Open AccessJournal Article
Adaptive Neuro-Fuzzy Formation Control for Leader-Follower Mobile Robots
TLDR
From simulation and experimental results, the proposed adaptive neural fuzzy protocol can provide better formation responses compared to conventional consensus algorithms.Abstract:
This paper aims to investigate the formation control of multi-robot systems, where the kinematic model of a differentially driven wheeled mobile robot is considered. Based on the graph-theoretic concepts and locally distributed information, an adaptive neural fuzzy formation controller is designed with the capability of on-line learning. The learning rules of controller parameters can be derived from the analyzing of Lyapunov stability. In addition to simulations, the proposed techniques are applied to an experimental multi-robot platform for performance validations. From simulation and experimental results, the proposed adaptive neural fuzzy protocol can provide better formation responses compared to conventional consensus algorithms.read more
Citations
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Journal ArticleDOI
Takagi–Sugeno Dynamic Neuro-Fuzzy Controller of Uncertain Nonlinear Systems
TL;DR: A neuro-fuzzy system that implements differential neural networks (DNNs) as consequences of Takagi–Sugeno (T–S) fuzzy inference rules is proposed, and the DNNs substitute the local linear systems that are used in the common T–S method.
Journal ArticleDOI
New similarity measures of intuitionistic fuzzy sets based on the Jaccard index with its application to clustering
TL;DR: A new similarity measure for IFSs induced by the Jaccard index is proposed and a clustering procedure is proposed by combining the proposed similarity measure with a robust clustering method for analyzing IFS data sets.
Journal ArticleDOI
Adaptive Neuro-Fuzzy-Based Anomaly Detection System in Cloud
P. Ganeshkumar,N. Pandeeswari +1 more
TL;DR: The performance analysis and results show that the proposed hypervisor detector based on ANFIS is well designed to detect the anomalies in cloud environment with minimum false negative rate and high detection accuracy.
Journal ArticleDOI
A novel dice similarity measure for IFSs and its applications in pattern and face recognition
Akanksha Singh,Sanjay Kumar +1 more
TL;DR: An algorithm for face recognition problem using proposed dice similarity measure, based on inner product and overcomes limitations of existing similarity measures is proposed and performance is compared with few existing methods.
Journal ArticleDOI
Composite Learning Fuzzy Control of Uncertain Nonlinear Systems
TL;DR: A model reference composite learning fuzzy control strategy is proposed for a class of affine nonlinear systems with functional uncertainties and it is proven that the closed-loop system achieves semiglobal practical exponential stability by an interval-excitation condition which is much weaker than a persistent-excitement condition.
References
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Book
Applied Nonlinear Control
TL;DR: Covers in a progressive fashion a number of analysis tools and design techniques directly applicable to nonlinear control problems in high performance systems (in aerospace, robotics and automotive areas).
Journal ArticleDOI
Consensus problems in networks of agents with switching topology and time-delays
TL;DR: A distinctive feature of this work is to address consensus problems for networks with directed information flow by establishing a direct connection between the algebraic connectivity of the network and the performance of a linear consensus protocol.
BookDOI
Distributed Consensus in Multi-vehicle Cooperative Control
Wei Ren,Randal W. Beard +1 more
TL;DR: In this article, the authors present a survey of the use of consensus algorithms in multi-vehicle cooperative control, including single-and double-integrator dynamical systems, rigid-body attitude dynamics, rendezvous and axial alignment, formation control, deep-space formation flying, fire monitoring and surveillance.
Journal ArticleDOI
Leader-following consensus of multi-agent systems under fixed and switching topologies ☆
Wei Ni,Daizhan Cheng +1 more
TL;DR: The control of each agent using local information is designed and detailed analysis of the leader-following consensus is presented for both fixed and switching interaction topologies, which describe the information exchange between the multi-agent systems.
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