• 제어로봇시스템학회논문지
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• 제20권12호
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• pp.1231-1237
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• 2014

본 논문에서는 축소 차수 외란 관측기를 이용하여 외란이 있는 이종 다개체 시스템을 위한 협조 추종 제어기를 제안하였다. 이를 위해 우선 주어진 제어 문제가 외란과 모델 불확실성을 가지는 시스템을 위한 강인 제어 문제로 변환 될 수 있음을 보이고 변환된 문제에 외란 관측기 기반의 동적 협조 추종 제어기를 설계하였다. 모의 실험을 통해서 제안하는 이종 다개체 시스템의 협조 추종을 성공적으로 달성함을 보였다.

• International Journal of Computer Science & Network Security
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• 제23권2호
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• pp.164-172
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• 2023

Sharing power data between electrical power grids is crucial in energy management. The multi-agent approach has been applied in various applications to improve the development of complex systems by making them both independent and collaborative. The smart grid is one of the most intricate systems that requires a higher level of independence, reliability, protection, and adaptability to user requests. In this paper, a multi-agent system is utilized to share knowledge and tackle challenges in smart grids. The shared information is used to make decisions that aid in power distribution management within the grid and with other networks. The proposed multi-agent mechanism improves the reliability of the power system by providing the necessary information at critical times. The results indicate that the multi-agent system operates efficiently and promptly, making it a highly promising candidate for smart grid management.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1998년도 제13차 학술회의논문집
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• pp.507-512
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• 1998

It is an interesting area in the field of artificial intelligence to and an analytic model of cooperative structure for multi-agent system accomplishing a given task. Usually it is difficult to design controllers for multi-agent systems without a comprehensive knowledge about the system. One of the way to overcome this limitation is to implement an evolutionary approach to design the controllers. This paper introduces the use of a genetic algorithm to discover a fuzzy logic controller with rules that govern emergent co-operative behavior: A modified genetic algorithm was applied to automating the discovery of a fuzzy logic controller jot multi-agents playing a pursuit game. Simulation results indicate that, given the complexity of the problem, an evolutionary approach to and the fuzzy logic controller seems to be promising.

• 한국산학기술학회논문지
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• 제15권12호
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• pp.7451-7458
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• 2014

본 논문에서는 독립된 풍력 복합발전 시스템을 대상으로 시스템의 모델링과 다양한 환경에서 체계적으로 동작시키기 위한 멀티에이전트 기반의 제어방법을 제안한다. 멀티에이전트 제어는 풍력발전기, 디젤발전기, 배터리, 부하로 구성되는 새로운 형식의 하이브리드 제어방법이고, 풍속과 배터리의 충전상태에 따라 풍력 복합발전 시스템의 운전은 14개의 모드로 나누어 수행된다. 시뮬레이션 성능평가를 통해 제안된 알고리즘이 독립된 풍력 복합발전 시스템에서 다양한 풍속변화가 존재하는 경우에도 효율적으로 운전될 수 있음을 보여준다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권3호
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• pp.792-812
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• 2022

Multi-agent systems often need to achieve the goal of learning more effectively for a task through coordination. Although the introduction of deep learning has addressed the state space problems, multi-agent learning remains infeasible because of the joint action spaces. Large-scale joint action spaces can be sparse according to implicit or explicit coordination structure, which can ensure reasonable coordination action through the coordination structure. In general, the multi-agent system is dynamic, which makes the relations among agents and the coordination structure are dynamic. Therefore, the explicit coordination structure can better represent the coordinative relationship among agents and achieve better coordination between agents. Inspired by the maximization of social group utility, we dynamically construct a factor graph as an explicit coordination structure to express the coordinative relationship according to the utility among agents and estimate the joint action values based on the local utility transfer among factor graphs. We present the application of such techniques in the scenario of multiple intelligent vehicle systems, where state space and action space are a problem and have too many interactions among agents. The results on the multiple intelligent vehicle systems demonstrate the efficiency and effectiveness of our proposed methods.

• Journal of Information Technology Applications and Management
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• 제19권1호
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• pp.37-46
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• 2012

The scheduling problem of large products like ships, airplanes, space shuttles, assembled constructions, and automobiles is very complex in nature. To reduce inherent computational complexity, we often design scheduling systems that the original problem is decomposed into small sub-problems, which are scheduled independently and integrated into the original one. Moreover, the steep growth of communication technology and logistics makes it possible to produce a lot of multi-nation corporation by which products are produced across more than one plant. Therefore vertical and lateral coordination among decomposed scheduling systems is necessary. In this research, we suggest an agent-based coordinating mechanism for multi-level scheduling systems in supply chain. For design of a general coordination mechanism, at first, we propose a grammar to define individual scheduling agents which are responsible to their own plants, and a meta-level coordination agent which is engaged to supervise individual scheduling agents. Second, we suggest scheduling agent communication protocols for each scheduling agent topology which is classified according to the system architecture, existence of coordinator, and direction of coordination. We also suggest a scheduling agent communication language which consists of three layers : Agent Communication Layer, Scheduling Coordination Layer, Industry-specific Layer. Finally, in order to improve the efficiency of communication among scheduling agents we suggest a rough capacity coordination model which supports to monitor participating agents and analyze the status of them. With this coordination mechanism, we can easily model coordination processes of multiple scheduling systems. In the future, we will apply this mechanism to shipbuilding domain and develop a prototype system which consists of a dock-scheduling agent, four assembly-plant-scheduling agents, and a meta-level coordination agent. A series of experiment using the real-world data will be performed to examine this mechanism.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2006년도 춘계학술대회 학술발표 논문집 제16권 제1호
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• pp.275-278
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• 2006

멀티 에이전트(Multi-Agent)들이 상호 연동하여 공통의 목적을 수행하기 위해서는 에이전트를 관리하는 매니지먼트 에이전트(Management Agent)가 요구되고, 주어진 환경에서 획득한 제한된 지식을 효율적으로 이용하는 방법이 필요하다. 본 논문에서는 네이브 베이즈 이론을 적용하여 각 에이전트의 속성값(Attribute Value)에 따라 매니지먼트 에이전트가 각 에이전트를 효율적으로 관리할 수 있는 NBMA(Naive Bayes Management Agent)를 제안하고 이를 이용한 미팅 참가 결정 에이전트를 제안한다. NBMA는 고유한 속성을 지닌 여러 개의 하위 에이전트와 그들을 관리하는 매니지먼트 에이전트로 구성되어 있으며 매니지먼트 에이전트는 하위 에이전트들의 고유한 속성에 대한 메타지식을 이용하여 관리 하도록 한다. 하위 에이전트간에는 상호 조건부 독립(mutually conditional independence) 가정하에 복수의 속성값을 취하며 이러한 속성값에 따라 매니지먼트 에이전트가 조정과 의사결정을 하도록 한다.

• 전기학회논문지
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• 제56권4호
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• pp.660-668
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• 2007

In order to improve the efficiency of service restoration function in the current Distribution Automation System (DAS), in this paper it is proposed a more advanced and efficient service restoration approach using Multi-Agent technique based on distributed networks. In the current DAS, communication networks or protocol structures are centralized with communications between the central station and FRTU through 1:1 connection. In order to maintain the current systems and enhance the proposed Multi-Agent based service restoration scheme, a device of communication and intelligence, named MASX, is newly developed to make a FRTU as an agent to cooperate each others. the proposed system applied in a demo system for an distribution automation system and shows 8 times reduction of restoration time in restoration of blackouts.

• Transactions on Control, Automation and Systems Engineering
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• 제1권2호
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• pp.147-152
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• 1999

It is an interesting area in the field of artifical intelligence to find an analytic model of cooperative structure for multiagent system accomplishing a given task. Usually it is difficult to design controllers for multi-agent systems without a comprehensive knowledge about the system. One of the way to overcome this limitation is to implement an evolutionary approach to design the controllers. This paper introduces the use of a genetic algorithm to discover a fuzzy logic controller with rules that govern emergent agents solving a pursuit problem in a continuous world. Simulation results indicate that, given the complexity of the problem, an evolutionary approach to find the fuzzy logic controller seems to be promising.

• 제어로봇시스템학회논문지
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• 제18권5호
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• pp.439-444
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• 2012

In this study, we address the formation control problem of coupled unicycle-type mobile robots, each of which can interact with its neighboring robots by communicating their position outputs. Each communication link between two mobile robots is assumed to be established according to the given time-varying interconnection topology that switches within a finite set of connected fixed undirected networks and has a non-vanishing dwell time. Under this setup, we propose a distributed formation control algorithm by using the dynamics extension and feedback linearization methods, and by employing a consensus algorithm for linear multi-agent systems which provides arbitrary fast convergence rate to the agreement of the multi-agent system. Finally, the proposed result is demonstrated through a computer simulation.