| Citation | Cecil H. & Ida Green Chair, The University of Texas at Dallas
Vidyasagar has made outstanding contributions to control and systems theory and statistical learning. His solution for maximally robust controllers has had a profound impact on linear control theory. He developed the feedback linearization approach to nonlinear control, and provided a general separation principle for nonlinear control, and provided a general separation principle for nonlinear systems. His notion of inverse dynamics feedback converted highly nonlinear equations describing robot motion into decoupled linear equations, and he extended the theory of rigid robots to flexible robots. He has combined probability theory, combinatorics, and artificial intelligence to produce a beautiful unified theory of statistical learning, and used it to solve NP-hard design problems.
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