Distributed cooperative deployment of heterogeneous autonomous agents: a Pareto suboptimal approach

Franzini, Giovanni; Innocenti, Mario

doi:10.1017/s0263574718000814

Cited by 3 publications

(1 citation statement)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A MAS has several important characteristics:  Autonomy: the agents are at least to some extent capable of deciding to for themselves. [9][10], control systems [11], infrastructure and transportation [12] and other sectors. The aim of this paper is to present a MAS approach in order to fulfill the steel smart factory requirements with the aim of overcoming the existing drawbacks, leading to increased flexibility, resource efficiency and throughput of the steel production.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Agent Approach for the Self-Optimization of Steel Production

Iannino

Vannocci

Vannucci

et al. 2019

International Journal of Simulation: Systems, Science &Amp; Technology

View full text Add to dashboard Cite

The paper presents a distributed intelligence-based system concept for modeling and self-optimizing the production of flat steel products. The concept is implemented through a multi-agent system approach. In particular, three types of autonomous agents are modelled, each playing a different role in the steel production chain. The agents are designed in order to take autonomous decisions based on their current and target state, to adapt the production scheduling through optimization algorithms and communicating each other to react on unforeseen interruptions and disturbances. The approach is designed for the steel coil coating manufacturing but can be easily readapted to any brown-field scenario.

show abstract

Section: Introductionmentioning

confidence: 99%

A Multi-Agent Approach for the Self-Optimization of Steel Production

Iannino

Vannocci

Vannucci

et al. 2019

International Journal of Simulation: Systems, Science &Amp; Technology

View full text Add to dashboard Cite

show abstract

Distributed Optimal Deployment on a Circle for Cooperative Encirclement of Autonomous Mobile Multi-Agents

et al. 2020

View full text Add to dashboard Cite

A distributed encirclement points deployment scheme for a group of autonomous mobile agents is addressed in this paper. Herein, each agent can measure its own azimuth related to the common target and can at least communicate with its two adjacent neighbors. Given its space-cooperative character, the encirclement points deployment problem is formulated as the coverage control problem on a circle. The measurement range of azimuth sensor is taken into consideration when doing problem formulation, which is closer to the facts in real-world applications. Then, the fully distributed control protocols are put forward based on geometric principle and the convergence is proved strictly with algebraic method. The proposed control protocols can steer the mobile agents to distribute evenly on the circle such that the coverage cost function is minimized, and meanwhile the mobile agents' spatial order on the circle is preserved throughout the systems' evolution. A noteworthy feature of the proposed control protocols is that only the azimuths of a mobile agent and its two adjacent neighbors are needed to calculate the mobile agent's control input, so that the control protocols can be easily implemented in general. Moreover, an adjustable feedback gain is introduced, and it can be employed to improve the convergence rate effectively. Finally, numerical simulations are carried out to verify the effectiveness of the proposed distributed control protocols.INDEX TERMS Cooperative encirclement, optimal deployment, autonomous mobile multi-agents, distributed control, uniform coverage control.

show abstract