Tamer Başar
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Tamer Başar
Mustafa Tamer Başar (born January 19, 1946) is a control and game theorist who is the ''Swanlund Endowed Chair'' and Center for Advanced Study Professor of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign, USA. He is also the Director of the Center for Advanced Study (since 2014). Education Tamer Başar received a B.S. in Electrical Engineering from Boğaziçi University ''(formerly known as Robert College)'' at Bebek, in Istanbul, Turkey, in 1969, and M.S., M.Phil., and Ph.D. in engineering and applied science from Yale University, in 1970, 1971 and 1972, respectively. Academic life He joined the University of Illinois at Urbana–Champaign - Electrical and Computer Engineering Department in 1981. He was the founding president of the International Society of Dynamic Games during 1990–1994, the president of the IEEE Control Systems Society in 2000, and the president of the American Automatic Control Council during 2010–2011. ...
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National Academy Of Engineering
The National Academy of Engineering (NAE) is an American Nonprofit organization, nonprofit, NGO, non-governmental organization. It is part of the National Academies of Sciences, Engineering, and Medicine (NASEM), along with the National Academy of Sciences (NAS) and the National Academy of Medicine (NAM). The NAE operates engineering programs aimed at meeting national needs, encourages education and research, and recognizes the superior achievements of engineers. New members are annually elected by current members, based on their distinguished and continuing achievements in original research. The NAE is autonomous in its administration and in the selection of its members, sharing with the rest of the National Academies the role of advising the federal government. History The National Academies of Sciences, Engineering, and Medicine#History, National Academy of Sciences was created by an Act of Incorporation dated March 3, 1863, which was signed by then president of the United ...
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Minimax Estimator
In statistical decision theory, a minimax estimator \delta^M \,\! is an estimator which performs best in the worst possible case allowed in a problem. With problems of estimating a deterministic parameter (vector) \theta \in \Theta from observations x \in \mathcal, an estimator (estimation rule) \delta^M \,\! is called minimax if its maximal Risk function, risk is minimal among all estimators of \theta \,\!. Definition Definition : An estimator \delta^M:\mathcal \rightarrow \Theta \,\! is called minimax with respect to a risk function R(\theta,\delta) \,\! if it achieves the smallest maximum risk among all estimators, satisfying : \sup_ R(\theta,\delta^M) = \inf_\delta \sup_ R(\theta,\delta). \, Problem setup An example is the problem of estimating a deterministic (not Bayes estimator, Bayesian) parameter \theta \in \Theta from noisy or corrupt data x \in \mathcal related through the conditional probability distribution P(x\mid\theta)\,\!. The goal is to find a "good" estimato ...
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