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基于梯度优化思想，提出了一种简便的、可同时估计时滞未知系统时滞和参数的辨识算法，并用Lyapunov稳定性定理严格证明了该算法的收敛性。理论推导和仿真试验结果均表明了该算法的有效性。
Based on the idea of gradient optimization, a simple and easily identifiable algorithm for simultaneous estimation of delay and parameters in a time-delay unknown system is proposed. The convergence of the algorithm is strictly proved by the Lyapunov stability theorem. Theoretical derivation and simulation results show the effectiveness of the proposed algorithm.