In this paper, a new robust distributed model predictive control (RDMPC) is proposed for
large-scale systems with polytopic uncertainties. The time-varying system is first
decomposed into several interconnected subsystems. Interactions between subsystems are
obtained by a distributed Kalman filter, in which unknown parameters of the system are
estimated using local measurements and measurements of neighboring subsystems that are
available via a network. Quadratic boundedness is used to guarantee the stability of the …