“School of Cognitive”
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| Paper IPM / Cognitive / 8997 |
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| Abstract: | |||||||
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A theoretical analysis of on-line autonomous intelligent adaptive tracking
controller based on emotional learning model in mammalians brain (BELBIC) for
aerospace launch vehicle is presented. The control algorithm is provided with
some sensory inputs and reward signal, subsequently it autonomously seeks the
proper control signal to be executed by actuators, thus eliminating tracking error
without pre-knowledge of the plant dynamics. The algorithm is very robust and
fast in adaptation with dynamical change in the plant, due to its on-line learning
ability. Development and application of this algorithm for an aerospace launch
vehicle during atmospheric flight in an experimental setting is presented to
illustrate the performance of the control algorithm.
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