2017
DOI: 10.1515/pomr-2017-0085
|View full text |Cite
|
Sign up to set email alerts
|

Comparison of Fuzzy System with Neural Aggregation FSNA with Classical TSK Fuzzy System in Anti-Collision Problem of USV

Abstract: The paper presents the research whose the main goal was to compare a new Fuzzy System with Neural

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
4
1
1

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(2 citation statements)
references
References 16 publications
0
2
0
Order By: Relevance
“…Table 1. To ignore the boundary effects, the widthdepth ratio of each model is larger than 10 [26][27][28][29][30][31][32]. The depth is divided into 12 layers, as shown in Figs.…”
Section: -D Numerical Modelling Techniquesmentioning
confidence: 99%
“…Table 1. To ignore the boundary effects, the widthdepth ratio of each model is larger than 10 [26][27][28][29][30][31][32]. The depth is divided into 12 layers, as shown in Figs.…”
Section: -D Numerical Modelling Techniquesmentioning
confidence: 99%
“…Extensive development work is currently underway on the concept of the Maritime Autonomous Surface Ship (MASS), which requires new solutions in many areas: law, economics, guidance, control and navigation [1][2][3]. Automated navigation tasks require the further development of high-level control systems; in particular, with respect to such issues as path planning and collision avoidance [4][5][6][7][8][9][10][11][12][13][14][15]. However, the basic issue in the research on developing autonomous marine surface vessels is motion control.…”
Section: Introductionmentioning
confidence: 99%