Results 11 to 20 of about 31,952,489 (241)
Nonlinear adaptive control using non-parametric Gaussian Process prior models [PDF]
, 2002 Nonparametric Gaussian Process prior models, taken from Bayesian statistics methodology are used to implement a nonlinear adaptive control law. The expected value of a quadratic cost function is minimised, without ignoring the variance of the model ...
Sbarbaro, D. +3 more
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A Historical Perspective of Adaptive Control and Learning [PDF]
Annual Reviews in Control, 2021 This article provides a historical perspective of the field of adaptive control over the past seven decades and its intersection with learning. A chronology of key events over this large time-span, problem statements that the field has focused on, and ...
A. Annaswamy, Alexander L. Fradkov
semanticscholar +1 more source
Annual Reviews in Control, 2022 Neuromodulation is central to the adaptation and robustness of animal nervous systems. This paper explores the classical paradigm of indirect adaptive control to design neuromodulatory controllers in conductance-based neuronal models. The adaptive control of maximal conductance parameters is shown to provide a methodology aligned with the central ...
Raphael Schmetterling +2 more
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Adaptive Control and Intersections with Reinforcement Learning
Annu. Rev. Control. Robotics Auton. Syst., 2023 This article provides an exposition of the field of adaptive control and its intersections with reinforcement learning. Adaptive control and reinforcement learning are two different methods that are both commonly employed for the control of uncertain ...
A. Annaswamy
semanticscholar +1 more source
On gain adaptation in adaptive control [PDF]
IEEE Transactions on Automatic Control, 2003 The adaptive high-gain output feedback strategy u(t)=-k(t)y(t), (d/dt)k(t)=/spl par/y(t)/spl par//sup 2/ is well established in the context of linear, minimum-phase, m-input m-output systems (A, B, C) with the property that spec(CB)/spl sub//spl Copf//sub +/; the strategy applied to any such linear system achieves the performance objectives of: 1 ...
Achim Ilchmann, Eugene P. Ryan
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Adaptive Control for Systems With Time-Varying Parameters
IEEE Transactions on Automatic Control, 2021 This article investigates the adaptive control problem for systems with time-varying parameters using the so-called congelation of variables method. First, two scalar examples to illustrate how to deal with time-varying parameters in the feedback path ...
Kai-Wen Chen, A. Astolfi
semanticscholar +1 more source
Robust Adaptive Control Barrier Functions: An Adaptive and Data-Driven Approach to Safety
IEEE Control Systems Letters, 2021 A new framework is developed for control of constrained nonlinear systems with structured parametric uncertainty. Forward invariance of a safe set is achieved through online parameter adaptation and data-driven model estimation.
B. Lopez, J. Slotine, J. How
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Adaptive Control Variates [PDF]
Proceedings of the 2004 Winter Simulation Conference, 2004., 2005 Adaptive Control ...
Kim, S., Henderson, S. G.
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Control Theory for Physicists, 1993 Adaptive control is the attempt to " redesign " the controller while online, by looking at its performance and changing its dynamic in an automatic way. Adaptive control is that feedback law that looks at the process and the performance of the controller
Chang-Chieh Hang, Tong H. Lee, W. K. Ho
semanticscholar +1 more source
An application of adaptive fault-tolerant control to nano-spacecraft [PDF]
, 2014 Since nano-spacecraft are small, low cost and do not undergo the same rigor of testing as conventional spacecraft, they have a greater risk of failure.
Biggs, James +5 more
core +2 more sources