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This paper proposes a switched pinning control method with a multi-rating mechanism for vehicle platoons. The platoons are expressed as multi-agent systems consisting of mass-damper systems in which pinning agents receive target velocities from external devices (ex. intelligent traffic signals). We construct model predictive control (MPC) algorithm that switches pinning agents via mixed-integer quadratic programmings (MIQP) problems. The optimization rate is determined according to the convergence rate to the target velocities and the inter-vehicular distances. This multi-rating mechanism can reduce the computational load caused by iterative calculation. Numerical results demonstrate that our method has a reduction effect on the string instability by selecting the pinning agents to minimize errors of the inter-vehicular distances to the target distances.
Takuma WAKASA
The University of Electro-Communications
Kenji SAWADA
The University of Electro-Communications
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Takuma WAKASA, Kenji SAWADA, "Multi-Rate Switched Pinning Control for Velocity Control of Vehicle Platoons" in IEICE TRANSACTIONS on Fundamentals,
vol. E104-A, no. 11, pp. 1461-1469, November 2021, doi: 10.1587/transfun.2020KEP0009.
Abstract: This paper proposes a switched pinning control method with a multi-rating mechanism for vehicle platoons. The platoons are expressed as multi-agent systems consisting of mass-damper systems in which pinning agents receive target velocities from external devices (ex. intelligent traffic signals). We construct model predictive control (MPC) algorithm that switches pinning agents via mixed-integer quadratic programmings (MIQP) problems. The optimization rate is determined according to the convergence rate to the target velocities and the inter-vehicular distances. This multi-rating mechanism can reduce the computational load caused by iterative calculation. Numerical results demonstrate that our method has a reduction effect on the string instability by selecting the pinning agents to minimize errors of the inter-vehicular distances to the target distances.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2020KEP0009/_p
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@ARTICLE{e104-a_11_1461,
author={Takuma WAKASA, Kenji SAWADA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Multi-Rate Switched Pinning Control for Velocity Control of Vehicle Platoons},
year={2021},
volume={E104-A},
number={11},
pages={1461-1469},
abstract={This paper proposes a switched pinning control method with a multi-rating mechanism for vehicle platoons. The platoons are expressed as multi-agent systems consisting of mass-damper systems in which pinning agents receive target velocities from external devices (ex. intelligent traffic signals). We construct model predictive control (MPC) algorithm that switches pinning agents via mixed-integer quadratic programmings (MIQP) problems. The optimization rate is determined according to the convergence rate to the target velocities and the inter-vehicular distances. This multi-rating mechanism can reduce the computational load caused by iterative calculation. Numerical results demonstrate that our method has a reduction effect on the string instability by selecting the pinning agents to minimize errors of the inter-vehicular distances to the target distances.},
keywords={},
doi={10.1587/transfun.2020KEP0009},
ISSN={1745-1337},
month={November},}
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TY - JOUR
TI - Multi-Rate Switched Pinning Control for Velocity Control of Vehicle Platoons
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1461
EP - 1469
AU - Takuma WAKASA
AU - Kenji SAWADA
PY - 2021
DO - 10.1587/transfun.2020KEP0009
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E104-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2021
AB - This paper proposes a switched pinning control method with a multi-rating mechanism for vehicle platoons. The platoons are expressed as multi-agent systems consisting of mass-damper systems in which pinning agents receive target velocities from external devices (ex. intelligent traffic signals). We construct model predictive control (MPC) algorithm that switches pinning agents via mixed-integer quadratic programmings (MIQP) problems. The optimization rate is determined according to the convergence rate to the target velocities and the inter-vehicular distances. This multi-rating mechanism can reduce the computational load caused by iterative calculation. Numerical results demonstrate that our method has a reduction effect on the string instability by selecting the pinning agents to minimize errors of the inter-vehicular distances to the target distances.
ER -