2020
DOI: 10.1017/s0263574720000922
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Cooperative Pursuit Control for Multiple Underactuated Underwater Vehicles with Time Delay in Three-Dimensional Space

Abstract: SUMMARY In this paper, the k-valued logic control network is introduced to study the cooperative pursuit control problem of multiple underactuated underwater vehicles (UUVs) with time delay in three-dimensional space. The semi-tensor product of matrices is used to solve the complex calculation problem of the large dimension matrix. The influence of communication delay on multiple UUVs’ optimization and cooperative pursuit control is expressed in a matrix. Under the leadership of evader UUV, the control algo… Show more

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Cited by 9 publications
(6 citation statements)
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“…The control is realized by means of a mixed-value logic network, leveraging the semi-tensor product between matrices to cope with the huge amount of data that may be collected during the journey. This work inspired some advances, as reported in [64,80,81]. In particular, [64] is reviewed in Section 5.…”
Section: Coordination Gamesmentioning
confidence: 92%
“…The control is realized by means of a mixed-value logic network, leveraging the semi-tensor product between matrices to cope with the huge amount of data that may be collected during the journey. This work inspired some advances, as reported in [64,80,81]. In particular, [64] is reviewed in Section 5.…”
Section: Coordination Gamesmentioning
confidence: 92%
“…Time-delay control (TDC) is often an efficient way of tackling the issues listed above. The TDC scheme is widely utilized for significant applications, such as robot manipulators (Baek et al, 2021), underwater vehicles (Qi and Cai, 2021), and robots with flexibilities (Xu and Xu, 2022). Meanwhile, the use of time-delayed control commands will necessarily profit estimation errors, that is, time-delay estimation (TDE) errors, in practical control methodologies implementations.…”
Section: Introductionmentioning
confidence: 99%
“…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][2][3][4]. Performing industrial tasks such as welding, transportation, painting, packaging, and assembly requires high maneuverability, so they cannot be done by a single robot and require the use of a team of robots.…”
Section: Introductionmentioning
confidence: 99%
“…Lack of enough experience will turn the design process into time-consuming and tedious work because it is necessary to determine the parameters based on trial and error. In FAT-based approaches, on the other hand, because of the simple structure and the limited number of parameters, their values can be easily determined; (3) In neuro-fuzzy systems, to keep the parameters in a particular range, projection algorithms are usually needed, which raises the computational load of the controller further; (4) Neuro-fuzzy structures usually require different feedbacks from system states. For example, when uncertainty is a function of system states, the neuro-fuzzy approximator needs to receive those states as inputs, which raises the computational complexity of the system.…”
Section: Introductionmentioning
confidence: 99%