Substitute Target Learning Based Control System for Control Knowledge Acquisition Within Constrained Environment | Zendy

Syafiq Fauzi Kamarulzaman | Zendy; Takeshi Shibuya | Zendy; Seiji Yasunobu | Zendy

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Substitute Target Learning Based Control System for Control Knowledge Acquisition Within Constrained Environment

Author(s) -

Syafiq Fauzi Kamarulzaman,

Takeshi Shibuya,

Seiji Yasunobu

Publication year - 2012

Publication title -

journal of advanced computational intelligence and intelligent informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.172

H-Index - 20

eISSN - 1343-0130

pISSN - 1883-8014

DOI - 10.20965/jaciii.2012.p0397

Subject(s) - computer science , inverted pendulum , control (management) , control system , real time control system , knowledge acquisition , control engineering , artificial intelligence , engineering , physics , quantum mechanics , nonlinear system , electrical engineering

Real-time operations are usually conducted within a constrained environment. A human requires constantly updated knowledge to respond flexibly under different constraints to configure a control method around the constraints. In this research, a control system based on substitute target learning is proposed to enable control operations to configure their own control method around the constraints. This control system is applied to an inverted pendulum control system and its effectiveness is confirmed through a series of simulations and an experiment using a real machine.

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