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Robust Adaptive Dynamic Programming
, 2017 A comprehensive look at state-of-the-art ADP theory and real-world applications This book fills a gap in the literature by providing a theoretical framework for integrating techniques from adaptive dynamic programming (ADP) and modern nonlinear control ...
Yu Jiang, Zhong‐Ping Jiang
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IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 2002
Unlike the many soft computing applications where it suffices to achieve a "good approximation most of the time," a control system must be stable all of the time. As such, if one desires to learn a control law in real-time, a fusion of soft computing techniques to learn the appropriate control law with hard computing techniques to maintain the ...
Murray, J.J. +3 more
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Unlike the many soft computing applications where it suffices to achieve a "good approximation most of the time," a control system must be stable all of the time. As such, if one desires to learn a control law in real-time, a fusion of soft computing techniques to learn the appropriate control law with hard computing techniques to maintain the ...
Murray, J.J. +3 more
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Adaptive Dynamic Programming: An Introduction
IEEE Computational Intelligence Magazine, 2009In this article, we introduce some recent research trends within the field of adaptive/approximate dynamic programming (ADP), including the variations on the structure of ADP schemes, the development of ADP algorithms and applications of ADP schemes.
Fei-Yue Wang 0001 +2 more
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Hamiltonian-Driven Hybrid Adaptive Dynamic Programming
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021This article presents a model-based hybrid adaptive dynamic programming (ADP) framework consisting of continuous feedback-based policy evaluation and policy improvement steps as well as an intermittent policy implementation procedure. This results in an intermittent ADP with a quantifiable performance and guaranteed closed-loop stability of the ...
Yongliang Yang 0001 +4 more
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A Dynamically Adapting Network Programming Framework
2011 ACM/IEEE Seventh Symposium on Architectures for Networking and Communications Systems, 2011High speed networking is a demanding task that has traditionally been performed in dedicated, purpose built hardware or specialized network processors. These platforms sacrifice ?exibility or programmability in favor of performance. Recently, there has been much interest in using multi-core general purpose processors, which have the advantages of being
Ben Wun, Mike Wilson, Patrick Crowley
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Discrete-Time Impulsive Adaptive Dynamic Programming
IEEE Transactions on Cybernetics, 2020In this paper, a new iterative adaptive dynamic programming (ADP) algorithm is developed to solve optimal impulsive control problems for infinite horizon discrete-time nonlinear systems. Considering the constraint of the impulsive interval, in each iteration, the iterative impulsive value function under each possible impulsive interval is obtained, and
Qinglai Wei +4 more
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Dynamically adaptive parallel programs
1999Dynamic program optimization is the only recourse for optimizing compilers when machine and program parameters necessary for applying an optimization technique are unknown until runtime. With the movement toward portable parallel programs, facilitated by language standards such as OpenMP, many of the optimizations developed for high-performance ...
Michael Voss, Rudolf Eigenmann
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