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王琦少 ( 副教授 ) 赞
的个人主页 http://shi.buaa.edu.cn/wangqishao/zh_CN/index.htm
副教授博士生导师硕士生导师

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[1] .Bai N, Wang Q, Duan Z, et al. Distributed optimal consensus control of constrained multi-agent systems: a non-separable optimization perspective. IEEE Transactions on Automatic Control (Full Paper), 2024, DOI: 10.1109/TAC.2024.3390849.
[2] .Bai N, Duan Z, Wang Q. Distributed optimal consensus of multi-agent systems: A randomized parallel approach. Automatica (Regular Paper), 2024, 159: 111339.
[3] .Duan P, Qian J, Wang Q, et al. Distributed state estimation for continuous-time linear systems with correlated measurement noise. IEEE Transactions on Automatic Control (Full Paper), 2022, 67(9): 4614-4628.
[4] .Zhao Y, Wang Q, Lv Y, et al. Integrated adaptive consensus protocol design for linear multi-agent systems with relative output information. Automatica, 2024, 166: 111719.,2024
[5] .Wang Q, Duan Z, Wang J, et al. An accelerated algorithm for linear quadratic optimal consensus of heterogeneous multi-agent systems. IEEE Transactions on Automatic Control, 2022, 67(1): 421-428.
[6] .Wang Q, Duan Z, Lv Y., Wang Q and Chen G, Linear quadratic optimal consensus of discrete-time multi-agent systems with optimal steady state: A distributed model predictive control approach, Automatica, 2021, 127: 109505.
[7] .Wang Q, Duan Z, Wang J and Chen G, LQ synchronization of discrete-time multi-agent systems: a distributed optimization approach, IEEE Transactions on Automatic Control, 2019, 64(12): 5183-5190.
[8] .Duan P, Wang Q, Duan Z, et al. A distributed optimization scheme for state estimation of nonlinear networks with norm-bounded uncertainties. IEEE Transactions on Automatic Control, 2021, 67(5): 2582-2589.
[9] .Wang Q, Lv Y, Wang Q. Integrated adaptive protocols for consensus tracking with lipchitz nonlinear dynamics. IEEE Transactions on Control of Network Systems, 2023, 10 (3): 1472-1483.
[10] .Wang Q, Duan Z, Lv Y, Wang Q and Chen G, Distributed model predictive control for linear quadratic performance and consensus state optimization of multi-agent systems , IEEE Transactions on Cybernetics, 2021, 51(6): 2905-2915.

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