2020
DOI: 10.1002/rnc.4967
|View full text |Cite
|
Sign up to set email alerts
|

Practical consensus tracking control of multiple nonholonomic wheeled mobile robots in polar coordinates

Abstract: This paper proposes a sliding-mode control (SMC) method to achieve practical cooperative consensus tracking for a network of multiple nonholonomic wheeled mobile robots (MNWMRs) with input disturbances. A novel SMC surface under the nonholonomic constraints is first formulated to characterize the network communication interactions among the networked robots under the framework of polar coordinates. A unified distributed consensus tracking strategy is then proposed by systematically combining a position control… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
12
0
1

Year Published

2020
2020
2023
2023

Publication Types

Select...
7

Relationship

2
5

Authors

Journals

citations
Cited by 30 publications
(13 citation statements)
references
References 36 publications
0
12
0
1
Order By: Relevance
“…For example, high speed and accuracy make industrial manipulators widely used in the production processes. With the advancement of technology and the need to increase the quality of products, cooperating robots, including arms, mobile robots, or UAVs, have become the center of attention 1–4 . Performing industrial tasks such as welding, transportation, painting, packaging, and assembly require high maneuverability, so they can not be done by a single robot and require the use of a team of robots.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…For example, high speed and accuracy make industrial manipulators widely used in the production processes. With the advancement of technology and the need to increase the quality of products, cooperating robots, including arms, mobile robots, or UAVs, have become the center of attention 1–4 . Performing industrial tasks such as welding, transportation, painting, packaging, and assembly require high maneuverability, so they can not be done by a single robot and require the use of a team of robots.…”
Section: Introductionmentioning
confidence: 99%
“…With the advancement of technology and the need to increase the quality of products, cooperating robots, including arms, mobile robots, or UAVs, have become the center of attention. [1][2][3][4] Performing industrial tasks such as welding, transportation, painting, packaging, and assembly require high maneuverability, so they can not be done by a single robot and require the use of a team of robots. On the other hand, increasing the number of robots raises the system complexity and challenges their control.…”
Section: Introductionmentioning
confidence: 99%
“…The study on the consensus problems of multiagent systems (MASs) recently has elicited increasing attention due to its broad prospects in applications such as Kalman consensus filter of sensor networks, 1 formation control of networked robotic systems, 2 and trajectory tracking of multiple nonholonomic wheeled mobile robots 3 . It is well known that the output regulation theory 4 as a novel technique can realize asymptotic tracking and/or disturbance rejection of a class of autonomous system (also called exosystem).…”
Section: Introductionmentioning
confidence: 99%
“…When the feedback information from the other variables is not complete, many of the systems can remain chaos [14][15][16] even in the jerk structure as hypogenetic flows [14]. Hot research on chaotic systems mainly focuses on chaos control [17][18][19][20], Lyapunov exponent calculation and analysis [21,22], and doubling and growth of attractors [23,24], and chaotic systems with hidden attractors are also hot research topics because such systems are extremely prone to multistable phenomena, which are a common phenomenon in nature. Considering from equilibrium point, hidden attractors can be mainly of several types, one stable equilibrium [25], a line or plane equilibrium [26,27], or no equilibrium [28].…”
Section: Introductionmentioning
confidence: 99%