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Titlebook: Adaptive Dynamic Programming: Single and Multiple Controllers; Ruizhuo Song,Qinglai Wei,Qing Li Book 2019 Science Press, Beijing and Sprin

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發(fā)表于 2025-3-21 19:23:36 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Adaptive Dynamic Programming: Single and Multiple Controllers
影響因子2023Ruizhuo Song,Qinglai Wei,Qing Li
視頻videohttp://file.papertrans.cn/145/144634/144634.mp4
發(fā)行地址Provides a series of novel adaptive dynamic programming methodologies to obtain optimal control policies for systems with one control input or multiple inputs.Presents a detailed theoretical analysis
學科分類Studies in Systems, Decision and Control
圖書封面Titlebook: Adaptive Dynamic Programming: Single and Multiple Controllers;  Ruizhuo Song,Qinglai Wei,Qing Li Book 2019 Science Press, Beijing and Sprin
影響因子This book presents a class of novel optimal control methods and games schemes based on adaptive dynamic programming techniques. For systems with one control input, the ADP-based optimal control is designed for different objectives, while for systems with multi-players, the optimal control inputs are proposed based on games. In order to verify the effectiveness of the proposed methods, the book analyzes the properties of the adaptive dynamic programming methods, including convergence of the iterative value functions and the stability of the system under the iterative control laws. Further, to substantiate the mathematical analysis, it presents various application examples, which provide reference to real-world practices.?.
Pindex Book 2019
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Bakhtinian Explorations of Indian Cultures are uniformly ultimately bounded (UUB) based on Lyapunov techniques. Convergence of the Hamiltonian function is also proven. The simulation study demonstrates the effectiveness of the proposed optimal control method for unknown systems with disturbances.
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Introduction: Thinking Culture Dialogicallyapproximate the cost function, controls and disturbances. The weights of neural networks compose the synchronous weight matrix, and the uniformly ultimately bounded (UUB) of the synchronous weight matrix is proven. Two examples are given to show that the effectiveness of the proposed synchronous solution method for multi-player ZS games.
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https://doi.org/10.1007/978-3-031-46375-4put-output data. Neural networks are used to approximate the critic and action networks, respectively. It is proven that the model error and the closed unknown system are uniformly ultimately bounded (UUB). Simulation results demonstrate the performance of the proposed optimal control scheme for the unknown nonlinear system.
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