Inverse LQR Construction With Retarded State Predictive Control for Systems With Time‐Delay in Input and State

ABSTRACT In this paper, a method to design an inverse LQR with a retarded state predictor for systems with time‐delay in state and input is proposed. A feedback law is constructed by using the predictor which has a same state time‐delay as the one in the systems. It is shown that the resulting closed‐loop system is asymptotically stable and the proposed feedback law is an optimal control that minimizes a quadratic cost functional. Furthermore, we show that the constructed regulator has good robustness as same as an ordinary finite‐dimensional LQR. Finally, numerical examples are given to evaluate the effectivity of the proposed method.

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Publication Details

Journal
Electronics and Communications in Japan
Published
2025-12-08
DOI
https://doi.org/10.1002/ecj.70008
Primary Topic
Stability and Control of Uncertain Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Inverse LQR Construction With Retarded State Predictive Control for Systems With Time‐Delay in Input and State

Shunya Nagai, Hidetoshi Oya, Tsuyoshi Matsuki, Shoya Kouno
Electronics and Communications in Japan
Stability and Control of Uncertain Systems
article

Inverse LQR Construction With Retarded State Predictive Control for Systems With Time‐Delay in Input and State

Shunya Nagai, Hidetoshi Oya, Tsuyoshi Matsuki, Shoya Kouno
article en

Abstract

ABSTRACT In this paper, a method to design an inverse LQR with a retarded state predictor for systems with time‐delay in state and input is proposed. A feedback law is constructed by using the predictor which has a same state time‐delay as the one in the systems. It is shown that the resulting closed‐loop system is asymptotically stable and the proposed feedback law is an optimal control that minimizes a quadratic cost functional. Furthermore, we show that the constructed regulator has good robustness as same as an ordinary finite‐dimensional LQR. Finally, numerical examples are given to evaluate the effectivity of the proposed method.

Electronics and Communications in JapanVol. 109(1)
National Institute of Technology, Niihama College (JP), Tokyo City University (JP)
Openalex Percentile: Top 52%
Stability and Control of Uncertain Systems
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