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Mechanism study of vehicle‐bridge dynamic interaction under earthquake ground motion
Mechanism study of vehicle‐bridge dynamic interaction under earthquake ground motion
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Mechanism study of vehicle‐bridge dynamic interaction under earthquake ground motion

Cui, Cunyu ; Xu, Yan

Earthquake engineering & structural dynamics, 2021-06, Vol.50 (7), p.1931-1947 [Periódico revisado por pares]

Bognor Regis: Wiley Subscription Services, Inc

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Switched adaptation strategies for integral sliding mode control: Theory and application
Switched adaptation strategies for integral sliding mode control: Theory and application
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Switched adaptation strategies for integral sliding mode control: Theory and application

Incremona, Gian Paolo ; Strada, Silvia Carla ; Tanelli, Mara ; Ferrara, Antonella

International journal of robust and nonlinear control, 2019-11, Vol.29 (17), p.6064-6080 [Periódico revisado por pares]

Bognor Regis: Wiley Subscription Services, Inc

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3
Three-dimensional finite element modeling of tire/ground interaction
Three-dimensional finite element modeling of tire/ground interaction
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Three-dimensional finite element modeling of tire/ground interaction

Xia, Kaiming ; Yang, Yunming

International journal for numerical and analytical methods in geomechanics, 2012-03, Vol.36 (4), p.498-516 [Periódico revisado por pares]

Chichester, UK: John Wiley & Sons, Ltd

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4
Dynamic responses of a poroelastic half-space from moving trains caused by vertical track irregularities
Dynamic responses of a poroelastic half-space from moving trains caused by vertical track irregularities
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Dynamic responses of a poroelastic half-space from moving trains caused by vertical track irregularities

Cao, Z. G. ; Cai, Y. Q. ; Sun, H. L. ; Xu, C. J.

International journal for numerical and analytical methods in geomechanics, 2011-05, Vol.35 (7), p.761-786 [Periódico revisado por pares]

Chichester, UK: John Wiley & Sons, Ltd

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5
Autonomous platooning of multiple ground vehicles in rough terrain
Autonomous platooning of multiple ground vehicles in rough terrain
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Autonomous platooning of multiple ground vehicles in rough terrain

Shin, Jongho ; Kwak, Dong Jun ; Kim, Jun

Journal of field robotics, 2021-03, Vol.38 (2), p.229-241 [Periódico revisado por pares]

Hoboken: Wiley Subscription Services, Inc

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A reinforcement learning‐based approach for modeling and coverage of an unknown field using a team of autonomous ground vehicles
A reinforcement learning‐based approach for modeling and coverage of an unknown field using a team of autonomous ground vehicles
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A reinforcement learning‐based approach for modeling and coverage of an unknown field using a team of autonomous ground vehicles

Faryadi, Saba ; Mohammadpour Velni, Javad

International journal of intelligent systems, 2021-02, Vol.36 (2), p.1069-1084 [Periódico revisado por pares]

New York: Hindawi Limited

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7
Combining virtual simulation and physical vehicle test data to optimize durability testing
Combining virtual simulation and physical vehicle test data to optimize durability testing
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Combining virtual simulation and physical vehicle test data to optimize durability testing

FERRY, W. B. ; FRISE, P. R. ; ANDREWS, G. T. ; MALIK, M. A.

Fatigue & fracture of engineering materials & structures, 2002-12, Vol.25 (12), p.1127-1134 [Periódico revisado por pares]

Oxford, UK: Blackwell Science Ltd

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8
Comparing real and simulated performance for an off‐road autonomous ground vehicle in obstacle avoidance
Comparing real and simulated performance for an off‐road autonomous ground vehicle in obstacle avoidance
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Comparing real and simulated performance for an off‐road autonomous ground vehicle in obstacle avoidance

Carruth, Daniel W. ; Goodin, Christopher ; Dabbiru, Lalitha ; Scherrer, Nicklaus ; Moore, Marc N. ; Hudson, Christopher H. ; Cagle, Lucas D. ; Jayakumar, Paramsothy

Journal of field robotics, 2024-05, Vol.41 (3), p.798-810 [Periódico revisado por pares]

Hoboken: Wiley Subscription Services, Inc

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9
Continuous‐time receding‐horizon reinforcement learning and its application to path‐tracking control of autonomous ground vehicles
Continuous‐time receding‐horizon reinforcement learning and its application to path‐tracking control of autonomous ground vehicles
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Continuous‐time receding‐horizon reinforcement learning and its application to path‐tracking control of autonomous ground vehicles

Lu, Yang ; Li, Wenzhang ; Zhang, Xinglong ; Xu, Xin

Optimal control applications & methods, 2023-05, Vol.44 (3), p.1129-1147 [Periódico revisado por pares]

Glasgow: Wiley Subscription Services, Inc

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10
Detecting elusive aspects of wildlife ecology using drones: New insights on the mating dynamics and operational sex ratios of sea turtles
Detecting elusive aspects of wildlife ecology using drones: New insights on the mating dynamics and operational sex ratios of sea turtles
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Detecting elusive aspects of wildlife ecology using drones: New insights on the mating dynamics and operational sex ratios of sea turtles

Schofield, Gail ; Katselidis, Kostas A. ; Lilley, Martin K. S. ; Reina, Richard D. ; Hays, Graeme C. Gremillet, David

Functional ecology, 2017-12, Vol.31 (12), p.2310-2319 [Periódico revisado por pares]

London: Wiley

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