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Based on the multi-innovation least squares algorithm and the optimal Kalman filtering method, a new multi-innovation self-tuning Kalman filtering algorithm is presented for systems with unknown model parameters. It avoids the flaw of classical Kalman filter which needs to accurately know the model parameter in system. A simulation example shows its effectiveness.

Multi-innovation Self-tuning Kalman Filter with Unknown Parameters Systems