P
Petar V. Kokotovic
Researcher at University of California, Santa Barbara
Publications - 354
Citations - 41962
Petar V. Kokotovic is an academic researcher from University of California, Santa Barbara. The author has contributed to research in topics: Nonlinear system & Adaptive control. The author has an hindex of 83, co-authored 354 publications receiving 40395 citations. Previous affiliations of Petar V. Kokotovic include Washington State University & University of Illinois at Urbana–Champaign.
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Journal ArticleDOI
Paper: Decentralized adaptive control of interconnected systems with reduced-order models
TL;DR: The adaptive control of interconnected systems whose subsystems possess slow and fast modes is investigated in the presence of external disturbances and an approach is developed for stabilization and tracking using decentralized adaptive controllers with modified adaptive laws.
Proceedings ArticleDOI
Optimal nonlinear controllers for feedback linearizable systems
TL;DR: A new class of controllers for dynamic feedback linearizable systems which achieve asymptotic tracking of given state reference trajectories is presented, characterized by a formula whose design parameters directly describe the trade-off between control effort and tracking error.
Optimal nonlinear controllers for feedback linearizable systems
TL;DR: In this paper, a new class of controllers for dynamic feedback linearizable systems which achieve asymptotic tracking of given state reference trajectories is presented, characterized by a formula whose design parameters directly describe the trade-off between control effort and tracking error.
Journal ArticleDOI
Robustness of adaptive nonlinear control to bounded uncertainties
TL;DR: Two robust adaptive control methods are outlined for a class of nonlinear systems that guarantee robustness with respect to bounded uncertainties and exogenous disturbances, and L ∞ / L 2 estimates are given on the effects of these uncertainties/disturbances on the tracking error.
Journal ArticleDOI
Adaptive nonlinear output-feedback schemes with Marino-Tomei controller
TL;DR: Three new adaptive nonlinear output-feedback schemes are presented, each employing a novel estimation-based design consisting of a strengthened controller-observer pair and observer-based and swapping-based identifiers to allow a systematic improvement of transient performance.