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.
Papers
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Journal ArticleDOI
Discrete-time adaptive control of plants with unknown output dead-zones
Gang Tao,Petar V. Kokotovic +1 more
TL;DR: The proposed controller structure results in a linear parametrization which is crucial for developing adaptive update laws and it is proved the signal boundedness for the closed-loop system, and for a special case it is established asymptotic tracking.
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An asymptotic error analysis of identifiers and adaptive observers in the presence of parasitics
TL;DR: The adaptive schemes considered are shown to be robust provided the input signal is rich for the dominant modes, but does not contain high frequencies in the parasitic range.
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CLF based designs with robustness to dynamic input uncertainties
TL;DR: In this article, the authors provide a sufficient condition for domination redesign to apply, which relies on properties of local homogeneous approximations of the system and of the control Lyapunov function.
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Eigenvalue Placement in Two-Time-Scale Systems
Joe H. Chow,Petar V. Kokotovic +1 more
TL;DR: In this paper, a matrix norm condition is given under which the large eigenvalues of a two-time scale system will be sufficiently separated from the small eigen values, and a feedback control design is proposed in which two gain matrices are used for separate placement of small and large values.
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Optimal control of bacterial growth
TL;DR: In this paper, a stabilizing feedback control for Haldane-Monod model of microbial growth is designed for stabilizing the growth of a set of microorganisms, which is optimal in the sense that it approaches the maximum production steady state from any initial state.