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1
Takagi-Sugeno Fuzzy Unknown Input Observers to Estimate Nonlinear Dynamics of Autonomous Ground Vehicles: Theory and Real-Time Verification
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Artigo
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Takagi-Sugeno Fuzzy Unknown Input Observers to Estimate Nonlinear Dynamics of Autonomous Ground Vehicles: Theory and Real-Time Verification

Nguyen, Anh-Tu ; Dinh, Truong Quang ; Guerra, Thierry-Marie ; Pan, Juntao

IEEE/ASME transactions on mechatronics, 2021-06, Vol.26 (3), p.1328-1338 [Periódico revisado por pares]

New York: IEEE

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2
Unmanned ground vehicle: controls and dynamics
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Ata de Congresso
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Unmanned ground vehicle: controls and dynamics

Attarwala, Ebrahim ; Maheshwari, Pranav ; Keshav, Kumar ; Jain, Pranjal ; Gupta, Arpit ; Gupta, Kriti ; Yadav, Ravi Röning, Juha ; Casasent, David

SPIE 2013

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3
Virtual Sensor: Simultaneous State and Input Estimation for Nonlinear Interconnected Ground Vehicle System Dynamics
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Artigo
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Virtual Sensor: Simultaneous State and Input Estimation for Nonlinear Interconnected Ground Vehicle System Dynamics

Sentouh, Chouki ; Fouka, Majda ; Popieul, Jean-Christophe

Sensors (Basel, Switzerland), 2023-04, Vol.23 (9), p.4236 [Periódico revisado por pares]

Switzerland: MDPI AG

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4
A Gyroless Attitude Estimation for Ground Vehicle Under Severe Dynamic Conditions
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Artigo
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A Gyroless Attitude Estimation for Ground Vehicle Under Severe Dynamic Conditions

Javed, Muhammad Azeem ; Tahir, Muhammad

IEEE transactions on intelligent transportation systems, 2022-08, Vol.23 (8), p.13538-13548 [Periódico revisado por pares]

IEEE

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5
Path Tracking of an Autonomous Ground Vehicle With Different Payloads by Hierarchical Improved Fuzzy Dynamic Sliding-Mode Control
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Artigo
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Path Tracking of an Autonomous Ground Vehicle With Different Payloads by Hierarchical Improved Fuzzy Dynamic Sliding-Mode Control

Hwang, Chih-Lyang ; Yang, Chang-Chia ; Hung, John Y.

IEEE transactions on fuzzy systems, 2018-04, Vol.26 (2), p.899-914 [Periódico revisado por pares]

IEEE

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6
Design and implementation of proximal planning and control of an unmanned ground vehicle to operate in dynamic environments
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Artigo
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Design and implementation of proximal planning and control of an unmanned ground vehicle to operate in dynamic environments

Khan, Subhan ; Guivant, Jose

IEEE transactions on intelligent vehicles, 2023-02, Vol.8 (2), p.1-13 [Periódico revisado por pares]

Piscataway: IEEE

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7
Human-Like Wall-Climbing Planning for Heavy Unmanned Ground Vehicles Using Driver Model and Dynamic Motion Primitives
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Artigo
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Human-Like Wall-Climbing Planning for Heavy Unmanned Ground Vehicles Using Driver Model and Dynamic Motion Primitives

Liu, Qingxiao ; Liu, Haiou ; Lu, Chao ; Shen, Jiayu ; Chen, Huiyan

IEEE/ASME transactions on mechatronics, 2024-04, Vol.29 (2), p.1579-1590 [Periódico revisado por pares]

New York: IEEE

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8
A Dynamic Motion Analysis of a Six-Wheel Ground Vehicle for Emergency Intervention Actions
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Artigo
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A Dynamic Motion Analysis of a Six-Wheel Ground Vehicle for Emergency Intervention Actions

Grigore, Lucian Ștefăniță ; Gorgoteanu, Damian ; Molder, Cristian ; Alexa, Octavian ; Oncioiu, Ionica ; Ștefan, Amado ; Constantin, Daniel ; Lupoae, Marin ; Bălașa, Răzvan-Ionuț

Sensors (Basel, Switzerland), 2021-02, Vol.21 (5), p.1618 [Periódico revisado por pares]

Switzerland: MDPI

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9
Cost-Aware Dynamic SFC Mapping and Scheduling in SDN/NFV-Enabled Space-Air-Ground-Integrated Networks for Internet of Vehicles
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Artigo
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Cost-Aware Dynamic SFC Mapping and Scheduling in SDN/NFV-Enabled Space-Air-Ground-Integrated Networks for Internet of Vehicles

Li, Junling ; Shi, Weisen ; Wu, Huaqing ; Zhang, Shan ; Shen, Xuemin

IEEE internet of things journal, 2022-04, Vol.9 (8), p.5824-5838

Piscataway: IEEE

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10
Event-Triggered Model Predictive Adaptive Dynamic Programming for Road Intersection Path Planning of Unmanned Ground Vehicle
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Artigo
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Event-Triggered Model Predictive Adaptive Dynamic Programming for Road Intersection Path Planning of Unmanned Ground Vehicle

Hu, Chaofang ; Zhao, Lingxue ; Qu, Ge

IEEE transactions on vehicular technology, 2021-11, Vol.70 (11), p.11228-11243 [Periódico revisado por pares]

New York: IEEE

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