Advanced Optimal Control and Applications Involving Critic Intelligence

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Éditeur :

Springer


Collection :

Intelligent Control and Learning Systems

Paru le : 2023-01-21

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Description
This book intends to report new optimal control results with critic intelligence for complex discrete-time systems, which covers the novel control theory, advanced control methods, and typical applications for wastewater treatment systems. Therein, combining with artificial intelligence techniques, such as neural networks and reinforcement learning, the novel intelligent critic control theory as well as a series of advanced optimal regulation and trajectory tracking strategies are established for discrete-time nonlinear systems, followed by application verifications to complex wastewater treatment processes. Consequently, developing such kind of critic intelligence approaches is of great significance for nonlinear optimization and wastewater recycling. The book is likely to be of interest to researchers and practitioners as well as graduate students in automation, computer science, and process industry who wish to learn core principles, methods, algorithms, and applications in the field of intelligent optimal control. It is beneficial to promote the development of intelligent optimal control approaches and the construction of high-level intelligent systems.
Pages
274 pages
Collection
Intelligent Control and Learning Systems
Parution
2023-01-21
Marque
Springer
EAN papier
9789811972904
EAN PDF
9789811972911

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
27
Taille du fichier
7496 Ko
Prix
147,69 €
EAN EPUB
9789811972911

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
27
Taille du fichier
49244 Ko
Prix
147,69 €