Adaptive Integral Action-Based Sliding Mode Output Trajectory Regulation in Large-Scale Systems With Unmodeled Coupling Topologies

This work investigates a class of large-scale interconnected systems subject to matched perturbations and unknown interconnections. To examine the asymptotic stability of tracking error dynamics, an integral action state is embedded to form an augmented system. Within the sliding mode methodology, a decentralized self-tuning control strategy is developed to address the trajectory tracking problem in large-scale interconnected systems, where coupling dynamics are estimated through parameter adaptation mechanisms. The closed-loop trajectories are guaranteed to asymptotically converge toward desired signals under the proposed regulation strategy. Comprehensive computational case studies validate the theoretical propositions and controller performance.