51. |
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52. |
- Åström, Karl Johan
(creator_code:cre_t)
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Anordning för alstring av ett artificiellt tröghetsmoment hos ett roterbart anordnat system
- 1964
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Patent (other academic/artistic)abstract
- Swedish patent nr 189939. "Anordning för alstring av ett artificiellt tröghetsmoment hos ett roterbart anordnat system". (Device for creating an artificial moment of inertia in a rotating system.) Co-inventor Folke Hector Philips. Granted January 16 1964. Patent also granted in England, France, Holland, Canada, Germany, USA, Austria, Japan. This patent describes a new way of implementing Schuler tuning in an inertial guidance system. Systems have been built for military applications.
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53. |
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54. |
- Åström, Karl Johan
(author)
-
Användning av siffermaskiner för syntes och realisering av regleringssystem : Föredrag vid NordSAM 63
- 1963
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Reports (other academic/artistic)abstract
- Denna rapport ger en översikt av linjär optimal stokastisk kontroll. De fundamentala problemen formuleras och de centrala resultaten gives, utan bevis men med utförliga fysikaliska tolkningar. Användandet av siffermaskiner både för syntes och implementering behandlas. Vidare diskuteras några praktiska problem förenade med det optimala systemets realisering: val av samplingstid, reelltidsberäkning eller tabelluppslagning, adaptiv eliminering av tillfälliga mätfel.
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55. |
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56. |
- Åström, Karl Johan, et al.
(author)
-
Automatic Construction of Linear Stochastic Dynamic Models For Stationary Industrial Processes with Random Disturbances Using Operating Records
- 1965
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Reports (other academic/artistic)abstract
- We describe a new technique for automatic identification of stationary, linear systems with a single output. This class of models includes all linear, time-invariant, stochastic, difference equations driven by arbitrary inputs and having stationary, normal disturbances with rational spectra.The parameters of the model are estimated by the method of maximum likelihood. A numerical algorithm for solving the likelihood equations is presented. The algorithm is essentially a modified Newton-Raphson algorithm, which takes advantage of the particular structure of the problem.Conditions for consistency and asymptotic efficiency of the estimates are given for increasing sample length. It is shown that these properties are exclusively determined by the information matrix. An estimate of the latter is obtained without additional computations. The information matrix also yields an estimate of the accuracy of the estimates in each. case.The approach has been tested on artificially generated input/output data. It is also immediately applicable to power spectrum analysis of time series, having advantages over ordinary non-parametric methods in that it always gives a non-negative estimate without the problems of trend removal and of the choice of spectral windows turning up.The basic idea can be extended to larger classes of systems. Also the identification is easily done recursively, which implies that the method is well suited for real time modelling.
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57. |
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58. |
- Åström, Karl Johan
(author)
-
Computer Control of a Paper Machine : An Application of Linear Stochastic Control Theory
- 1967
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In: IBM Journal of Research and Development. - : IBM. - 2151-8556 .- 0018-8646. ; 11:4, s. 389-405
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Journal article (peer-reviewed)abstract
- This paper describes an attempt to apply linear optimal control theory to computer control of an industrial process. The applicability of the theory is discussed. Particular attention is given to the problem of obtaining a mathematical model of process dynamics and disturbances. Results of actual measurements as well as results from on-line control experience are presented.
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59. |
- Åström, Karl Johan
(author)
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Control Problems in Papermaking
- 1964
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In: Proceedings of the IBM Scientific Computing Symposium of Control Theory and Applications. ; , s. 135-167
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Conference paper (peer-reviewed)
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60. |
- Åström, Karl Johan, et al.
(author)
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Control Strategy Design -- New Methods in Operation
- 1966
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In: Integrated Control of a Paper Machine.
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Book chapter (other academic/artistic)abstract
- This report describes a method developed for the synthesis of computer algorithms for optimal steady state control of dynamic, industrial processes with unknown characteristics -- a procedure involving automated model construction. Also included is a discussion of how the method was applied to the construction of control laws for steady state control of basis weight, moisture content and refining on a paper machine.
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