Statistical identification for optimal control of supercritical thermal power plants
Automatica (Journal of IFAC)
Identification of processes in closed loop-identifiability and accuracy aspects
Automatica (Journal of IFAC)
Paper: A new ship's auto pilot design through a stochastic model
Automatica (Journal of IFAC)
Frequency-domain approach to the regulation of linear stochastic systems
Automatica (Journal of IFAC)
Computational Statistics & Data Analysis
Hi-index | 22.15 |
A fully computerized cement rotary kiln process control was tested in a real production line and the results are presented in this paper. The controller design was based on the understanding of the process behavior obtained by careful statistical analyses, and it was realized by using a very efficient statistical identification procedure and the orthodox optimal controller design by the statespace method. All phases of analysis, design and adjustment during the practical application are discussed in detail. Technical impact of the success of the control on the overall kiln installation is also discussed. The computational procedure for the identification is described in an Appendix.