Fixed-Time Distributed Optimization Without Matrix Inversion via Zeroing Neural Networks
This paper focuses on the fixed-time distributed optimization problem with time-varying cost functions in multi-agent systems (MASs). For the scenario where all agents share the same Hessian matrix, a control framework for minimizing the global cost function is proposed based on the zero-gradient-sum (ZGS) algorithm. S...