Decentralized L1 adaptive control for large-scale systems with unknown time-varying interaction parameters

This paper presents the decentralized L₁ adaptive controller for a class of large-scale systems with unknown time-varying interaction parameters. The design of decentralized L₁ adaptive controller uses the states from decentralized identifiers. The L₁ adaptive controller for each subsystem ensures uniformly bounded transient and asymptotic tracking for subsystem´s input and output, simultaneously. The performance bounds between the closed-loop adaptive system and the closed-loop large-scale reference system can be systematically reduced by increasing the adaptation rate. Simulation results are provided to validate the effectiveness of the proposed control scheme.