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Petar Kokotovic

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Petar Kokotovic
NamePetar Kokotovic
FieldsControl theory, Mathematics, Electrical engineering
InstitutionsUniversity of California, Santa Barbara, Washington University in St. Louis
Alma materUniversity of Belgrade
Known forControl theory, Nonlinear control, Adaptive control

Petar Kokotovic is a renowned scientist in the field of Control theory, with significant contributions to Nonlinear control and Adaptive control. His work has been influenced by notable figures such as Aleksandr Lyapunov, Andrey Kolmogorov, and Norbert Wiener. Kokotovic's research has been applied in various fields, including Aerospace engineering, Robotics, and Process control, with collaborations with institutions like NASA, MIT, and Stanford University. His academic background is rooted in Mathematics and Electrical engineering, with a strong foundation in Differential equations and Linear algebra, similar to other prominent mathematicians like David Hilbert and Emmy Noether.

Early Life and Education

Petar Kokotovic was born in Belgrade, Serbia, and completed his primary and secondary education in Yugoslavia. He pursued his higher education at the University of Belgrade, where he earned his degree in Electrical engineering. Kokotovic's academic pursuits were shaped by the works of Nikola Tesla, Michael Faraday, and James Clerk Maxwell. He later moved to the United States to further his education, attending institutions like Washington University in St. Louis and University of California, Santa Barbara, where he interacted with prominent researchers like Rudolf Kalman and John Doyle.

Career

Kokotovic's career spans several decades, with significant contributions to the field of Control theory. He has held academic positions at various institutions, including University of California, Santa Barbara and Washington University in St. Louis, where he has taught courses on Control systems, Signal processing, and System identification. His research has been supported by organizations like National Science Foundation, Defense Advanced Research Projects Agency, and Office of Naval Research, with collaborations with researchers from California Institute of Technology, Harvard University, and University of Oxford. Kokotovic has also worked with industry partners like Boeing, Lockheed Martin, and General Electric, applying his expertise in Control systems and Automation.

Research and Contributions

Petar Kokotovic's research focuses on Nonlinear control and Adaptive control, with applications in Aerospace engineering, Robotics, and Process control. His work has been influenced by the theories of Aleksandr Lyapunov and Andrey Kolmogorov, and he has collaborated with researchers like Stephen Morse and Roger Brockett. Kokotovic has made significant contributions to the development of Backstepping and Forwarding techniques, which have been applied in various fields, including Missile guidance and Autonomous vehicles. His research has also been recognized by awards from organizations like Institute of Electrical and Electronics Engineers and International Federation of Automatic Control, with connections to notable researchers like Lotfi A. Zadeh and Kumpati S. Narendra.

Awards and Honors

Throughout his career, Petar Kokotovic has received numerous awards and honors for his contributions to Control theory and Engineering. He is a fellow of the Institute of Electrical and Electronics Engineers and the International Federation of Automatic Control, and has received awards like the IEEE Control Systems Award and the IFAC Quazza Medal. Kokotovic has also been recognized by institutions like National Academy of Engineering and American Academy of Arts and Sciences, with connections to notable figures like Vint Cerf and Robert Langer. His work has been published in prestigious journals like IEEE Transactions on Automatic Control and Automatica, and he has presented at conferences like IEEE Conference on Decision and Control and IFAC World Congress, with collaborations with researchers from Massachusetts Institute of Technology, Stanford University, and University of California, Berkeley.

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