Presented in this paper is a Recursive Least Squares (RLS) based algorithm for system identification of Linear Parameter-Varying (LPV) systems. An identification method based on the input-output representation of LPV systems is employed, where the coefficients of the model depend on external parameters assumed to be measurable in real-time. The identification problem is reduced to a problem of linear regression. Application of the proposed method to a quasi-LPV system developed from an intake manifold model of a spark ignition (SI) engine is demonstrated. Simulations performed using the GT-Power simulation tool and experiments performed on a 5.4-L V8 spark-ignition engine are used validate the accuracy of the proposed method.

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