Distributed optimization design based on passivity technique
Yutao Tang, Yiguang Hong, Peng Yi · 2016
In this paper, we study distributed optimization based on passivity techniques. At first, we revisit the concept of passivity respect to non-zero equilibrium point and convert the stabilization problem into another problem that to find a function with relative monotonicity. Then, a passivity-based interpretation is proposed on existing centralized optimization algorithms by adopting a continuous-time dynamic system view. We utilize this passivity technique to solve a resource allocation problem via distribute algorithms. Its effectiveness is verified by a simulation example.