摘要:

The identifiability and identification problem of linear distributed parameter systems is studied. A parabolic distributed parameter system is approximated into a finite-dimensional model using orthogonal polynomials. The identifiability problem of the lumped model is studied. Then the problem of estimating the parameters of the finite-dimensional model is investigated, and the local uniqueness of the identified values is discussed. An illustrative example is given and good results are obtained.

ISSN:0020-7721    

DOI:10.1080/00207728908910160

出版商:Taylor & Francis Group    

年代:1989

数据来源: Taylor

摘要:

A manufacturing system with one server (machine), two classes of jobs, finite buffer sizes, and non-negligible set-up times is analysed. A cycling service discipline with a ’wait and see‘ set-up policy is invoked by the server. The state of the machine, whether in set up or in processing, is explicitly considered in the model. Utilization, mean queue length, and cycle time are derived using markovian analysis, first under a fixed lot size environment and then with random lot sizes. With lot sizes fixed, increasing arrival rates, set-up times, and service times generally increase the utilization, cycle time, and queue lengths. When lot sizes are random, there are negligible variations in the cycle time result, with somewhat smaller queue lengths compared to the fixed lot size case. An approximate mean value analysis is also developed and results are compared to those of the markovian analysis. Numerical studies show the robustness of the mean value analysis for most of the system parameters tested.

ISSN:0020-7721    

DOI:10.1080/00207728908910161

出版商:Taylor & Francis Group    

年代:1989

数据来源: Taylor