Wuquan Li
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Wuquan Li has a total of 64 co-authors. Here are the top co-authors by number of shared publications:
- Miroslav Krstic
University of California, San Diego
12 shared publications - Hui Wang
School of Mathematics and Statistics Science, Ludong University, Yantai, China
9 shared publications Hui Wang
8 shared publicationsJianzhong Gu
7 shared publicationsHongyong Yang
5 shared publications- Gang Feng
City University of Hong Kong
4 shared publications
Latest Publications
- 22 October 2026
- Published by Taylor & Francis in Ships and Offshore Structures
- p. 1-13
Time-domain mapping-based prescribed-time formation control for the heterogeneous unmanned surface vehicles with collision-free
1. USV has emerged as the crucial tools for ocean exploration and research, due to its intelligence, miniaturization and lightweight design. Naderolasli (2021) proposes a developed self-tuning adap...
- 22 October 2026
- Published by Taylor & Francis in Ships and Offshore Structures
- p. 1-13
Time-domain mapping-based prescribed-time formation control for the heterogeneous unmanned surface vehicles with collision-free
1. USV has emerged as the crucial tools for ocean exploration and research, due to its intelligence, miniaturization and lightweight design. Naderolasli (2021) proposes a developed self-tuning adap...
- 1 October 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Systems, Man, and Cybernetics: Systems
- Vol. 56 (10) , 5582-5594
Composite Fault-Tolerant Control of Interconnected Systems Subject to Heterogeneous Time-Varying Faults and Stochastic FDI Attacks
- 1 October 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Systems, Man, and Cybernetics: Systems
- Vol. 56 (10) , 5582-5594
Composite Fault-Tolerant Control of Interconnected Systems Subject to Heterogeneous Time-Varying Faults and Stochastic FDI Attacks
- 20 August 2026
- Published by Springer Nature in Nonlinear Dynamics
- Vol. 114 (16) , 1065
Resilient event-triggered control for bipartite synchronization of memristive coopetition neural networks with DoS attacks
- 20 August 2026
- Published by Springer Nature in Nonlinear Dynamics
- Vol. 114 (16) , 1065
Resilient event-triggered control for bipartite synchronization of memristive coopetition neural networks with DoS attacks
- 12 February 2026
- Published by Elsevier in Chaos, Solitons & Fractals
- Vol. 207
Securing bipartite synchronization of neural networks under multi-rate sampling and switching topologies
- 12 February 2026
- Published by Elsevier in Chaos, Solitons & Fractals
- Vol. 207
Securing bipartite synchronization of neural networks under multi-rate sampling and switching topologies
- 9 February 2026
- Published by Elsevier in Applied Mathematics and Computation
- Vol. 522
Distributed tracking of high-order nonlinear multi-agent systems perturbed by second-order moment processes
- 9 February 2026
- Published by Elsevier in Applied Mathematics and Computation
- Vol. 522
Distributed tracking of high-order nonlinear multi-agent systems perturbed by second-order moment processes
- 9 October 2025
- Published by Elsevier in Ocean Engineering
- Vol. 342
Prescribed-time quantized formation control for the unmanned surface vehicles with time-domain mapping
- 9 October 2025
- Published by Elsevier in Ocean Engineering
- Vol. 342
Prescribed-time quantized formation control for the unmanned surface vehicles with time-domain mapping
- 1 October 2025
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Systems, Man, and Cybernetics: Systems
- Vol. 55 (12) , 8985-8996
Distributed Adaptive Containment Control of Stochastic Nonlinear Multiagent Systems
A novel distributed adaptive containment tracking control method is proposed for stochastic multiagent systems (MASs). Unlike existing results, we consider a more general system with both multiple dynamic leaders and unknown covariance. The control input of each agent system depends only on the states of its neighbors and its local states. When dealing with unknown time-varying covariance, we do not need to know its bound but use a proper estimation. Then, by using the backstepping design method, an adaptive law and a distributed adaptive tracking controller are designed. Using stochastic analysis and graph theory, it is proved that the outputs of the followers converge exponentially to the convex hull spanned by the outputs of the dynamic leaders under the condition that all signals of the closed-loop system remain bounded in probability and the tracking error is tunable. Finally, we illustrate the feasibility of the design scheme through numerical simulation.
- 1 October 2025
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Systems, Man, and Cybernetics: Systems
- Vol. 55 (12) , 8985-8996
Distributed Adaptive Containment Control of Stochastic Nonlinear Multiagent Systems
A novel distributed adaptive containment tracking control method is proposed for stochastic multiagent systems (MASs). Unlike existing results, we consider a more general system with both multiple dynamic leaders and unknown covariance. The control input of each agent system depends only on the states of its neighbors and its local states. When dealing with unknown time-varying covariance, we do not need to know its bound but use a proper estimation. Then, by using the backstepping design method, an adaptive law and a distributed adaptive tracking controller are designed. Using stochastic analysis and graph theory, it is proved that the outputs of the followers converge exponentially to the convex hull spanned by the outputs of the dynamic leaders under the condition that all signals of the closed-loop system remain bounded in probability and the tracking error is tunable. Finally, we illustrate the feasibility of the design scheme through numerical simulation.