Robust State Agreement of Nonlinear Multi-agent Systems Subject to Measurement Disturbances
Zhanxiu Wang, Tengfei Liu, Zhong‐Ping Jiang · 2018
This paper studies the robust state agreement of nonlinear multi-agent systems in the presence of measurement disturbances. With the switching topology satisfying a mild joint connectivity condition, it is proved that robust state agreement can be achieved if the interaction functions are radially unbounded and satisfy a sector bound condition. If the conditions are not satisfied, a local robust state agreement result is also developed.