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中文摘要：
系统辨识的成功实施，应建立在系统的可控、可观测和可辨识性3个基本条件之上．通过构建新的状态空间变量，将岩土材料流变本构模型这种典型的SISO线性定常系统模型转换为状态空间描述，证明了该模型的可控性和可观测性矩阵均为满秩阵，因而是完全可控可测的．然后，利用CHNN的优化计算能力，探索了一种流变本构模型可辨识的新的有效途径，获得相关的辨识算法，并用Matlab软件开发了相应的辨识程序．有关考题验证表明，该辨识算法成功可行．表2，参9．
英文摘要：
Three basic conditions of the controllability, obse rvability and identifiability must be met so as to successfully identify the system. A new state-space vector was built to change the typical single-input-single-output linear stationary system model of the rheological constitutive model of the geotechnical material into its state-space representation, it was proved that the model was completely controllable and observable because its controllability and observability matrices were the filled ones. Then based on the optimization computing capability of Hopfield Neural Networks, a new effective method was discussed to identify the theological constitutive model and its corresponding identification algorithm was gained. For the algorithm was programmed on the base of MATLAB software. The result shows that the identification method is successful and executive. 2tabs., 9refs.
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