Leader-following consensus of parameter-dependent networks via distributed gain-scheduling control
Chengzhi Yuan · International Journal of Systems Science · 2017
This paper addresses the problem of leader-following consensus control of multi-agent systems subject to time-varying parameters and local, external disturbances. The agent dynamics are considered to be heterogeneous and represented in the form of parameter-dependent linear fractional transformation (LFT). A novel distributed gain-scheduling control protocol is proposed, which consists of a distributed observer and a gain-scheduling LFT output-feedback controller. No plant state/output information but the local observer's estimation state is required to share among neighbouring agents. Under this new distributed control scheme, the overall network consensus with optimal H∞ disturbance attenuation performance can be achieved effectively by solving a set of independent convex optimisation problems. Simulation studies on synchronisation of multiple electrical circuit systems have been conducted to demonstrate the proposed approach.