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Hardcover. Condizione: Brand New. 272 pages. 9.18x6.12x9.45 inches. In Stock.

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HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This is to explore the multifaceted aspects of hybrid intelligent modeling technology and optimization strategy for industrial energy consumption processes. With the increasing emphasis on sustainable practices, efficient management of industrial energy consumption has become a critical concern. It explores innovative approaches that leverage data-driven intelligence to model and optimize energy use in industrial processes. The integration of advanced technologies such as machine learning, artificial intelligence and data analytics will play a pivotal role in achieving energy efficiency, reducing environmental impacts and ensuring the sustainability of industrial operations. Research areas include hybrid intelligent modeling techniques, intelligent optimization strategies, case studies and applications, and interdisciplinary approaches. These studies collectively contribute to the body of knowledge on hybrid intelligent modeling technology and optimization strategy, offering practical solutions and theoretical frameworks to address energy conservation and consumption reduction. By sharing their practice and insights in the development and application of these new technologies, the authors of the articles in this reprint have demonstrated the value of hybrid intelligent modeling technology and optimization strategy for industrial energy consumption processes, providing readers with valuable ideological inspiration in the field. …

Hardcover. Condizione: new. Hardcover. The four novel Dynamic Event-Triggered Mechanisms (DETMs) in this book are for complex networked systems that optimize resource utilization while preserving system performance. These include hybrid dynamic variables-dependent ETMs, hybrid adjusting variables-dependent ETMs, bounded dynamic variable/time-varying threshold-dependent ETMs, and terminal constraint set-dependent mixed time/event-triggered mechanisms. It explores applications across fault diagnosis in networked systems, finite-time state estimation for complex dynamical networks, and MPC implementation.Presents a systematic study on dynamic event-triggered mechanismsReviews comprehensive research results on dynamic event-triggered fault diagnosis, state estimation, and MPCExplores how these theories can be applied to the practical engineering problem of load frequency control in power systemsDiscusses complex factors including cyber-attacks, multiple timescales, jumping system parameters, hard constraints, polytopic uncertainties, nonlinearities, and limited network/computing resourcesIncludes numerous simulations and examples to validate the theoretical results including single-link rigid robot model systems, motor systems, and power systems.This book is aimed at graduate students and researchers in control systems, computer sciences, and signal processing. This book introduces novel Dynamic Event-Triggered Mechanisms (DETMs) for complex networked systems that optimize resource utilization. These include hybrid dynamic variables-dependent, hybrid adjusting variables-dependent, bounded dynamic variable/time-varying threshold-dependent and terminal constraint mechanisms. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The aim of this Special Issue is to enable readers to understand the latest technologies in industrial-process operation state sensing and performance optimization. Operational safety, energy consumption, and efficient management of industrial processes have received widespread attention with the rapid development of large-scale industries. The integration of advanced technologies such as machine learning, artificial intelligence, and data analytics will provide important support for soft sensing, process monitoring, fault diagnosis, energy consumption optimization, and performance improvement. This Special Issue collates research on industrially relevant objects such as geological drilling processes, chemical processes, conventional ageing processes in barrels, photobioreactors for algal growth, waste-to-energy plants, industrial electrical systems, and industrial robots, including technologies such as intrusion detection, fault detection, fire detection, model predictive control, integrated multi-criteria decision making, and emulsion control. By sharing their practice and insights on the development and application of new technologies, the authors of the articles in this reprint have demonstrated the value of operation state sensing and performance optimization in industrial processes, thus providing readers with valuable ideological inspiration in this area.…

Buch. Condizione: Neu. Industrial Process Operation State Sensing and Performance Optimization | Buch | Englisch | 2024 | MDPI AG | EAN 9783725824397 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Hardcover. Condizione: new. Hardcover. The four novel Dynamic Event-Triggered Mechanisms (DETMs) in this book are for complex networked systems that optimize resource utilization while preserving system performance. These include hybrid dynamic variables-dependent ETMs, hybrid adjusting variables-dependent ETMs, bounded dynamic variable/time-varying threshold-dependent ETMs, and terminal constraint set-dependent mixed time/event-triggered mechanisms. It explores applications across fault diagnosis in networked systems, finite-time state estimation for complex dynamical networks, and MPC implementation.Presents a systematic study on dynamic event-triggered mechanismsReviews comprehensive research results on dynamic event-triggered fault diagnosis, state estimation, and MPCExplores how these theories can be applied to the practical engineering problem of load frequency control in power systemsDiscusses complex factors including cyber-attacks, multiple timescales, jumping system parameters, hard constraints, polytopic uncertainties, nonlinearities, and limited network/computing resourcesIncludes numerous simulations and examples to validate the theoretical results including single-link rigid robot model systems, motor systems, and power systems.This book is aimed at graduate students and researchers in control systems, computer sciences, and signal processing. This book introduces novel Dynamic Event-Triggered Mechanisms (DETMs) for complex networked systems that optimize resource utilization. These include hybrid dynamic variables-dependent, hybrid adjusting variables-dependent, bounded dynamic variable/time-varying threshold-dependent and terminal constraint mechanisms. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…