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Advanced Process Monitoring for Industry 4.0
Advanced Process Monitoring for Industry 4.0
Autore Reis Marco S
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (288 p.)
Soggetto topico Technology: general issues
Soggetto non controllato artificial generation of variability
auto machine learning
classification
combustion
condition monitoring
construction industry
continuous casting
control chart pattern
convolutional neural network
curve resolution
data augmentation
data mining
data reconciliation
decision support systems
digital processing
discriminant analysis
disruption management
disruptions
expert systems
failure mode and effects analysis (FMEA)
failure mode effects analysis
fault detection
fault diagnosis
high-dimensional data
imbalanced data
Industry 4.0
latent variables models
load identification
membrane
monitoring
multi-mode model
multi-phase residual recursive model
multiscale
multivariate data analysis
n/a
neural networks
non-intrusive load monitoring
online
optical sensors
OPTICS
pasting process
PCA
plaster production
PLS
principal component analysis
process control
process image
process monitoring
quality control
quality prediction
real-time
risk priority number
rolling bearing
semiconductor manufacturing
signal detection
Six Sigma
spatial-temporal data
spectroscopy measurements
statistical process control
statistical process monitoring
time series classification
yield improvement
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557491503321
Reis Marco S  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Iterative learning stabilization and fault-tolerant control for batch processes / / Limin Wang, Ridong Zhang, Furong Gao
Iterative learning stabilization and fault-tolerant control for batch processes / / Limin Wang, Ridong Zhang, Furong Gao
Autore Wang Limin <1976->
Edizione [1st edition 2020.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (X, 323 p. 66 illus., 58 illus. in color.)
Disciplina 629.8
Soggetto topico Automatic control
Computational intelligence
Electrical engineering
Computer networks
Calculus of variations
Intelligent control systems
Machine learning
Process control
ISBN 981-13-5790-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
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.
Record Nr. UNINA-9910483064603321
Wang Limin <1976->  
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Model Predictive Control : Approaches Based on the Extended State Space Model and Extended Non-minimal State Space Model / / by Ridong Zhang, Anke Xue, Furong Gao
Model Predictive Control : Approaches Based on the Extended State Space Model and Extended Non-minimal State Space Model / / by Ridong Zhang, Anke Xue, Furong Gao
Autore Zhang Ridong
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (xv, 137 pages) : illustrations
Disciplina 629.8
Soggetto topico Systems theory
Mathematical optimization
Control and Systems Theory
Systems Theory, Control
Calculus of Variations and Optimal Control; Optimization
Energy Efficiency
ISBN 981-13-0083-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Model Predictive Control Based on Extended State Space Model -- Predictive Functional Control Based on Extended State Space Model -- Model Predictive Control Based on Extended Non-Minimal State Space Model -- Predictive Functional Control Based on Extended Non-minimal State Space Model -- Model Predictive Control Under Constraints -- PID Control Using Extended Non-minimal State Space Model Optimization -- Closed-loop System Performance Analysis -- Model Predictive Control Performance Optimized by Genetic Algorithm -- Industrial Application -- Further Ideas on MPC and PFC Using Relaxed Constrained Optimization.
Record Nr. UNINA-9910483180103321
Zhang Ridong  
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui