The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문에서는 불확실한 시간 지연 시스템 클래스를 안정화하기 위한 이론적 개발을 제시합니다. 고려 중인 시스템은 분산 지연, 불확실한 매개변수 및 교란을 포함하는 상태 공간 모델로 설명됩니다. 주요 아이디어는 시스템 상태를 동등한 상태로 변환하여 동작과 안정성을 더 쉽게 분석하는 것입니다. 그런 다음 강건한 제어기 설계의 계산 방법을 두 부분으로 제시합니다. 첫 번째 부분은 최적 제어 이론에서 발생하는 Riccati 방정식의 해결을 기반으로 합니다. 두 번째 부분에서는 불확실성에 대처하기 위해 유한차원 Lyapunov 최소-최대 접근법이 사용됩니다. 마지막으로, 결과 제어 법칙이 전체 시스템의 점근적 안정성을 어떻게 보장하는지 보여줍니다.
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부
Suthee PHOOJARUENCHANACHAI, Kamol UAHCHINKUL, Jongkol NGAMWIWIT, Yothin PREMPRANEERACH, "Robust Stabilization of Uncertain Linear System with Distributed State Delay" in IEICE TRANSACTIONS on Fundamentals,
vol. E82-A, no. 9, pp. 1911-1918, September 1999, doi: .
Abstract: In this paper, we present the theoretical development to stabilize a class of uncertain time-delay system. The system under consideration is described in state space model containing distributed delay, uncertain parameters and disturbance. The main idea is to transform the system state into an equivalent one, which is easier to analyze its behavior and stability. Then, a computational method of robust controller design is presented in two parts. The first part is based on solving a Riccati equation arising in the optimal control theory. In the second part, the finite dimensional Lyapunov min-max approach is employed to cope with the uncertainties. Finally, we show how the resulting control law ensures asymptotic stability of the overall system.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e82-a_9_1911/_p
부
@ARTICLE{e82-a_9_1911,
author={Suthee PHOOJARUENCHANACHAI, Kamol UAHCHINKUL, Jongkol NGAMWIWIT, Yothin PREMPRANEERACH, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Robust Stabilization of Uncertain Linear System with Distributed State Delay},
year={1999},
volume={E82-A},
number={9},
pages={1911-1918},
abstract={In this paper, we present the theoretical development to stabilize a class of uncertain time-delay system. The system under consideration is described in state space model containing distributed delay, uncertain parameters and disturbance. The main idea is to transform the system state into an equivalent one, which is easier to analyze its behavior and stability. Then, a computational method of robust controller design is presented in two parts. The first part is based on solving a Riccati equation arising in the optimal control theory. In the second part, the finite dimensional Lyapunov min-max approach is employed to cope with the uncertainties. Finally, we show how the resulting control law ensures asymptotic stability of the overall system.},
keywords={},
doi={},
ISSN={},
month={September},}
부
TY - JOUR
TI - Robust Stabilization of Uncertain Linear System with Distributed State Delay
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1911
EP - 1918
AU - Suthee PHOOJARUENCHANACHAI
AU - Kamol UAHCHINKUL
AU - Jongkol NGAMWIWIT
AU - Yothin PREMPRANEERACH
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E82-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 1999
AB - In this paper, we present the theoretical development to stabilize a class of uncertain time-delay system. The system under consideration is described in state space model containing distributed delay, uncertain parameters and disturbance. The main idea is to transform the system state into an equivalent one, which is easier to analyze its behavior and stability. Then, a computational method of robust controller design is presented in two parts. The first part is based on solving a Riccati equation arising in the optimal control theory. In the second part, the finite dimensional Lyapunov min-max approach is employed to cope with the uncertainties. Finally, we show how the resulting control law ensures asymptotic stability of the overall system.
ER -