Predictor Design and Delay Robustness Analysis for LTI Systems with State and Input Delays: A Fully Actuated System Approach

We investigate the stabilization of an LTI system with both state and input delays through a novel fully actuated system (FAS) approach. By transforming the original system into a fully actuated model, we propose an FAS-based pseudo predictor scheme that leverages the user-specified constant closed loop for the state prediction, combined with a gradient-driven optimization strategy for the parameter tuning. Furthermore, we conduct a frequency-domain delay robustness analysis to non-conservatively delineate stability regions, thereby ensuring the validity of the tuned predictor under delay perturbations. An example is provided to demonstrate our proposed theories.

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Publication Details

Published
2025-07-04
DOI
https://doi.org/10.1109/fasta65681.2025.11139035
Primary Topic
Stability and Control of Uncertain Systems
Type
article
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article

Predictor Design and Delay Robustness Analysis for LTI Systems with State and Input Delays: A Fully Actuated System Approach

Guang‐Ren Duan, Xujie Zhang
Stability and Control of Uncertain Systems
article

Predictor Design and Delay Robustness Analysis for LTI Systems with State and Input Delays: A Fully Actuated System Approach

Guang‐Ren Duan, Xujie Zhang
article en

Abstract

We investigate the stabilization of an LTI system with both state and input delays through a novel fully actuated system (FAS) approach. By transforming the original system into a fully actuated model, we propose an FAS-based pseudo predictor scheme that leverages the user-specified constant closed loop for the state prediction, combined with a gradient-driven optimization strategy for the parameter tuning. Furthermore, we conduct a frequency-domain delay robustness analysis to non-conservatively delineate stability regions, thereby ensuring the validity of the tuned predictor under delay perturbations. An example is provided to demonstrate our proposed theories.

Southern University of Science and Technology (CN)
Openalex Percentile: Top 70%
Stability and Control of Uncertain Systems
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