2020
DOI: 10.1080/23335777.2020.1716269
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Non-linear optimal control for four-wheel omnidirectional mobile robots

Abstract: The article proposes a non-linear optimal control approach for four-wheel omnidirectional mobile robots. The method has been successfully tested so-far on the control problem of several types of autonomous ground vehicles and the present article shows that it can also provide the only optimal solution to the control problem of four-wheel omnidirectional robotic vehicles. To implement this control scheme, the state-space model of the robotic vehicle undergoes first approximate linearisation around a temporary o… Show more

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Cited by 2 publications
(2 citation statements)
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“…Rigatos et al. [16] developed a non‐linear optimal control with the linearization point algorithm around a temporary operating point for omnidirectional robotic vehicles. In [17], a non‐linear disturbance observer is using an extended Kalman filter (NDEKF) that was developed for the problem of tracking the path of a wheeled mobile robot and achieving good position tracking and disturbance compensation.…”
Section: Introductionmentioning
confidence: 99%
“…Rigatos et al. [16] developed a non‐linear optimal control with the linearization point algorithm around a temporary operating point for omnidirectional robotic vehicles. In [17], a non‐linear disturbance observer is using an extended Kalman filter (NDEKF) that was developed for the problem of tracking the path of a wheeled mobile robot and achieving good position tracking and disturbance compensation.…”
Section: Introductionmentioning
confidence: 99%
“…The rapid growth of energy consumption worldwide, as well as the shift to green energy and the associated netzero polluting gas emission objective have fostered the deployment of the use of renewable energy sources. [1][2][3][4] In this context, marine power generation units have a raising contribution to the energy balance of several countries where intensive tidal phenomena and strong sea currents appear. [5][6][7] The functioning of marine power generation units often takes place under harsh conditions, which results into turbine or generator failures.…”
Section: Introductionmentioning
confidence: 99%