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Observer design

Sample reduction in successive stages—primaiy to secondaiy, secondary to tertiary etc.—can be fulfilled using automatic sampling equipment while observing design principles of statistical sampling. Alternatively, sample quantity reduction may be carried out in a lab-oratoiy. [Pg.1761]

The problem of observer design is essentially the same as the regulator pole plaeement problem, and similar teehniques may be used. [Pg.256]

Full-order observer design using pole placement A=[0 l -2 -3]... [Pg.406]

We have the very important result that choices for the eigenvalues for the pole-placement design and the observer design can be made independently. Generally, we want the observer response to be two to five times faster than the system response. We should not have to worry about saturation since the entire observer is software-based, but we do have to consider noise and sensitivity problems. [Pg.183]

M. Soroush. Nonhnear state-observer design with applications to reactors. Chem. Eng. Sci., 52(3) 387-404, 1987. [Pg.32]

Figures 57 and 58 shows the estimation results for the intervals of the unmeasured states Cti and Z. Notice how the interval bounds estimated by the interval observer envelop correctly these unmeasured states. For all the other unmeasured states, notice that although the interval observer design did not allow us to tune the convergence rate, the interval observer showed excellent robustness and stability properties and provided satisfactory estimation results in the event of highly corrupted measurements and operational failures. Notice in particular, the robustness of the interval observer around day 25 when the inlet concentrations drastically increased and when a major disturbance occurred at day 31, due to an operational failure, resulting in a rapid fall of both, the dilution rate (which actually fell to zero) and the substrate concentration readings. Off-line readings of Cti and Z (not used in the state estimation calculations) were also added to validate the proposed interval observer design (see Figures 57 and 58). It should be noticed that the compromise between the convergence rate and robustness was not fully achieved until the estimation error dynamics reached the steady state. Figures 57 and 58 shows the estimation results for the intervals of the unmeasured states Cti and Z. Notice how the interval bounds estimated by the interval observer envelop correctly these unmeasured states. For all the other unmeasured states, notice that although the interval observer design did not allow us to tune the convergence rate, the interval observer showed excellent robustness and stability properties and provided satisfactory estimation results in the event of highly corrupted measurements and operational failures. Notice in particular, the robustness of the interval observer around day 25 when the inlet concentrations drastically increased and when a major disturbance occurred at day 31, due to an operational failure, resulting in a rapid fall of both, the dilution rate (which actually fell to zero) and the substrate concentration readings. Off-line readings of Cti and Z (not used in the state estimation calculations) were also added to validate the proposed interval observer design (see Figures 57 and 58). It should be noticed that the compromise between the convergence rate and robustness was not fully achieved until the estimation error dynamics reached the steady state.
D. Bestle and M. Zeitz. Canonical form observer design for nonlinear time-variable systems. Int. J. Control, 38(2) 419-431, 1983. [Pg.161]

A.N. Atassi and H.K. Khalil. Separation results for the stabilization of nonlinear systems using different high-gain observer designs. Systems Control Lett., 39 183-191, 2000. [Pg.197]

Studies in the control of tubular reactors-III Stabilization by observer design (with C. Georgakis and N.R. Amundson). Chem. Eng. ScL 32, 1381-1387 (1977). [Pg.460]

O. M. Aamo, G. O. Eikrem, H. Siahaan, and B. Foss, "Observer Design for Gas Lifted Oil Wells", American Control Conference, ACC, Boston, Massachusetts, USA, 2004. [Pg.386]

OH groups, as illustrated in Scheme 33A. The resultant Si group can be examined by means of solid state 29Si NMR spectroscopy [297,636]. Results of such experiments are shown in Table 51. Four aluminopho-sphate supports, varying in P/A1 ratio, were allowed to react with hex-amethyldisilizane. Two distinct NMR peaks were observed, designated in the table as peaks A and B. [Pg.424]

Enzyme Mutant Observation Design possible explanation... [Pg.504]

State vector of the system Transition matrix (system matrix) Vector of the observations Design matrix Noise of the system Noise of the observations... [Pg.135]

In an incident-user design, cohort entry is defined as patients start of therapy and is the observational design most similar to a randomized trial design, although treatment is not randomly assigned. This design eliminates many of the potential biases described earlier as the start time for exposure is known for each cohort member and all early events can be included in the analysis. The potential confounders are measured at cohort entry (prior to the start of therapy). [Pg.128]

Observational study. A type of study design in which the exposure of study participants is observed and compared. Study participants are not subject to any interventions by the investigators. Typical observational designs include case-series, case-control studies and cohort studies. [Pg.741]


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See also in sourсe #XX -- [ Pg.256 ]




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