Effective construction of linear state-variable models from input/output functions.
Impact in
Classified as
- Authors
- R. E. Kalman
- Journal
- NASA Technical Reports Server (NASA)
In The Last Decade
doi.org/w33483787 →Countries where authors are citing Effective construction of linear state-variable models from input/output functions.
This map shows the geographic impact of Effective construction of linear state-variable models from input/output functions.. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Effective construction of linear state-variable models from input/output functions. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Effective construction of linear state-variable models from input/output functions. more than expected).
Fields of papers citing Effective construction of linear state-variable models from input/output functions.
This network shows the impact of Effective construction of linear state-variable models from input/output functions.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Effective construction of linear state-variable models from input/output functions..
About Effective construction of linear state-variable models from input/output functions.
This paper, published in 1965, received 578 indexed citations . Written by R. E. Kalman covering the research area of Control and Systems Engineering. It is primarily cited by scholars working on Control and Systems Engineering (376 citations), Civil and Structural Engineering (183 citations), Statistical and Nonlinear Physics (95 citations), Statistics, Probability and Uncertainty (86 citations) and Artificial Intelligence (84 citations). Published in NASA Technical Reports Server (NASA).
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This paper is also available at doi.org/w33483787.