000			04392nam a22004215i 4500
999			_c362449 _d362449
001			362449
003			ES-MaUEC
005			20230102121545.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			210609s2021 sz | s |||| 0|eng d
020			_a9783030711832
024	7		_a10.1007/978-3-030-71183-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTS156.8 _b2021 EB
100	1		_aWu, Zhe _eautor _0(orcid)0000-0002-2923-149X _1https://orcid.org/0000-0002-2923-149X _4aut _4http://id.loc.gov/vocabulary/relators/aut _9682604
245	1	0	_aProcess Operational Safety and Cybersecurity : _bA Feedback Control Approach _cby Zhe Wu, Panagiotis D. Christofides.
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Pulishing _c2021
300			_a1 recurso en línea (XXV, 277 páginas) _b107 ilustraciones, 78 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aAdvances in Industrial Control _x2193-1577
490	0		_aIntelligent Technologies and Robotics (SpringerNature-42732)
490	0		_aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505	0		_aIntroduction -- Background -- Safeness-Index-Based MPC and EMPC -- Operational Safety via Control Lyapunov-Barrier Function-Based MPC -- Integration of Safety Systems with Control Systems -- Machine Learning in Process Operational Safety -- Process Cybersecurity -- A Two-tier Control Architecture for Cybersecurity.
520	3		_aThis book is focused on the development of rigorous, yet practical, methods for the design of advanced process control systems to improve process operational safety and cybersecurity for a wide range of nonlinear process systems. Process Operational Safety and Cybersecurity develops designs for novel model predictive control systems accounting for operational safety considerations, presents theoretical analysis on recursive feasibility and simultaneous closed-loop stability and safety, and discusses practical considerations including data-driven modeling of nonlinear processes, characterization of closed-loop stability regions and computational efficiency. The text then shifts focus to the design of integrated detection and model predictive control systems which improve process cybersecurity by efficiently detecting and mitigating the impact of intelligent cyber-attacks. The book explores several key areas relating to operational safety and cybersecurity including: machine-learning-based modeling of nonlinear dynamical systems for model predictive control; a framework for detection and resilient control of sensor cyber-attacks for nonlinear systems; insight into theoretical and practical issues associated with the design of control systems for process operational safety and cybersecurity; and a number of numerical simulations of chemical process examples and Aspen simulations of large-scale chemical process networks of industrial relevance. A basic knowledge of nonlinear system analysis, Lyapunov stability techniques, dynamic optimization, and machine-learning techniques will help readers to understand the methodologies proposed. The book is a valuable resource for academic researchers and graduate students pursuing research in this area as well as for process control engineers. Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
988			_aSpringer_Robotics_2021
650		7	_2embne _9483083 _aInternet de los objetos
700	1		_aChristofides, Panagiotis D. _eautor _0(orcid)0000-0002-8772-4348 _1https://orcid.org/0000-0002-8772-4348 _4aut _4http://id.loc.gov/vocabulary/relators/aut _9682605
776	0	8	_iPrinted edition: _z9783030711825
776	0	8	_iPrinted edition: _z9783030711849
776	0	8	_iPrinted edition: _z9783030711856
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-71183-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE