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Fault-tolerant leader-following consensus for multi-agent systems subject to semi-Markov switching topologies: An event-triggered control scheme

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TLDR
A fault-tolerant event-triggered control protocol is developed to obtain the leader-following consensus of the multi-agent systems and an appropriate Lyapunov–Krasovskii functional is derived.
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This article is published in Nonlinear Analysis: Hybrid Systems.The article was published on 2019-11-01. It has received 109 citations till now. The article focuses on the topics: Network topology & Multi-agent system.

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Citations
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Journal ArticleDOI

A New Observer-Based Cooperative Fault-Tolerant Tracking Control Method With Application to Networked Multiaxis Motion Control System

TL;DR: An improved observer-based fault-tolerant tracking control approach for industrial multiagent systems that can be guaranteed despite of multiple faults and disturbances is proposed.
Journal ArticleDOI

Reachable set estimation of delayed fuzzy inertial neural networks with Markov jumping parameters

TL;DR: A novel approach of combining the reciprocally convex combination and weighted summation inequalities is employed to get the less conservative conditions of reachable set estimation for a class of Takagi-Sugeno fuzzy model based Markov jump inertial neural networks with time-varying delay.
Journal ArticleDOI

Reachable set estimation for Markov jump LPV systems with time delays

TL;DR: By applying a novel summation inequality integrated with the reciprocally convex approach under the framework of the Lyapunov functional method, the delay-dependent conditions are provided to guarantee the presence of an ellipsoid that bounds the system state in the existence of bounded disturbances.
Journal ArticleDOI

Fixed-time Group Consensus of Nonlinear Multi-agent Systems via Pinning Control

TL;DR: Two pinning control algorithms are constructed for MASs, which not only reduce the number of controllers but also achieve expected tracking consensus andFixed-time group consensus is ensured by utilizing the algebraic graph theory, Lyapunov stability and fixed-time control technique.
Journal ArticleDOI

Sampled-data H∞ exponential synchronization for delayed semi-Markov jump CDNs: A looped-functional approach

TL;DR: This paper investigates the H ∞ exponential synchronization problem of delayed semi-Markov jump complex dynamical networks by utilizing the sampled-data control scheme and constructing a suitable Lyapunov–Krasovskii functional with a looped-functional and adopting an advanced inequality method.
References
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Journal ArticleDOI

Flocking for multi-agent dynamic systems: algorithms and theory

TL;DR: A theoretical framework for design and analysis of distributed flocking algorithms, and shows that migration of flocks can be performed using a peer-to-peer network of agents, i.e., "flocks need no leaders."
Book

Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence

TL;DR: Jacques Ferber's authoritative book is the first to provide a single, coherent overview of multi-agent systems, and introduces and defines key concepts throughout the text.
Journal ArticleDOI

Leader-following consensus of multi-agent systems under fixed and switching topologies ☆

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.
Journal ArticleDOI

Designing Fully Distributed Consensus Protocols for Linear Multi-Agent Systems With Directed Graphs

TL;DR: A distributed adaptive consensus protocol is designed to achieve leader-follower consensus in the presence of a leader with a zero input for any communication graph containing a directed spanning tree with the leader as the root node.
Journal ArticleDOI

An Overview of Recent Advances in Event-Triggered Consensus of Multiagent Systems

TL;DR: An overview of recent advances in event-triggered consensus of MASs is provided and some in-depth analysis is made on several event- Triggered schemes, including event-based sampling schemes, model-based event-Triggered scheme, sampled-data-basedevent-trIGgered schemes), and self- triggered sampling schemes.
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