Computer control of a paper machine: an application of linear stochastic control theory
IBM Journal of Research and Development
A new computing technique in system identification
Journal of Computer and System Sciences
Comparison of six on-line identification algorithms
Automatica (Journal of IFAC)
Survey of applications of identification in chemical and physical processes
Automatica (Journal of IFAC)
A computational approach to the combined problem of optimization and parameter identification
Automatica (Journal of IFAC)
System identification-A survey
Automatica (Journal of IFAC)
Simultaneous identification and control
Automatica (Journal of IFAC)
Hi-index | 22.15 |
There are many concepts of system identification, and in this paper a comparison is made between different approaches based primarily on experimental identification with respect to the criteria of optimality selected for achieving identification, the mathematical models considered, the computing techniques used, and the kind and form of the input signal selected. Linear, non-linear, dynamic, and noisy systems are considered as well as adaptive models and stochastic approximations. It is concluded that although significant progress in system identification has been made, many problems remain, and among them is the determination of modeling accuracy especially for non-linear, noisy systems.