Emotional Learning to Control Large-scale Systems
نویسندگان
چکیده
In this paper, with a new look at emotional controller and modifying its structure; a novel approach to hierarchical control of large-scale systems is introduced. Design of controller is founded on emotional learning and the control system consists of neuro-fuzzy controller, whose weights are updated according to emotional signals. This signal is produced in a block called critic, whose job is to evaluate system behaviour. Simulation results demonstrate that the proposed learning scheme, which is applied to a nonlinear three-tank system, provides better control reliability and robustness than classic robust schemes. Copyright © 2005 IFAC
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