OCSYSYMay 10, 2015

Reduction-Based Robustness Analysis of Linear Predictor Feedback for Distributed Input Delays

arXiv:1505.02402
Originality Synthesis-oriented
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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.

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