Results 251 to 260 of about 33,794 (307)

On Iterative Adaptive Dynamic Programming

Applied Mechanics and Materials, 2013
Linear system is very seldom in actual control works, so there is more engineering significant of researching on the actual nonlinear system. Time delay phenomenon is the objective phenomenon exists in nature. Neural network based on adaptive dynamic programming principle is selected to implement algorithm. The algorithm contains model network training,
Chang Qing Cui, Yi Qiang Wang, Chun Yan Yang, Bao Sheng Yang   +3 more
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Adaptive dynamic programming for nonlinear nonaffine systems

53rd IEEE Conference on Decision and Control, 2014
This paper studies the optimal control problem for continuous-time nonaffine nonlinear dynamic systems with unknown dynamics. By using adaptive dynamic programming (ADP) method, a non-model based optimal control design is given. The convergence analysis for the designed control scheme is presented.
Tao Bian, Yu Jiang 0003, Zhong-Ping Jiang   +2 more
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A Low-Power Circuit for Adaptive Dynamic Programming

2018 31st International Conference on VLSI Design and 2018 17th International Conference on Embedded Systems (VLSID), 2018
This paper presents a low-power CMOS design for accelerating an adaptive dynamic programming algorithm, called action-dependent heuristic dynamic programming, which is widely employed in many real-life control problems. The objective of this work is to solve Bellman equation approximately using efficient hardware in order to generate near-optimal real ...
Nan Zheng, Pinaki Mazumder
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A retrospective on Adaptive Dynamic Programming for control

2009 International Joint Conference on Neural Networks, 2009
Some three decades ago, certain computational intelligence methods of reinforcement learning were recognized as implementing an approximation of Bellman's Dynamic Programming method, which is known in the controls community as an important tool for designing optimal control policies for nonlinear plants and sequential decision making.
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Multi-agent Adaptive Dynamic Programming

2000
Dynamic programming offers an exact, general solution method for completely known sequential decision problems, formulated as Markov Decision Processes (MDP), with a finite number of states. Recently, there has been a great amount of interest in the adaptive version of the problem, where the task to be solved is not completely known a priori. In such a
Snehasis Mukhopadhyay, Joby Varghese
openaire   +1 more source

Spiking Adaptive Dynamic Programming with Poisson Process

2021
A new iterative spiking adaptive dynamic programming (SADP) algorithm based on the Poisson process for optimal impulsive control problems is investigated with convergence discussion of the iterative process. For a fixed time interval, a 3-tuple can be computed, and then the iterative value functions and control laws can be obtained.
Qinglai Wei, Liyuan Han, Tielin Zhang
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The dynamics of adaptive behavior: A research program

Robotics and Autonomous Systems, 1997
This paper provides a comprehensive overview of the motivations, methodology and current status of an ongoing research program whose long-term goal is to elucidate the essential principles of a theory of adaptive behavior. The thoroughly dynamical nature of both adaptive behavior itself and the causal mechanisms that support it is emphasized throughout.
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Adaptive Genetic Programming for dynamic classification problems

2009 IEEE Congress on Evolutionary Computation, 2009
This paper investigates the feasibility of using Genetic Programming in dynamically changing environments to evolve decision trees for classification problems and proposes an new version of Genetic Programming called Adaptive Genetic Programming. It does so by comparing the performance or classification error of Genetic Programming and Adaptive Genetic
Marius Riekert, Katherine M. Malan, Andries P. Engelbrecht   +2 more
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DJ: Dynamic Adaptive Programming in Java

2001
DJ is a new pure-Java library for adaptive programming that allows traversal strategies to be constructed and in terpreted dynamically at run-time, as opposed to existing adaptive programming tools that are strictly static. Traversal strategies can be used with adaptive visitors (similar to the Visitor pattern) or in a generic programming style by ...
Doug Orleans, Karl J. Lieberherr
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DynaCut

Proceedings of the 24th International Middleware Conference on ZZZ, 2023
Published ...
Abhijit Mahurkar, Xiaoguang Wang 0003, Hang Zhang 0012, Binoy Ravindran   +3 more
openaire   +2 more sources