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The Adaptive Dynamic Programming Toolbox [PDF]
Sensors, 2021 The paper develops the adaptive dynamic programming toolbox (ADPT), which is a MATLAB-based software package and computationally solves optimal control problems for continuous-time control-affine systems.
Xiaowei Xing, Dong Eui Chang
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Semantic Edge Based Disparity Estimation Using Adaptive Dynamic Programming for Binocular Sensors [PDF]
Sensors, 2018 Disparity calculation is crucial for binocular sensor ranging. The disparity estimation based on edges is an important branch in the research of sparse stereo matching and plays an important role in visual navigation.
Dongchen Zhu +5 more
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State of the Art of Adaptive Dynamic Programming and Reinforcement Learning
CAAI Artificial Intelligence Research, 2022 This article introduces the state-of-the-art development of adaptive dynamic programming and reinforcement learning (ADPRL). First, algorithms in reinforcement learning (RL) are introduced and their roots in dynamic programming are illustrated.
Derong Liu, Mingming Ha, Shan Xue
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Dynamic Event-Triggered Consensus Control for Multi-Agent Systems Using Adaptive Dynamic Programming
IEEE Access, 2022 The consensus optimal control problem for a class of linear multi-agent systems with directed communication networks is studied in this paper using adaptive dynamic programming. To overcome the restrictions of the agent’s low processing capability
Qi Zhang +4 more
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Dynamic flexible job shop scheduling method based on improved gene expression programming
Measurement + Control, 2021 Dynamic scheduling is one of the most important key technologies in production and flexible job shop is widespread. Therefore, this paper considers a dynamic flexible job shop scheduling problem considering setup time and random job arrival.
Chunjiang Zhang +5 more
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Alexandria Engineering Journal, 2023 In order to further study the application of energy acquisition model, based on the relevant theory of adaptive dynamic programming, the wireless sensor is tracked by modifying the energy acquisition model, and the relevant data and parameters are ...
Di Zhang, Xueli Wang
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IEEE Access, 2020 Using the data-driven control formulation, an iterative dynamic programming approach which is based on a multi-dimensional Taylor network is established to design the near optimal regulation of discrete-time nonlinear systems.
Qi-Ming Sun +4 more
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IEEE Access, 2021 Regenerative braking is the key to achieve efficient use of energy and extend the driving range in pure electric vehicles. This study proposes a new predictive control method integrating adaptive cubic exponential prediction and dynamic programming to ...
Junjiang Zhang +4 more
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Hangkong gongcheng jinzhan, 2020 With the rapid development of hypersonic vehicle technology, the research on defense approach of the hypersonic weapons is constantly deepening. A lot of guidance law researchers made their efforts to tackle with the problem of high speed, active large ...
SUN Lei +4 more
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Applied Sciences, 2023 This paper focuses primarily on adaptive dynamic programming (ADP)-based tracking control of the hydraulic-driven flexible robotic manipulator system (HDFRMS) with varying payloads and uncertainties via singular perturbation theory (SPT).
Xiaohua Wei +3 more
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