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Adaptive Feedback Control by Constrained Approximate Dynamic Programming
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2008A constrained approximate dynamic programming (ADP) approach is presented for designing adaptive neural network (NN) controllers with closed-loop stability and performance guarantees. Prior knowledge of the linearized equations of motion is used to guarantee that the closed-loop system meets performance and stability objectives when the plant operates ...
Silvia Ferrari +2 more
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An Adaptation of Dynamic Slicing Techniques for Logic Programming
1998Program slicing is a process by means of which subparts of a program with a collective meaning are automatically obtained. When the slicing takes into account the actual execution of the program, it is said to be dynamic. We show how some techniques for dynamic slicing of procedural languages can be adapted to logic programming.
Wamberto Weber Vasconcelos +1 more
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Robust Adaptive Dynamic Programming With an Application to Power Systems
IEEE Transactions on Neural Networks and Learning Systems, 2013This brief presents a novel framework of robust adaptive dynamic programming (robust-ADP) aimed at computing globally stabilizing and suboptimal control policies in the presence of dynamic uncertainties. A key strategy is to integrate ADP theory with techniques in modern nonlinear control with a unique objective of filling up a gap in the past ...
Yu Jiang 0003, Zhong-Ping Jiang
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Adaptive Dynamic Programming for Flight Control
2023Adaptive dynamic programming (ADP) is a sub-field of approximate dynamic programming that deals with the adaptive control of continuous nonlinear dynamic systems. Its origins stem from dynamic programming in optimal control, but it is extended into a form where approximations are used to reduce the curse of dimensionality and reduce the need for model ...
van Kampen, E. (author) +1 more
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An Overview of Research on Adaptive Dynamic Programming
Acta Automatica Sinica, 2013Abstract Adaptive dynamic programming (ADP) is a novel approximate optimal control scheme, which has recently become a hot topic in the field of optimal control. As a standard approach in the field of ADP, a function approximation structure is used to approximate the solution of Hamilton-Jacobi-Bellman (HJB) equation.
Hua-Guang ZHANG +3 more
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Dynamic Control of Adaptive Parameters in Evolutionary Programming
1999Evolutionary programming (EP) has been widely used in numerical optimization in recent years. The adaptive parameters, also named step size control, in EP play a significant role which controls the step size of the objective variables in the evolutionary process. However, the step size control may not work in some cases.
Ko-Hsin Liang +2 more
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Adaptive Dynamic Programming - Discrete Version
2017This chapter presents the application of adaptive structures to the Bellman’s DP method to approximate the value function. Such action resulted in the creation of a family of neural dynamic programming algorithms that can be used for on-line control of a dynamic objects.
Marcin Szuster, Zenon Hendzel
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Recursive dynamic programming for adaptive sequence and structure alignment.
Proceedings. International Conference on Intelligent Systems for Molecular Biology, 1995We propose a new alignment procedure that is capable of aligning protein sequences and structures in a unified manner. Recursive dynamic programming (RDP) is a hierarchical method which, on each level of the hierarchy, identifies locally optimal solutions and assembles them into partial alignments of sequences and/or structures.
Thiele, R., Zimmer, R., Lengauer, T.
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Adaptive Dynamic Programming for Control: A Survey and Recent Advances
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021, Bo Zhao, Biao Luo
exaly

