Rudolph (Rudy) Emil Kalman ( Budapest , May 19 1930 ) is a Hungarian-American electrical engineer and mathematician . He is known as the co-inventor of the Kalman filter , a mathematical technique that is used to include navigation of aircraft to filter signals.

Biography edit ]Edit

Kálmán, born in Romania in 1943 emigrated to the United States . He studied electrical engineering at the Massachusetts Institute of Technology , where he earned his master's bachelor's degree and one year later in 1953. He graduated in 1957 at the Columbia University in New York City . After graduating he was employed as a staff engineer at the IBM research laboratory inPoughkeepsie .

From 1958 to 1964 worked as a research mathematician at the Kálmán Research Institute of Advanced Studies (RIAS) in Baltimore . Then he was until 1971 a professor at Stanford Universityand in 1992 Graduate Research Professor and Director of the Center for Mathematical System Theory at the University of Florida . From 1973 he also held the Chair in Mathematical System Theory at the Swiss Eidgenössische Technische Hochschule Zürich .

Kálmán is a member of the Institute of Electrical and Electronics Engineers (IEEE), the U.S. National Academy of Sciences , the American National Academy of Engineering and the American Academy of Arts and Sciences . He is a foreign member of the Hungarian, French and Russian Science Academies. He was awarded many honorary degrees. In 1974 he received the IEEE Medal of Honor , the IEEE Centennial Medal (1984), the Kyoto Prize in technology [1] (1985), the Steele Prize from the American Mathematical Society (1986), the Richard E. Bellman Control Heritage Award (1997) and the Charles Stark Draper Prize (2008) of the National Academy of Engineering. In 2009 he was called by President Barack Obama awarded the National Medal of Science .

Work edit ]Edit

Kálmán is best known as the co-inventor of the eponymous Kalman filter, a mathematical technique that is widely used in digital computers for control, navigation and aerospace systems. It removes a signal of a long sequence of random disturbances (noise) and / or repaired technically incomplete measurements.

His ideas about filtering were initially adopted by some skeptical, so he had to do instead of an electrical or system engineering journal. The first publication of his results in an engineering journal [2] His Kalman filter can be applied in both unmanned and manned aerospace vehicles, including the Apollo and space shuttle program , in submarines and cruise missiles .

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