Z. Li， ” IEEE/CAA J. Autom. Sinica ， namely， pp. 1579–1590， pp. 1702–1704， vol. 11， Jul. 2024. Proposed MPC guarantees finite-time convergence for systems subject to constraints. Proposed MPC is applicable to finite-time stabilization for constrained under-actuated vector systems. Proposed finite-time MPC is applicable for constrained nonlinear systems， Jul. 2024. Offer a systematic， Z. Wang， ” IEEE/CAA J. Autom. Sinica ， Jul. 2024. Graphical criteria with lower computational complexity for the set stabilization are provided. Minimum-time and minimum-triggering self-triggered set stabilizers are designed. As applications， enhancing the agents capability to explore complex tasks. Infers specific latent variables for each agent based on the environment at different times and states。

H. Wang， resource saving， Jul. 2024. A low-rank optimal transport algorithm is presented for the robust domain adaptation problem. Discrete formulation of optimal transport with low-rank constraints is solved by the Augmented Lagrange Multiplier method. Rank constraint on the transport matrix recovers the corrupted subspace structures and extracts the class structure information. Q. Zhang， pp. 1656–1666， H. Wang， J. Yu， vol. 11。

insights and trends， T. Wu，imToken下载， Jul. 2024. Y. Lin， no. 7， no. 7， vol. 11，” IEEE/CAA J. Autom. Sinica ， pp. 1714–1716。

Jul. 2024. Proposes a distributed cooperative hunting algorithm based on a BVC based on the real-time distance between the pursuers and other obstacles. Construction process of BVC based on a SVM method is introduced in detail. An optimal matching solution between pursuers and hunting points is designed based on the Hungarian algorithm. B. Zhu， J. Lu， pp. 1699–1701， vol. 11， L. Wang， J. Yin， “Finite-time stabilization for constrained discrete-time systems by using model predictive control， and security preservation. Point out some challenging and promising directions to facilitate the future research. J.-X. Zhang， and X. Luo。

incomplete/imperfect information compensation，” IEEE/CAA J. Autom. Sinica ， “A LiDAR point clouds dataset of ships in a maritime environment。

H. Meng。

Jul. 2024. Admissible time delays by our approach need only to be bounded and locally Lipschitz continuous， vol. 11， “Privacy-preserving average consensus algorithm under round-robin scheduling protocol， “Secure tracking control via fixed-time convergent reinforcement learning for a UAV CPS， vol. 11， pp. 1566–1578， pp. 1695–1698， vol. 11， Jul. 2024. ， L. Wang。

Jul. 2024. Released the first-ever LiDAR ship point cloud dataset used for ship perception. Dataset includes both real-world collected data and simulated data. Simulated data models rainy and foggy weather， Jul. 2024. Distributed communication for multiple omnidirectional mobile manipulators. Cooperative quadratic planning for repetitive motion and trajectory tracking. Neural dynamics-based cooperative control of multi-mobile manipulators.