2017
DOI: 10.1007/978-3-319-55372-6_23
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Coordinated Control of Mobile Robots with Delay Compensation Based on Synchronization

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Cited by 6 publications
(3 citation statements)
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“…A distance constrained based adaptive flocking control for the multi-agent system with network-induced delay was investigated in [20]. Recently, coordinated control of two-wheel mobile robots with input network-induced delay was presented in [21]. Although all of these proposed methods perform well dealing with the effects of network-induced delay, they still need the detailed information of the system.…”
Section: Related Workmentioning
confidence: 99%
“…A distance constrained based adaptive flocking control for the multi-agent system with network-induced delay was investigated in [20]. Recently, coordinated control of two-wheel mobile robots with input network-induced delay was presented in [21]. Although all of these proposed methods perform well dealing with the effects of network-induced delay, they still need the detailed information of the system.…”
Section: Related Workmentioning
confidence: 99%
“…Predicting the value of x(t + T ) is often needed for control purposes. For example, state-predictions are extensively used for closed-loop input-delay compensation (Manitius and Olbrot (1979); Artstein (1982); Krstic (2008Krstic ( , 2010; Mazenc et al (2012); Li et al (2014); Cao and Oguchi (2017)); for controlling systems with delays and disturbances (Di Loreto et al (2005); Sanz et al (2016b); Furtat et al (2017); Santos and Franklin (2018)); for model predictive control (Mayne (2014); Binder et al (2019)); and, also, in other applications where estimates of x(t + T ) may be useful, such as collision avoidance (Polychronopoulos et al (2007)).…”
Section: Introductionmentioning
confidence: 99%
“…Predicting the value of x(t + T ) is often needed for control purposes. For example, state-predictions are extensively used for closed-loop input-delay compensation (Manitius and Olbrot (1979); Artstein (1982); Krstic (2008Krstic ( , 2010; Mazenc et al (2012); Li et al (2014); Cao and Oguchi (2017)); for controlling systems with delays and disturbances (Di Loreto et al (2005); Sanz et al…”
Section: Introductionmentioning
confidence: 99%