2013
DOI: 10.1109/tcst.2012.2227964
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Hybrid Model Predictive Control for the Stabilization of Wheeled Mobile Robots Subject to Wheel Slippage

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Cited by 44 publications
(24 citation statements)
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“…The use of this penalty term, which is set forth to encode the desired control objectives, implies that the numerical solution of the optimal control problem must combine the usual collocation technique describe in Section 2.2 with a penalty function methodology. In particular, in this work, the well-known continuation method has been implemented following a similar approach to [19]. In this specific case of waypoint modeling, the penalty term takes the form…”
Section: Waypoint Constraintsmentioning
confidence: 99%
“…The use of this penalty term, which is set forth to encode the desired control objectives, implies that the numerical solution of the optimal control problem must combine the usual collocation technique describe in Section 2.2 with a penalty function methodology. In particular, in this work, the well-known continuation method has been implemented following a similar approach to [19]. In this specific case of waypoint modeling, the penalty term takes the form…”
Section: Waypoint Constraintsmentioning
confidence: 99%
“…In Muralidharan and Mahindrakar (2013), the stabilization of mobile robot with constraints of configuration is solved by sliding mode technique. Stabilization of a mobile robot using model predictive control is presented in Xiao et al (2017), Wei et al (2013).…”
Section: Introductionmentioning
confidence: 99%
“…As a special type of hybrid systems, switched systems have attracted increasing attention [10,11]. Wei et al study the problem of traction control, that is, how to stabilize a wheeled mobile robot (WMR) subject to wheel slippage to a desired configuration [12]. Uthaichana et al present a hybrid optimal control solution for the power management problem of a parallel hybrid electric vehicle (PHEV), based on a two-mode operation model of PHEV [13].…”
Section: Introductionmentioning
confidence: 99%