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
우리는 컨트롤러(CL), 제어 대상(CO) 및 기타 장치가 무선 네트워크를 통해 연결되는 무선 네트워크 제어 시스템(WNCS)을 연구합니다. WNCS에서는 무선 네트워크의 폭증적인 패킷 손실과 무작위 지연으로 인해 CO가 불안정해질 수 있습니다. 이러한 네트워크로 인한 영향을 줄이기 위해 우리는 다음을 활용합니다. 패킷화된 예측 제어 (PPC) 방식은 버스티한 패킷 손실을 보상하기 위한 미래 제어 벡터를 수신 수평 방식으로 생성하여 패킷으로 묶어 CO 단위로 전송하는 방식입니다. 본 논문에서는 무작위 지연과 버스티 패킷 손실을 보상하기 위해 PPC 방법을 확장합니다. 확장된 PPC 방법에서는 많은 제어 벡터를 생성하면 두 가지 문제에 대한 견고성이 향상되는 동시에 무선 네트워크의 트래픽이 증가합니다. 따라서 우리는 단일 패킷 전송의 제약 하에서 강인성을 효과적으로 향상시키기 위해 제어 벡터 선택을 고려합니다. 먼저 CO가 수신한 제어 벡터의 입력 전략을 재고하고 해당 전략에 적합한 제어 벡터 선택 방식을 제안합니다. 우리의 선택 방식에서는 왕복 지연의 추정된 평균과 분산을 기반으로 제어 벡터가 선택됩니다. 또한, 상태 추정을 위한 정보가 부족하여 CL이 CO의 상태를 잘못 인식할 수 있는 문제를 해결합니다. 시뮬레이션 결과는 우리의 선택 방식이 CO 상태의 2-norm 측면에서 버스티 패킷 손실과 지연 모두에 대해 더 높은 견고성을 달성한다는 것을 보여줍니다.
Keisuke NAKASHIMA
Graduate School of Engineering, Osaka University
Takahiro MATSUDA
Tokyo Metropolitan University
Masaaki NAGAHARA
The University of Kitakyushu
Tetsuya TAKINE
Graduate School of Engineering, Osaka University
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부
Keisuke NAKASHIMA, Takahiro MATSUDA, Masaaki NAGAHARA, Tetsuya TAKINE, "Control Vector Selection for Extended Packetized Predictive Control in Wireless Networked Control Systems" in IEICE TRANSACTIONS on Communications,
vol. E103-B, no. 7, pp. 748-758, July 2020, doi: 10.1587/transcom.2019EBP3209.
Abstract: We study wireless networked control systems (WNCSs), where controllers (CLs), controlled objects (COs), and other devices are connected through wireless networks. In WNCSs, COs can become unstable due to bursty packet losses and random delays on wireless networks. To reduce these network-induced effects, we utilize the packetized predictive control (PPC) method, where future control vectors to compensate bursty packet losses are generated in the receiving horizon manner, and they are packed into packets and transferred to a CO unit. In this paper, we extend the PPC method so as to compensate random delays as well as bursty packet losses. In the extended PPC method, generating many control vectors improves the robustness against both problems while it increases traffic on wireless networks. Therefore, we consider control vector selection to improve the robustness effectively under the constraint of single packet transmission. We first reconsider the input strategy of control vectors received by COs and propose a control vector selection scheme suitable for the strategy. In our selection scheme, control vectors are selected based on the estimated average and variance of round-trip delays. Moreover, we solve the problem that the CL may misconceive the CO's state due to insufficient information for state estimation. Simulation results show that our selection scheme achieves the higher robustness against both bursty packet losses and delays in terms of the 2-norm of the CO's state.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2019EBP3209/_p
부
@ARTICLE{e103-b_7_748,
author={Keisuke NAKASHIMA, Takahiro MATSUDA, Masaaki NAGAHARA, Tetsuya TAKINE, },
journal={IEICE TRANSACTIONS on Communications},
title={Control Vector Selection for Extended Packetized Predictive Control in Wireless Networked Control Systems},
year={2020},
volume={E103-B},
number={7},
pages={748-758},
abstract={We study wireless networked control systems (WNCSs), where controllers (CLs), controlled objects (COs), and other devices are connected through wireless networks. In WNCSs, COs can become unstable due to bursty packet losses and random delays on wireless networks. To reduce these network-induced effects, we utilize the packetized predictive control (PPC) method, where future control vectors to compensate bursty packet losses are generated in the receiving horizon manner, and they are packed into packets and transferred to a CO unit. In this paper, we extend the PPC method so as to compensate random delays as well as bursty packet losses. In the extended PPC method, generating many control vectors improves the robustness against both problems while it increases traffic on wireless networks. Therefore, we consider control vector selection to improve the robustness effectively under the constraint of single packet transmission. We first reconsider the input strategy of control vectors received by COs and propose a control vector selection scheme suitable for the strategy. In our selection scheme, control vectors are selected based on the estimated average and variance of round-trip delays. Moreover, we solve the problem that the CL may misconceive the CO's state due to insufficient information for state estimation. Simulation results show that our selection scheme achieves the higher robustness against both bursty packet losses and delays in terms of the 2-norm of the CO's state.},
keywords={},
doi={10.1587/transcom.2019EBP3209},
ISSN={1745-1345},
month={July},}
부
TY - JOUR
TI - Control Vector Selection for Extended Packetized Predictive Control in Wireless Networked Control Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 748
EP - 758
AU - Keisuke NAKASHIMA
AU - Takahiro MATSUDA
AU - Masaaki NAGAHARA
AU - Tetsuya TAKINE
PY - 2020
DO - 10.1587/transcom.2019EBP3209
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E103-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2020
AB - We study wireless networked control systems (WNCSs), where controllers (CLs), controlled objects (COs), and other devices are connected through wireless networks. In WNCSs, COs can become unstable due to bursty packet losses and random delays on wireless networks. To reduce these network-induced effects, we utilize the packetized predictive control (PPC) method, where future control vectors to compensate bursty packet losses are generated in the receiving horizon manner, and they are packed into packets and transferred to a CO unit. In this paper, we extend the PPC method so as to compensate random delays as well as bursty packet losses. In the extended PPC method, generating many control vectors improves the robustness against both problems while it increases traffic on wireless networks. Therefore, we consider control vector selection to improve the robustness effectively under the constraint of single packet transmission. We first reconsider the input strategy of control vectors received by COs and propose a control vector selection scheme suitable for the strategy. In our selection scheme, control vectors are selected based on the estimated average and variance of round-trip delays. Moreover, we solve the problem that the CL may misconceive the CO's state due to insufficient information for state estimation. Simulation results show that our selection scheme achieves the higher robustness against both bursty packet losses and delays in terms of the 2-norm of the CO's state.
ER -