A.R. Mehrabian∗ and C. Lucas∗∗
Intelligent systems, autopilot, emotion, adaptive systems, non-linear control
This paper presents a new intelligent approach for adaptive con- trol of non-linear dynamic systems. Based on past researches on emotionally intelligent-control systems, the introduced method is a modified version of Brain Emotional Learning Based Intelligent Controller (BELBIC), a physiologically motivated system previously developed and successfully used in control applications. The pro- posed approach is able to quickly respond to change in environmen- tal and dynamic system and realizes online direct-adaptive-control scheme. Showing very good robustness, BELBIC is very simple in implementation and imposes very low computation load on the con- trol system. This modified algorithm has been successfully applied to real-time longitudinal control of an agile air-to-air missile which has ever-changing non-linear dynamics.
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