Adaptive Distributed Control for Large-Scale Systems with Unknown Interconnection

This paper presents a distributed adaptive control law for large-scale systems with unknown interconnection parameters. An adaptive control law is designed to follow-up a model reference for a network through a controller that adjusts its parameters according to the dynamics of the reference, the neighborhood and the physical interconnection. This work presents a Model Reference Adaptive Control methodology for heterogeneous systems, such that the synchronization of the agents in the network is achieved even in the case where the interconnection is unknown. Stability properties of the proposed control law are validated via Lyapunov methods and boundedness of the synchronization errors is guaranteed. The authors propose a validation scheme of adaptive control for different references in a context of level control in tank networks and a synchronization analysis of the estimated constants. Copyright (C) 2020 The Authors.