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    Closed-loop Systems use feedback where a portion of the output signal is fed back to the input to reduce errors and improve stability. Systems in which the output quantity has no effect upon the input to the control process are called open-loop control systems, and that open-loop systems are just that, open ended non-feedback systems.

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    The short-term traffic flow prediction is of great importance for traffic control and guidance. This presents an approach using a Sugeno fuzzy inference system whose input space is participated by a Gaussian mixture model and parameters are estimated by the least square estimation method.

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