Iterative Adaptive Dynamic Programming for Self – Learning Optimal Control | 16.97 MB
Title: Iterative Adaptive Dynamic Programming for Self-Learning Optimal Control
Author: Qinglai Wei, Ruizhuo Song and Hongyang Li
Category: Nonfiction, Science & Nature, Technology, Robotics, Computers, Advanced Computing, Engineering, Computer Vision
Language: English | 255 Pages | ISBN: 9819811201
Description:
This unique book introduces the iterative adaptive dynamic programming theory from the control systems perspectives, with the most recent results of iterative adaptive dynamic programming methods. Advanced theoretical analysis and some practical applications of iterative adaptive dynamic programming are provided. Furthermore, the practical applications in residential energy systems are also highlighted, showing the good performance of the iterative adaptive dynamic programming methods.
The useful reference text benefits professionals, researchers, academics, graduate and undergraduates students in control engineering.
Readership: Researchers, professionals, academics and undergraduate and graduate students in control engineering.
This unique book introduces the iterative adaptive dynamic programming theory from the control systems perspectives, with the most recent results of iterative adaptive dynamic programming methods. Advanced theoretical analysis and some practical applications of iterative adaptive dynamic programming are provided. Furthermore, the practical applications in residential energy systems are also highlighted, showing the good performance of the iterative adaptive dynamic programming methods.
The useful reference text benefits professionals, researchers, academics, graduate and undergraduates students in control engineering.
Readership: Researchers, professionals, academics and undergraduate and graduate students in control engineering.
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