04144nam a22005295i 4500 978-0-85729-582-8 DE-He213 20260521092041.0 cr nn 008mamaa 110407s2011 xxk| s |||| 0|eng d 9780857295828 99780857295828 10.1007/978-0-85729-582-8 doi 629.8 23 Christofides, Panagiotis D. author. Networked and Distributed Predictive Control [electronic resource] : Methods and Nonlinear Process Network Applications / by Panagiotis D. Christofides, Jinfeng Liu, David Muñoz de la Peña. London : Springer London, 2011. XXVIII, 232 p. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Advances in Industrial Control, 1430-9491 Introduction -- Lyapunov-based Model Predictive Control -- Networked Predictive Process Control -- Distributed Model Predictive Control -- Sequential and Iterative Distributed Model Predictive Control -- Multirate Distributed Model Predictive Control. Networked and Distributed Predictive Control presents rigorous, yet practical, methods for the design of networked and distributed predictive control systems. The design of model predictive control systems using Lyapunov-based techniques to account for the influence of asynchronous and delayed measurements is followed by a treatment of networked control architecture development. This shows how networked control can augment dedicated control systems in a natural way and takes advantage of additional, potentially asynchronous and delayed measurements to maintain closed loop stability and significantly to improve closed-loop performance. The text then shifts focus to the design of distributed predictive control systems that cooperate efficiently in computing optimal manipulated input trajectories that achieve desired stability, performance and robustness specifications but utilize a fraction of the time required by centralized control systems. Key features of this book include: ·         new techniques for networked and distributed control system design; ·         insight into issues associated with networked and distributed predictive control problems; ·         detailed appraisal of industrial relevance using computer simulation of nonlinear chemical process networks and wind- and solar-energy-generation systems; and ·         integrated exposition of novel research topics and rich resource of references to significant recent work. A full understanding of Networked and Distributed Predictive Control requires a basic knowledge of differential equations, linear and nonlinear control theory and optimization methods and the book is intended for academic researchers and graduate students studying control as well as for process control engineers. The constant attention to practical matters associated with implementation of the theory discussed will help researchers and engineers understand the application of the book's methods in greater depth. ENGINEERING. CHEMICAL ENGINEERING. COMPUTER COMMUNICATION NETWORKS. SYSTEMS THEORY. RENEWABLE ENERGY SOURCES. ENGINEERING. CONTROL. INDUSTRIAL CHEMISTRY/CHEMICAL ENGINEERING. RENEWABLE AND GREEN ENERGY. SYSTEMS THEORY, CONTROL. COMPUTER COMMUNICATION NETWORKS. Liu, Jinfeng. author. Muñoz de la Peña, David. author. SpringerLink (Online service) Springer eBooks Printed edition: 9780857295811 Advances in Industrial Control, 1430-9491 http://dx.doi.org/10.1007/978-0-85729-582-8 Ver el texto completo en las instalaciones del CICY ZDB-2-ENG ddc ER 36000 36000 0 0 ddc 0 0 LE CICY CICY EL 2025-10-06 0 629.8 2025-10-06 08:44:45 2025-10-06 ER