Multi-agent Control Strategy for Microgrids using Petri Nets

Due to the advancements in manufacturing system technology and the ever-increasing demand for personalized products, there is a growing desire to improve the flexibility of manufacturing systems. Multi-agent control is one strategy that has been proposed to address this challenge. The multi-agent control strategy relies on the decision making and cooperation of a number of intelligent software agents to control and coordinate various components on the shop floor. One of the most important agents for this control strategy is the product agent, which is the decision maker for a single part in the manufacturing system. To improve the flexibility and adaptability of the product agent and its control strategy, this work proposes a direct and active cooperation framework for the product agent. The directly and actively cooperating product agent can identify and actively negotiate scheduling constraints with other agents in the system. A new modeling formalism, based on priced timed automata, and an optimization-based decision making strategy are proposed as part of the framework. Two simulation case studies showcase how direct and active cooperation can be used to improve the flexibility and performance of manufacturing systems.

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Cooperative Product Agents to Improve Manufacturing System Flexibility: A Model-Based Decision Framework

10.36227/techrxiv.17136680.v1 ◽

2021 ◽

Author(s):

Ilya Kovalenko ◽

Efe Balta ◽

Dawn Tilbury ◽

Kira Barton

Keyword(s):

Decision Making ◽

Control Strategy ◽

Manufacturing Systems ◽

Manufacturing System ◽

Timed Automata ◽

Shop Floor ◽

Intelligent Software ◽

Multi Agent ◽

Agent Control ◽

And Performance

Due to the advancements in manufacturing system technology and the ever-increasing demand for personalized products, there is a growing desire to improve the flexibility of manufacturing systems. Multi-agent control is one strategy that has been proposed to address this challenge. The multi-agent control strategy relies on the decision making and cooperation of a number of intelligent software agents to control and coordinate various components on the shop floor. One of the most important agents for this control strategy is the product agent, which is the decision maker for a single part in the manufacturing system. To improve the flexibility and adaptability of the product agent and its control strategy, this work proposes a direct and active cooperation framework for the product agent. The directly and actively cooperating product agent can identify and actively negotiate scheduling constraints with other agents in the system. A new modeling formalism, based on priced timed automata, and an optimization-based decision making strategy are proposed as part of the framework. Two simulation case studies showcase how direct and active cooperation can be used to improve the flexibility and performance of manufacturing systems.

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Adaptive Multi-Agent Control Strategy in Heterogeneous Countermeasure Environments

International Journal of Multimedia Data Engineering and Management ◽

10.4018/ijmdem.2021040103 ◽

2021 ◽

Vol 12 (2) ◽

pp. 31-56

Author(s):

Wei Wang ◽

Hui Liu ◽

Wangqun Lin

Keyword(s):

Control Strategy ◽

Source Information ◽

Proposed Model ◽

Short Period ◽

Air Combat ◽

Multi Agent ◽

Agent Control ◽

Simulation Results ◽

Combat Environment ◽

Tree Method

In the rapidly changing air combat environment, it is quite difficult for pilots to make speedy and reasonable decisions in a very short period due to lack of experience and the uncertainty of perception situation. Hence, the authors propose an intelligent cognitive tactical strategy framework of air combat on multi-source information in uncertain air combat situations for decision support. A fuzzy inferring tree method is proposed to simulate human intellection. Then, to further improve the accuracy of the reasoning results, a genetic algorithm is introduced to optimize the structure and parameters of fuzzy rules. The simulation results show that the proposed model is reasonable, fast, accurate, repeatable, and fatigue-free, which lays a good foundation for future high-end unmanned combat explorations.

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