Iterative learning stabilization and fault-tolerant control for batch processes / / Limin Wang, Ridong Zhang, Furong Gao

• Record Nr.: UNINA9910483064603321
• Autore: Wang Limin <1976->
• Pubbl/distr/stampa: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
• ISBN: 981-13-5790-0
• Edizione: [1st edition 2020.]
• Descrizione fisica: 1 online resource (X, 323 p. 66 illus., 58 illus. in color.)
• Disciplina: 629.8
• Soggetti: Automatic control; Computational intelligence; Electrical engineering; Computer networks; Calculus of variations; Intelligent control systems; Machine learning; Process control
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Introduction -- Iterative learning control of linear batch processes -- Iterative learning control of nonlinear batch processes -- Iterative learning optimal guaranteed cost control of batch processes -- Iterative learning control of multi-phase batch processes -- Delay-dependent iterative learning control of multi-phase batch processes -- Iterative learning fault-tolerant control of linear batch processes -- Iterative learning fault-tolerant control of nonlinear batch processes -- Iterative learning fault-tolerant control of multi-phase batch processes -- Further ideas on constrained infinite horizon fault-tolerant control of batch processes.
• Sommario/riassunto: 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.