Reduction-Based Robustness Analysis of Linear Predictor Feedback for Distributed Input Delays
Provides theoretical robustness guarantees for a known control method, but the result is incremental and specific to linear systems with distributed delays.
The paper applies Lyapunov-Krasovskii theory to analyze robustness of linear predictor feedback for systems with distributed input delays, proving stability under small parameter and delay mismatches.
Lyapunov-Krasovskii approach is applied to parameter- and delay-robustness analysis of the feedback suggested by Manitius and Olbrot for a linear time-invariant system with distributed input delay. A functional is designed based on Artstein's system reduction technique. It depends on the norms of the reduction-transformed plant state and original actuator state. The functional is used to prove that the feedback is stabilizing when there is a slight mismatch in the system matrices and delay values between the plant and controller.