초록 ▼

A tuned run-to-run controlled system is disclosed that provides tuned run-to-run control of a system. The system includes a controlled system coupled to a tuned run-to-run controller, which contains a feedback controller coupled to a tuner. Tuned run-to-run controller determines a feedback command b

A tuned run-to-run controlled system is disclosed that provides tuned run-to-run control of a system. The system includes a controlled system coupled to a tuned run-to-run controller, which contains a feedback controller coupled to a tuner. Tuned run-to-run controller determines a feedback command based on a nominal gain, a maximum gain, a process error, and a tuning gain.

대표청구항 ▼

A tuned run-to-run controlled system is disclosed that provides tuned run-to-run control of a system. The system includes a controlled system coupled to a tuned run-to-run controller, which contains a feedback controller coupled to a tuner. Tuned run-to-run controller determines a feedback command b

A tuned run-to-run controlled system is disclosed that provides tuned run-to-run control of a system. The system includes a controlled system coupled to a tuned run-to-run controller, which contains a feedback controller coupled to a tuner. Tuned run-to-run controller determines a feedback command based on a nominal gain, a maximum gain, a process error, and a tuning gain. h the correction data to obtain an improved image, the iterative process implementing the iterative calculation, fk-1=fk+pk+1 where pk+1=(I-PS)pk with the initial conditions po=pg,fo=Po where g is the measured projection data, k is an iteration index, fkis an image at iteration k, and (PS)pkis the second image. 14. The image reconstruction process as set forth in claim 13, wherein: the projection operator S is, where Bvare weighting factors, and the remaining parameters are related to the Radon transform according to Rf(θ,s)=∫gφ(s sin φ+v cos ψ,s cos ψ-v sin ψ)dv 15. A diagnostic imaging process comprising: (a) generating projection data that is weighted inversely with distance in a projection direction; (b) backprojecting the projection data into an image representation without compensating for the inverse weighting to reconstruct a flawed image representation; .COPYRGT.) forward projecting reprojected data from the flawed image representation using a plurality of additively combined Radon transforms; (d) comparing the reprojected data with the projection data; (e) generating correction data from a deviation between the reprojection data and the projection data; (f) backprojecting one of: (i) the correction data into the flawed image representation; and (ii) the correction data combined with one of the projection and reprojection data to generate a less flawed image representation; and (g) iteratively repeating steps (c)-(f) until the comparing step (d) meets a preselected closeness criteria. 16. The imaging process as set forth in claim 15, wherein: the backprojecting step (b) uses an inverse Radon transform. 17. A diagnostic imaging process comprising: generating projection data that is weighted inversely with distance in a projection direction; first backprojecting the projection data into an image representation without compensating for the inverse weighting to reconstruct a flawed image representation; forward projecting reprojected data from the flawed image representation using a projection operator S defined by: where g is the generated projection data, fkis the flawed image representation, and Bvare weighting factors, and the remaining parameters are related to the Radon transform R according to Rf(θ,s)=∫g100(s sin ψ+v cos ψ,s cos ψ-v sin ψ)dv; comparing the reprojected data with the projection data; generating correction data from a deviation between the reprojection data and the projection data; second backprojecting one of the correction data into a flawed image representation and the correction data combined with one of the projection and reprojection data to generate a less flawed image representation; and iteratively repeating the forward projecting, comparing, generating, and second backprojecting until the comparing meets a preselected closeness criteria. 18. The imaging process as set forth in claim 15, wherein the projection data generating step includes: introducing a radiation source into a subject; collimating radiation from the source into planes; detecting the radiatio