By Enso Ikonen
Complicated procedure id & keep an eye on КНИГИ ;НАУКА и УЧЕБА Автор: Kaddour NajimНазвание: complicated strategy identity & ControlИздательство: CRC PressГод: 2001Страниц: 632Формат: PDFISBN-10: 082470648XЯзык: АнглийскийРазмер: 11.64 MBPresents the newest recommendations in complicated procedure modeling, id, prediction, and parameter estimation for the implementation and research of business structures. obtain replicate zero 1 2 three four five
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Additional info for Advanced Process Identification & Control
In order to maintain numerical accuracy it is more advisable to update the estimator in a factorized form which guarantees that P (k) remains positive definite and that the roundoff errors, unavoidablein computerapplications, do not affect the solution significantly. Oneof the most popular methodsis the UDfactorization which is based on the decompositionof P (k) P (k) = V (k) D UT (k) where the factors U (k) and D (k) are, respectively, a unitary upper triangulax matrix and a diagonal matrix. 113) TLFeBOOK 34 CHAPTER 2.
185) An advantage of the Kalmanfilter approach, comparedto the least squares algorithm with exponential forgetting, is that the nature of the parameter changes can be easily incorporated, and interpreted as the covariance matrix V. TLFeBOOK Chapter 3 Linear Dynamic Systems In this chapter, our attention is focused on the discrete-time black-box modeling of linear dynamic systems. This type of model is commonlyused in process identification, and is essential in digital process control. Fromthe point of view of control, the simplicity of black-box modelshas established them as a fundamentMmeansfor obtaining input-output representations of processes.
51) where H is the effective heat value[-~-~ MJ ] and h0 is due to losses. Basedon the data, let us determine the least squares estimate of the effective heat value of the fuel. TLFeBOOK 24 CHAPTER 2. 1: Least squares estimate of the heat value. 7997 i8 the least square8 estimate of the effective heat value of the fuel. Fig. 1 8how8the data point8 (dots) and the estimated linear relation (8olid line). Example 9 (02 dynamics) From an FBC plant ~ (see Appendix B), ][Nm fuel feed Qc [~] and flue gas oxygencontent CFt~--’~ 1 were measuredwith a sampling interval of 4 seconds.