics. IEEE Transactions on Control of Network Systems, 9(3), 1362-1374. https://doi.org/10.1109/TCNS.2022.3153885
Portoles, O., Blesa, M., van Vugt, M., Cao, M., & Borst, J. P. (2022). Thalamic bursts modulate cortical synchrony locally to switch between states of global functional connectivity in a cognitive task. PLoS Computational Biology, 18(3), [e1009407]. https://doi.org/10.1371/journal.pcbi.1009407
Ramazi, P., Riehl, J., & Cao, M. (2022). The lower convergence tendency of imitators compared to best responders. Automatica, 139, [110185]. https://doi.org/10.1016/j.automatica.2022.110185
Yao, W., Lin, B., Anderson, B. D. O., & Cao, M. (2022). Topological Analysis of Vector-Field Guided Path Following on Manifolds. IEEE Transactions on Automatic Control. https://doi.org/10.1109/TAC.2022.3151236
Kottapalli, A. G. P., Zheng, X. Z., Kamat, A. M., & Cao, M. (2022). Wavy Whiskers in Wakes: Explaining the Trail-Tracking Capabilities of Whisker Arrays on Seal Muzzles. Advanced science , [202203062]. https://doi.org/10.1002/advs.202203062

2021

Ye, M., Liu, J., Anderson, B. D. O., & Cao, M. (2022). Applications of the Poincare-Hopf Theorem: Epidemic Models and Lotka-Volterra Systems. IEEE-Transactions on Automatic Control, 67(4), 1609-1624. https://doi.org/10.1109/TAC.2021.3064519
Gong, L., & Cao, M. (2022). Different Environment Feedback in Fast-slow Eco-evolutionary Dynamics and Resulting Limit Cycles. IEEE Control Systems Letters, 6, 1184-1189. https://doi.org/10.1109/LCSYS.2021.3089989
Ayoobi, H., Mohades Kasaei, H., Cao, M., Verbrugge, R., & Verheij, B. (2022). Local-HDP: Interactive open-ended 3D object category recognition in real-time robotic scenarios. Robotics and Autonomous Systems, 147, [103911]. https://doi.org/10.1016/j.robot.2021.103911
Chen, L., Garcia de Marina Peinado, H., & Cao, M. (2022). Maneuvering formations of mobile agents using designed mismatched angles. IEEE-Transactions on Automatic Control, 67(4), 1655-1668. https://doi.org/10.1109/TAC.2021.3066388
Zheng, X., Kamat, A. M., Cao, M., & Kottapalli, A. G. P. (2022). Natural frequency measurement of seal whiskers using a 3D-printed MEMS graphene-based cantilever sensor. In 2022 IEEE 35th International Conference on Micro Electro Mechanical Systems Conference (MEMS) (pp. 714-717). IEEE. https://doi.org/10.1109/MEMS51670.2022.9699636
Cenedese, C., Zino, L., Cucuzzella, M., & Cao, M. (2022). Optimal policy design to mitigate epidemics on networks using an SIS model. In 2021 IEEE Conference on Decision and Control (pp. 4266-4271). IEEE. https://doi.org/10.1109/CDC45484.2021.9683737
Qin, Y., Kawano, Y., Anderson, B. D. O., & Cao, M. (2022). Partial Exponential Stability Analysis of Slow-Fast Systems via Periodic Averaging. IEEE Transactions on Automatic Control, 67(10), 5479-5486. https://doi.org/10.1109/TAC.2021.3117151
Zino, L., & Cao, M. (2021). Analysis, Prediction, and Control of Epidemics: A Survey from Scalar to Dynamic Network Models. IEEE Circuits and Systems Magazine, 21(4), 4-23. https://doi.org/10.1109/MCAS.2021.3118100
Cenedese, C., Belgioioso, G., Grammatico, S., & Cao, M. (2021). An asynchronous distributed and scalable generalized Nash equilibrium seeking algorithm for strongly monotone games. European Journal of Control, 58, 143-151. https://doi.org/10.1016/j.ejcon.2020.08.006
Ayoobi, H., Cao, M., Verbrugge, R., & Verheij, B. (2021). Argue to Learn: Accelerated Argumentation-Based Learning. In 20th IEEE International Conference on Machine Learning and Applications (pp. 1118-1123). IEEE. https://doi.org/10.1109/ICMLA52953.2021.00183
Cenedese, C., Belgioioso, G., Kawano, Y., Grammatico, S., & Cao, M. (2021). Asynchronous and Time-Varying Proximal Type Dynamics in Multiagent Network Games. IEEE Transactions on Automatic Control, 66(6), 2861-2867. [9149654]. https://doi.org/10.1109/TAC.2020.3011916
Frieswijk, K., Zino, L., & Cao, M. (2021). A time-varying network model for sexually transmitted infections accounting for behavior and control actions. International Journal of Robust and Nonlinear Control. https://doi.org/10.1002/rnc.5930
Ye, M., Zino, L., Mlakar, Ž., Bolderdijk, J. W., Risselada, H., Fennis, B. M., & Cao, M. (2021). Collective patterns of social diffusion are shaped by individual inertia and trend-seeking. Nature Communications, 12(1), [5698]. https://doi.org/10.1038/s41467-021-25953-1
Zheng, X., Kamat, A. M., Cao, M., & Kottapalli, A. G. P. (2021). Creating underwater vision through wavy whiskers: A review of the flow sensing mechanisms and biomimetic potential of seal whiskers. Journal of the Royal Society Interface, 18(183), [20210629]. https://doi.org/10.1098/rsif.2021.0629
Yao, W., Garcia de Marina, H., Sun, Z., & Cao, M. (2021). Distributed coordinated path following using guiding vector fields. In 2021 IEEE Conference on Robotics and Automation (ICRA) (pp. 10030-10037). IEEE. https://doi.org/10.1109/ICRA48506.2021.9560845
Tan, X., Cao, M., & Cao, J. (2021). Distributed Dynamic Event-Based Control for Nonlinear Multi-Agent Systems. IEEE Transactions on Circuits and Systems II: Express Briefs, 68(2), 687-691. [9129868]. https://doi.org/10.1109/TCSII.2020.3006125
Bai, X., Cao, M., Yan, W., & Ge, S. S. (2021). Efficient Heuristic Algorithms for Single-Vehicle Task Planning With Precedence Constraints. IEEE Transactions on Cybernetics, 51(12), 6274 - 6283. https://doi.org/10.1109/TCYB.2020.2974832
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, 8(3), 2325-5870. https://doi.org/10.1109/TCNS.2021.3065667
Ye, M., Zino, L., Rizzo, A., & Cao, M. (2021). Game-theoretic modeling of collective decision making during epidemics. Physical Review E, 104, [024314 ]. https://doi.org/10.1103/PhysRevE.104.024314
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
Qin, Y., Cao, M., Anderson, B. D. O., Bassett, D. S., & Pasqualetti, F. (2021). 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
Zino, L., Ye, M., Rizzo, A., & Cao, M. (2021). Modeling Collective Behavioral Response to the COVID-19 Pandemic and Non-Pharmaceutical Interventions.. Abstract from 2021 Mediterranean Conference on Control and Automation.
Frieswijk, K., Zino, L., & Cao, M. (2021). Modelling Behavioural Preferences in Epidemic Models for Sexually Transmitted Infections on Temporal Networks. In 2021 European Control Conference (ECC): Proceedings (pp. 1491-1496). EUCA. https://doi.org/10.23919/ECC54610.2021.9654961
Kawano, Y., Kashima, K., & Cao, M. (2021). Modular control under privacy protection: Fundamental trade-offs. Automatica, 127, [109518]. https://doi.org/10.1016/j.automatica.2021.109518
Zino, L., Ye, M., Rizzo, A., & Cao, M. (2021). Novel game-theoretic modeling of collective decision-making during epidemics. Abstract from NETWORKS 2021.
Cenedese, C., Cucuzzella, M., Zino, L., Cao, M., Scherpen, J. M. A., & van der Schaft, A. (2021). On an Optimal Control Approach Toward Mitigating an SIS Epidemic Model. Abstract from European Control Conference 2021, Rotterdam, Netherlands.
Cunha, R., Zino, L., & Cao, M. (2021). On imitation dynamics in population games with Markov switching. In 2021 European Control Conference (ECC) (pp. 722-727). [9655147] IEEE. https://doi.org/10.23919/ECC54610.2021.9655147
Zino, L., Ye, M., & Cao, M. (2021). On modeling social diffusion under the impact of dynamic norms. In 60th IEEE Conference on Decision and Control, CDC 2021 (pp. 4976-4981). (Proceedings of the IEEE Conference on Decision and Control; Vol. 2021-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/10.1109/CDC45484.2021.9682999
Frieswijk, K., Zino, L., & Cao, M. (2021). On the Modelling of Behaviour in Epidemic Network Models for Sexually Transmitted Infections. 55. Abstract from Benelux meeting on Systems and Control 2021, Rotterdam, Netherlands.
Zheng, X., Kamat, A. M., Harish, V. S., Cao, M., & Kottapalli, A. G. P. (2021). Optimizing harbor seal whisker morphology for developing 3D-printed flow sensor. In 21st International Conference on Solid-State Sensors, Actuators and Microsystems (Transducers) (pp. 1271-1274). IEEE. https://doi.org/10.1109/Transducers50396.2021.9495504
Qin, Y., Kawano, Y., Portoles Marin, O., & Cao, M. (2021). Partial Phase Cohesiveness in Networks of Networks of Kuramoto Oscillators. IEEE-Transactions on Automatic Control, 66(12), 6100-6107. 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, 8(3), 1324-1335. https://doi.org/10.1109/TCNS.2021.3065655
Yao, W., Lin, B., Anderson, B. D. O., & Cao, M. (2021). Refining dichotomy convergence in vector-field guided path-following control. In European Control Conference (ECC) (pp. 984-989). IEEE. https://doi.org/10.23919/ECC54610.2021.9654862
Yao, W., Garcia de Marina, H., Lin, B., & Cao, M. (2021). Singularity-free guiding vector field for robot navigation. IEEE Transaction on Robotics, 37(4), 1206-1221. https://doi.org/10.1109/TRO.2020.3043690
Liu, Y., Meng, Z., Zou, Y., & Cao, M. (2021). Visual Object Tracking and Servoing Control of a Nano-Scale Quadrotor: System, Algorithms, and Experiments. IEEE/CAA Journal of Automatica Sinica, 8(2), 344-360. [9269525]. https://doi.org/10.1109/JAS.2020.1003530

2020

Chen, L., Cao, M., & Li, C. (2021). Angle rigidity and its usage to stabilize multi-agent formations in 2D. IEEE Transactions on Automatic Control, 66(8), 3667-3681. https://doi.org/10.1109/TAC.2020.3025539
Martirosyan, E., Govaert, A., & Cao, M. (2021). Autocratic strategies for infinitely iterated multiplayer social dilemma games. In 21th IFAC World Congress: Proceedings (pp. 2838-2843). (IFAC-PapersOnLine; Vol. 53, No. 2). Elsevier. https://doi.org/10.1016/j.ifacol.2020.12.2528
Jin, B., Li, H., Yan, W., & Cao, M. (2021). Distributed Model Predictive Control and Optimization for Linear Systems With Global Constraints and Time-Varying Communication. IEEE Transactions on Automatic Control, 66(7), 3393-3400. [9186330]. https://doi.org/10.1109/TAC.2020.3021528
Govaert, A., & Cao, M. (2021). Zero-Determinant strategies in repeated multiplayer social dilemmas with discounted payoffs. IEEE-Transactions on Automatic Control, 66(10), 4575-4588. https://doi.org/10.1109/TAC.2020.3032086
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
Kawano, Y., Kashima, K., & Cao, M. (2020). A Fundamental Performance Limit of Cloud-based Control in Terms of Differential Privacy Level. In R. Findeisen, S. Hirche, K. Janschek, & M. Mönnigmann (Eds.), IFAC-PapersOnLine (pp. 11018-11023). (IFAC-PapersOnLine; Vol. 53, No. 2). Elsevier. https://doi.org/10.1016/j.ifacol.2020.12.220
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
Zino, L., Ye, M., & Cao, M. (2020). A novel framework to capture the coevolution of opinions and decisions in complex networks. Abstract from International School and Conference on Network Science.
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
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
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. [9091341]. https://doi.org/10.1109/TAC.2020.2994030
Ye, M., Liu, J., Anderson, B. D. O., & Cao, M. (2020). Distributed feedback control on the SIS network model: An impossibility result. In R. Findeisen, S. Hirche, K. Janschek, & M. Mönnigmann (Eds.), IFAC-PapersOnLine (pp. 10955-10962). (IFAC-PapersOnLine; Vol. 53). Elsevier. https://doi.org/10.1016/j.ifacol.2020.12.2844
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
Xue, D., Hirche, S., & Cao, M. (2020). Evolution of social power over influence networks containing antagonistic interactions. Information Sciences, 540, 449-468. https://doi.org/10.1016/j.ins.2020.05.142
Frieswijk, K., Govaert, A., & Cao, M. (2020). Exerting Control in Repeated Social Dilemmas with Thresholds. In R. Findeisen, S. Hirche, K. Janschek, & M. Mönnigmann (Eds.), IFAC-PapersOnLine (pp. 16946-16951). (IFAC-PapersOnLine; Vol. 53, No. 2). IFAC. https://doi.org/10.1016/j.ifacol.2020.12.1238
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]. https://doi.org/10.1098/rsif.2020.0639
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
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.
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
Ayoobi, H., Kasaei, H., Cao, M., Verbrugge, R., & Verheij, B. (2020). Local-HDP: Interactive Open-Ended 3D Object Categorization in Real-Time Robotic Scenarios. Manuscript submitted for publication. http://arxiv.org/abs/2009.01152v3
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.

2019

Ayoobi, H., Cao, M., Verbrugge, R., & Verheij, B. (2022). Argumentation-Based Online Incremental Learning. IEEE Transactions on Automation Science and Engineering, 194(4), 3419-3433. https://doi.org/10.1109/TASE.2021.3120837
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
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