Adaptive Control

By K. Åström, Björn Wittenmark. 1989

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Citations in the corpus

Research Priorities for Robust and Beneficial Artificial Intelligence (2015, background): “Work in adaptive control theory (Åström and Wittenmark 2013), the theory of so-called cyberphysical systems (Platzer 2010), and verification of hybrid or robotic”
Reinforcement learning in robotics: A survey (2013, methodology): “Experience collected in the real world can be used to learn a forward model (Åström and Wittenmark, 1989) from data.”
Gaussian Processes for Data-Efficient Learning in Robotics and Control (2015, background): “Controlling systems under parameter uncertainty has been investigated for decades in robust and adaptive control [35], [4].”
A Stability Study of the Active Disturbance Rejection Control Problem by a Singular Perturbation Approach (2009, background): “To this end, two technology upgrades, figuratively speaking, are offered in the modern control framework: adaptive control ([1]) and robust control theory ([31]).”
Analysis, Modeling and Control of Doubly-Fed Induction Generators for Wind Turbines (2005, methodology): “Another anti-windup method can be found in [62].”
Optimism-driven exploration for nonlinear systems (2015, background): “Such tasks arise in robotics, where time constraints, safety, and wear-and-tear place stringent limits on the amount of system interaction allowed [1], as well as adaptive control, where the dynamics change unpredictably and the controller must adapt online [2].”
Dither for smoothing relay feedback systems (2003, background): “Indeed, discontinuous nonlinearities in feedback control systems with high-frequency excitations appear in a large variety of models, including systems with adaptive control [4], friction [5, 6], power electronics [7], pulse-width modulated converters [8], quantizers [9], relays [10], and variable-s”