This paper presents a cooperative extremum seeking control scheme that uses a linear formation of two robots to find a maximum of an unknown one-dimensional non-linear map. A consensus control algorithm is used to drive the centre of the formation and an integral feedback control loop is proposed to drive the gradient of an unknown field function to zero. Simulation results are provided to evaluate the performance of the proposed method.This research was supported by the Australian Research Council under grant DP16010112
In this paper we introduce a formation control loop that maximizes the performance of the cooperativ...
In this paper, we deal with a network of agents that want to cooperatively minimize the sum of local...
International audienceThis paper proposes an algorithm to guide a formation of mobile robots, subjec...
In this paper, a combined formation acquisition and cooperative extremum seeking control scheme is p...
Recent developments in extremum seeking theory have established a general framework for the methodol...
A unified framework based on discrete-time gradient-based extremum seeking control is proposed to lo...
The work in this thesis describes theoretical and experimental results of extremum seeking applied t...
In this paper and its companion paper (Ahmadi Barogh and Werner, 2017), the problem of source seekin...
This paper presents a novel approach to the source seeking problem, where a group of mobile agents t...
This thesis addresses a problem of the source localisation of an unknown non-linear field by means o...
International audienceThis paper presents a multi-agent algorithm to address the source-seeking prob...
148 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2009.Motivated by the applications...
This paper presents a novel class of resource-constrained multi-agent systems for cooperatively esti...
In this thesis, we investigate the problem of path formation and prey retrieval in a swarm of robots...
The cooperate behavior that emerges from the interactions among simple multi-agent robots along with...
In this paper we introduce a formation control loop that maximizes the performance of the cooperativ...
In this paper, we deal with a network of agents that want to cooperatively minimize the sum of local...
International audienceThis paper proposes an algorithm to guide a formation of mobile robots, subjec...
In this paper, a combined formation acquisition and cooperative extremum seeking control scheme is p...
Recent developments in extremum seeking theory have established a general framework for the methodol...
A unified framework based on discrete-time gradient-based extremum seeking control is proposed to lo...
The work in this thesis describes theoretical and experimental results of extremum seeking applied t...
In this paper and its companion paper (Ahmadi Barogh and Werner, 2017), the problem of source seekin...
This paper presents a novel approach to the source seeking problem, where a group of mobile agents t...
This thesis addresses a problem of the source localisation of an unknown non-linear field by means o...
International audienceThis paper presents a multi-agent algorithm to address the source-seeking prob...
148 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2009.Motivated by the applications...
This paper presents a novel class of resource-constrained multi-agent systems for cooperatively esti...
In this thesis, we investigate the problem of path formation and prey retrieval in a swarm of robots...
The cooperate behavior that emerges from the interactions among simple multi-agent robots along with...
In this paper we introduce a formation control loop that maximizes the performance of the cooperativ...
In this paper, we deal with a network of agents that want to cooperatively minimize the sum of local...
International audienceThis paper proposes an algorithm to guide a formation of mobile robots, subjec...