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Andrew R. Teel
Researcher at University of California, Santa Barbara
Publications - 570
Citations - 34601
Andrew R. Teel is an academic researcher from University of California, Santa Barbara. The author has contributed to research in topics: Exponential stability & Lyapunov function. The author has an hindex of 81, co-authored 562 publications receiving 31462 citations. Previous affiliations of Andrew R. Teel include University of Minnesota & University of Melbourne.
Papers
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Hybrid dynamical systems
TL;DR: In this paper, the authors present a tutorial on modeling the dynamics of hybrid systems, on the elements of stability theory for hybrid systems and on the basics of hybrid control, focusing on the robustness of asymptotic stability to data perturbation, external disturbances and measurement error.
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Small-gain theorem for ISS systems and applications
TL;DR: This work addresses the problem of global asymptotic stabilization via partial-state feedback for linear systems with nonlinear, stable dynamic perturbations and for systems which have a particular disturbed recurrent structure.
Book
Hybrid Dynamical Systems: Modeling, Stability, and Robustness
TL;DR: This book presents a complete theory of robust asymptotic stability for hybrid dynamical systems that is applicable to the design of hybrid control algorithms--algorithms that feature logic, timers, or combinations of digital and analog components.
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Global stabilization and restricted tracking for multiple integrators with bounded controls
TL;DR: In this paper, a nonlinear combination of saturation functions of linear feedbacks is proposed to stabilize a chain of integrators of arbitrary order, where the saturation function is a linear near the origin of the input.
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Networked Control Systems With Communication Constraints: Tradeoffs Between Transmission Intervals, Delays and Performance
TL;DR: A newly developed NCS model including all these network phenomena is provided, including communication constraints, to provide an explicit construction of a continuum of Lyapunov functions that guarantee stability of the NCS in the presence of communication constraints.