2015
DOI: 10.1016/j.ifacol.2015.12.016
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Control of wheeled mobile robots singularly perturbed by using the slipping and skidding variations: curvilinear coordinates approach (Part I)**The authors would like to thank Instituto Federal de Educação, Ciência e Tecnologia da Bahia (IFBA) and Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), all of them of Brazil, for the research grant, financial support and study fellowship.

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Cited by 4 publications
(3 citation statements)
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“…To facilitate the development of practical autonomous wheeled mobile robotic (WMR) systems, it is essential to capture the physical nature of slip violations of the nonholonomic constraints, before losing traction. Previous singularly perturbed methods for WMR systems [8][9][10][11], have paid very little attention to the geometric structure of the underlying mechanical system. For this reason, these approaches result in a complex representation of the slow-fast dynamics and consequently, pose challenges in the approximation of the slip dynamics in practical WMR systems.…”
Section: Motivationmentioning
confidence: 99%
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“…To facilitate the development of practical autonomous wheeled mobile robotic (WMR) systems, it is essential to capture the physical nature of slip violations of the nonholonomic constraints, before losing traction. Previous singularly perturbed methods for WMR systems [8][9][10][11], have paid very little attention to the geometric structure of the underlying mechanical system. For this reason, these approaches result in a complex representation of the slow-fast dynamics and consequently, pose challenges in the approximation of the slip dynamics in practical WMR systems.…”
Section: Motivationmentioning
confidence: 99%
“…Hamerlain et al, construct higher-order sliding-mode controllers to mitigate the sliding effects, first applied to a unicycle [154] and later to a car-like robot [155]. Fernández et al, use SPT to model the dynamics of WMR systems, they design a trajectory tracking control law for the zero-order (nonholonomic) dynamics and propose a robust auxiliary controller to mitigate the sliding effects [9]. The relationship between the Bakker-Pacejka formula and the RDF coefficients is discussed in [11].…”
Section: Input-output Linearizationmentioning
confidence: 99%
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