2009
DOI: 10.1016/j.ins.2008.09.012
|View full text |Cite
|
Sign up to set email alerts
|

EP-based kinematic control and adaptive fuzzy sliding-mode dynamic control for wheeled mobile robots

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
59
0
2

Year Published

2010
2010
2023
2023

Publication Types

Select...
8
2

Relationship

1
9

Authors

Journals

citations
Cited by 95 publications
(61 citation statements)
references
References 35 publications
(54 reference statements)
0
59
0
2
Order By: Relevance
“…Equivalently, the control objective can be stated in terms of a reference model (desired trajectory) as: (11) where, K d = diag{w 1 2 , w 2 2 }. Similar to (7), the reference model can be written as the following state space model: (12) In reference (Fei and Batur, 2009), the authors have presented some assumptions to consider matched and unmatched uncertainties and disturbances. However, some modifications should be done.…”
Section: Dynamics Of Mems Z-axis Gyroscopementioning
confidence: 99%
“…Equivalently, the control objective can be stated in terms of a reference model (desired trajectory) as: (11) where, K d = diag{w 1 2 , w 2 2 }. Similar to (7), the reference model can be written as the following state space model: (12) In reference (Fei and Batur, 2009), the authors have presented some assumptions to consider matched and unmatched uncertainties and disturbances. However, some modifications should be done.…”
Section: Dynamics Of Mems Z-axis Gyroscopementioning
confidence: 99%
“…Dinh, et al, [15] presented a differential sliding mode tracking controller for trajectory tracking of the three-wheeled mobile platform. Chen et al, [16] proposed a complete control law comprising a kinematic control and a sliding-mode dynamic control for the trajectory tracking control of nonholonomic WMRs. The assumptions of the nonholonomic constraints are still ideally satisfied even though the disturbance or parameter variation influences were considered in the above-mentioned papers.…”
Section: Introductionmentioning
confidence: 99%
“…Ancak, pratikte dinamik parametrelerin elde edilmesi zor ve sistemin tam olarak modellenmesi güç olduğundan, sistemin matematiksel modelinin kesin olarak bilinmesine gerek duymayan kontrolcüler önerilmiştir. Önerilen kontrolcü yapılarının karmaşıklığı ve uygulama zorlukları [13]- [15], gerçek zamanlı olarak çalışmalarında düşük performans sergilemeleri [16], [17] ve üretilen kontrol işaretlerinin yüksek osilasyon içermeleri [18], [19] gibi zorluklar bu kontrolcülerin uygulamalarda yaygın olarak kullanılmasını önlemiştir.…”
Section: Introductionunclassified