Abstract: The problem of closed-loop subspace identification for continuous-time models from sampled data directly is considered.Combining subspace identification based on principal component analysis and linear filter method,a novel closed-loop subspace identification algorithm for continuous-time model is proposed by using the orthogonal projection variable of high order filter transform of reference inputs or exogenous inputs.The identification performance of the proposed algorithms is illustrated by numerical simulation comparing with other algorithms.