This paper introduces a new lifting method for analyzing convergence of continuous-time distributed synchronization/consensus systems on the unit sphere. Points on the d-dimensional unit sphere are lifted to the (d + 1)-dimensional Euclidean space. The consensus protocol on the unit sphere is the classical one, where agents move toward weighted averages of their neighbors in their respective tangent planes. Only local and relative state information is used. The directed interaction graph topologies are allowed to switch as a function of time. The dynamics of the lifted variables are governed by a nonlinear consensus protocol for which the weights contain ratios of the norms of state variables. We generalize previous convergence results for ...
We study the problem of asymptotic consensus as it occurs in a wide range of applications in both ma...
In this paper we investigate the properties of a decentralized consensus algorithm for a network of ...
Many cooperative behaviors of multi-agent teams emerge from local interactions among the agents, whe...
This paper introduces a new lifting method for analyzing convergence of continuous-time distributed ...
Abstract-This paper provides a novel analysis of the global convergence properties of a well-known c...
This paper establishes novel results regarding the global convergence properties of a large class of...
The present paper considers distributed consensus algorithms for agents evolving on a connected comp...
This paper establishes novel results regarding the global convergence properties of a large class of...
This paper concerns two aspects of the multi- agent consensus problem on the n-sphere. Firstly, it p...
In this paper. we study the behavior of a network of N agents, each evolving on the circle. We propo...
peer reviewedIn this paper, we study the behavior of a discrete-time network of N agents, each evolv...
This paper addresses the consensus problem of multiagent systems with a time-invariant communication...
In this paper we investigate the properties of a decentralized consensus algorithm for a network of ...
We discuss an old distributed algorithm for reach- ing consensus that has received a fair amount of ...
International audienceIn this article, we investigate the asymptotic formation of consensus for seve...
We study the problem of asymptotic consensus as it occurs in a wide range of applications in both ma...
In this paper we investigate the properties of a decentralized consensus algorithm for a network of ...
Many cooperative behaviors of multi-agent teams emerge from local interactions among the agents, whe...
This paper introduces a new lifting method for analyzing convergence of continuous-time distributed ...
Abstract-This paper provides a novel analysis of the global convergence properties of a well-known c...
This paper establishes novel results regarding the global convergence properties of a large class of...
The present paper considers distributed consensus algorithms for agents evolving on a connected comp...
This paper establishes novel results regarding the global convergence properties of a large class of...
This paper concerns two aspects of the multi- agent consensus problem on the n-sphere. Firstly, it p...
In this paper. we study the behavior of a network of N agents, each evolving on the circle. We propo...
peer reviewedIn this paper, we study the behavior of a discrete-time network of N agents, each evolv...
This paper addresses the consensus problem of multiagent systems with a time-invariant communication...
In this paper we investigate the properties of a decentralized consensus algorithm for a network of ...
We discuss an old distributed algorithm for reach- ing consensus that has received a fair amount of ...
International audienceIn this article, we investigate the asymptotic formation of consensus for seve...
We study the problem of asymptotic consensus as it occurs in a wide range of applications in both ma...
In this paper we investigate the properties of a decentralized consensus algorithm for a network of ...
Many cooperative behaviors of multi-agent teams emerge from local interactions among the agents, whe...