一、报告题目：
非线性多智能体系统的完全分布式最优一致性
二、报 告 人：向峥嵘 教授
四、报告地点：6A301
五、主办单位： 西华大学电气与电子信息学院
六、报告人简介：
向峥嵘，南京理工大学自动化学院教授，博士生导师。1998年12月于南京理工大学控制理论与控制工程专业获得博士学位。现任中国自动化学会委员、中国人工智能学会委员。获得国防科技进步二等奖，主持多项国家自然科学基金、重点研发等项目。担任多个国家及部级项目评审专家和国内外重要Top期刊的审稿人。目前主要从事非线性系统、切换控制系统、多智能体系统等方面的理论及应用研究。
七、报告内容简介：
In this talk, an optimal consensus protocol is proposed for a class of leaderless multi-agent systems. Any global information, including the eigenvalues of the Laplacian matrix, is unavailable in the control scheme development. The reference trajectory is designed for each agent, and the corresponding performance function, which reflects the off-track error evolution and control cost, is proposed. The sufficient condition for the synchronization of reference trajectories, which does not rely on the topology dwell time, is established by constructing an appropriate current topology independent Lyapunov function. Due to the fact that the nonlinear function in the system dynamical equation of each agent is unknown, an equation termed integral reinforcement learning equation is provided, and it is strictly proven that the provided IRL equation is equivalent to the given Hamilton–Jacobi–Bellman equation. The model-free optimal feedback control law is then derived based on the IRL technique. In the implementation of the developed control scheme, the neural network approximation tool is adopted, and the scheme is applied to a numerical system to show its effectiveness.
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