• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2006.05a
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• pp.22-34
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• 2006

o GA-BF approach for improvement of learning and optimization in GA o GA-BF has better response on various test functions o Satisfactory PID controller tuning in AVR, motor vector control systems o Potentially useful in many practically important engineering optimization problems

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.10a
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• pp.181-182
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• 2006

• 제어로봇시스템학회:학술대회논문집
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• 1986.10a
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• pp.21-25
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• 1986

An intelligent robot system can be regarded as the most generalized machine system that can perform a variety of tasks under unpredictable and unstructured environment with some intelligence. Robotics research topics related to four functions of the intelligent robot system are discussed. Also current research activities in Japan and Korea are discussed briefly.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2008.04a
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• pp.266-267
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• 2008

We argue that agents may benefit from strategic ignorance in argumentation-based negotiation (ABN). We assume our agents are selfish, myopic, and residing in open systems. Some analytical results that can be used for designing agent reasoning on strategic ignorance are provided.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1993.06a
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• pp.1242-1245
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• 1993

This paper describes simulation of navigating a sailboat around obstacles to a goal as quickly and safely as possible. Navigation strategies using concepts from fuzzy control are compared with more conventional ones through application at the levels of choosing an optimal heading and steering the sailboat towards that heading.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2003.05a
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• pp.226-229
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• 2003

This study presents an intelligent CRM (Customer Relationship Management) application methodology for supplier companies in Business-to-Business environments. The intelligent methodology proposed in this study consists of three-stage-procedures such as static CRM application stage, adaptive CRM application stage and external CRM application stage.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2010.11a
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• pp.719-720
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• 2010

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.7 no.2
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• pp.96-101
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• 2007

Neural networks are known as kinds of intelligent strategies since they have learning capability. There are various their applications from intelligent control fields; however, their applications have limits from the point that the stability of the intelligent control systems is not usually guaranteed. In this paper we propose an adaptive tracking control for robot manipulators using the radial basis function network (RBFN) that is e. kind of neural networks. Adaptation laws for parameters of the RBFN are developed based on the Lyapunov stability theory to guarantee the stability of the overall control scheme. Filtered tracking errors between actual outputs and desired outputs are discussed in the sense of the uniformly ultimately boundedness(UUB). Additionally, it is also shown that parameters of the RBFN are bounded. Experimental results for a SCARA-type robot manipulator show that the proposed adaptive tracking controller is adaptable to the environment changes and is more robust than the conventional PID controller and the neuro-controller based on the multilayer perceptron.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.1575-1579
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• 2003

This paper present the control of an intelligent home robot based on home network. The existing research is almost research of independent robot. home network will be a way that equipments in home exchange information. As robot combine home network, robot will be more intelligent and more powerful. We benefit for that load is divided in home network environment. The robot which has ultrasonic sensors performs obstacle avoidance with the Fuzzy Algorithm. Ethernet serial converter transmit the measuring data of home to a home server and the home server accumulates data. The home server controls the robot and manages home according to the acquired data. This paper supposed the home network system that consist of home server, embedded robot and intelligent home robot.

• Proceedings of the Optical Society of Korea Conference
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• 2009.02a
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• pp.303-303
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• 2009