A NEW METHOD OF THE EVOLUTIONARY ALGORITHM FOR ADAPTIVE LEARNING CONTROL
SungOuk Chang, YongHo Park, and JinKul Lee
Doctoral Degree student, School of Mechanical Engineering, Pusan National University Professor, Mechanical Engineering, KoJe College Professor, Mechanical Engineering, Pusan National University E-mail: marble@pusan.ac.kr

In case of restricting the relation between the parents and the offspring as each one in order to learn in real time, a new numerical formula is proposed to solve the difficulty of adjusting the search region as reducing the individual by using the error generated from the sensor of the dynamic system. The mutation equation of evolutionary strategy uses the error that is generated from the dynamic system. Competitive individuals among total population are reduced with automatic adjustments of the search region in accord with the error. Therefore, it is possible to control the control object varied as time changes because control signal of the learning is generated in real-time. As the state value of the control object is generated, applied evolutionary strategy each sampling time because the learning process of an estimation, selection and mutation is done in real-time. These algorithms can be applied; the people who do not have knowledge about the technical tuning of dynamic systems could design the controller or problems in which the characteristics of the system dynamics are slightly varied as time changes.
Keywords: real-time, search region, mutation equation, evolutionary strategy, learning process, time changes
Session slot T-Th-M13: Real-Time Systems Issues/Area code 9d : Algorithms and Architectures for Real-Time Control

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