Skip to main content

and
  1. No Access

    Chapter and Conference Paper

    Safety Assurance in Multi-UAV Formation Tracking Control Amidst Missile Threats

    The safety of multiple unmanned aerial vehicle (multi-UAV) systems threatened by enemy missiles is crucial for their effective formation control. In this paper, a distributed safety control strategy is develop...

    Haoqi Li, Jiang** Hu, Qingrui Zhou in Proceedings of 2023 7th Chinese Conference… (2024)

  2. No Access

    Chapter and Conference Paper

    Secure Implementation of Distributed Control for Multiple Spacecraft Against Malicious Eavesdrop** Attacks

    This paper addresses the secure distributed control problem of spacecraft formation flying systems, which are susceptible to malicious eavesdrop** attacks from hostile adversaries. A novel secure implementat...

    Yongxia Shi, Qinglei Hu, Dong Zhao in Proceedings of 2023 7th Chinese Conference… (2024)

  3. No Access

    Chapter and Conference Paper

    Research on Attack-Defense Game Evolution of Aircraft Swarms Considering Weapon Operational Effectiveness

    Aiming to the problem of attack and defence game between aircraft clusters, an aircraft cluster attack and defence game evolution model is established, and the influence of different weaponry on the decision-m...

    Shiguang Hu, Le Ru, Maolong Lv, **aolin Zhao in Proceedings of 2023 7th Chinese Conference… (2024)

  4. No Access

    Chapter and Conference Paper

    Dynamic Event-Triggered Optimal Consensus Control of Nonlinear Multi-agent Systems with Input Saturation

    This paper addresses the problem of distributed optimal coordination control for nonlinear multi-agent systems with input saturation. An adaptive dynamic programming method is utilized to derive an optimal con...

    Tao Chen, **g Li, Maolong Lv in Proceedings of 2023 7th Chinese Conference… (2024)

  5. No Access

    Chapter and Conference Paper

    Collision-Free Formation Control of Multi-agent System with Low Oscillation

    In recent years, multi-agent systems are becoming more complex, scalable, adaptive, and integrating machine learning for enhanced capabilities. A popular approach for addressing this challenge involves the uti...

    **gyi Li, Haoran Han, Maolong Lv in Proceedings of 2023 7th Chinese Conference… (2024)

  6. No Access

    Chapter and Conference Paper

    Adaptive Neural Control for Pure Feedback Nonlinear Systems with Uncertain Actuator Nonlinearity

    For the pure feedback systems with uncertain actuator nonlinearity and non-differentiable non-affine function, a novel adaptive neural control scheme is proposed. Firstly, the assumption that the non-affine fu...

    Maolong Lv, Ying Wang, Simone Baldi, Zongcheng Liu in Neural Information Processing (2017)