EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link: https://ebookbell.com/faq

We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.

For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Iterative Learning Stabilization And Faulttolerant Control For Batch Processes Gao

SKU: BELL-10571702

$ 31.00 ~~$ 45.00~~ (-31%)

0 reviews

Iterative Learning Stabilization And Faulttolerant Control For Batch Processes Gao instant download after payment.

Publisher: Springer

File Extension: PDF

File size: 5.67 MB

Author: Gao, Furong; Wang, Limin; Zhang, Ridong

ISBN: 9789811357909, 9811357900

Language: English

Year: 2020

Product desciption

Iterative Learning Stabilization And Faulttolerant Control For Batch Processes Gao by Gao, Furong; Wang, Limin; Zhang, Ridong 9789811357909, 9811357900 instant download after payment.

This book is based on the authors research on the stabilization and fault-tolerant control of batch processes, which are flourishing topics in the field of control system engineering. It introduces iterative learning control for linear/nonlinear single/multi-phase batch processes; iterative learning optimal guaranteed cost control; delay-dependent iterative learning control; and iterative learning fault-tolerant control for linear/nonlinear single/multi-phase batch processes. Providing important insights and useful methods and practical algorithms that can potentially be applied in batch process control and optimization, it is a valuable resource for researchers, scientists, and engineers in the field of process system engineering and control engineering.