소장자료
LDR | 04658cam a2200000 a | ||
001 | 0100540970▲ | ||
003 | OCoLC▲ | ||
005 | 20220317155641▲ | ||
007 | ta ▲ | ||
008 | 210615s2021 sz a b 000 0 eng c▲ | ||
019 | ▼a1284943555▲ | ||
020 | ▼a9783030711832 (ebk.)▲ | ||
020 | ▼a3030711838 (ebk.)▲ | ||
020 | ▼a9783030711825 (hbk.)▲ | ||
020 | ▼a303071182X (hbk.)▲ | ||
040 | ▼aYDX▼beng▼cYDX▼dGW5XE▼dEBLCP▼dOCLCO▼dUKAHL▼d221016▲ | ||
082 | 0 | 4 | ▼a660/.2815▼223▲ |
090 | ▼a660.2815▼bW959p▲ | ||
100 | 1 | ▼aWu, Zhe.▲ | |
245 | 1 | 0 | ▼aProcess operational safety and cybersecurity :▼ba feedback control approach /▼cZhe Wu, Panagiotis D. Christofides.▲ |
260 | ▼aCham :▼bSpringer,▼c[2021].▲ | ||
300 | ▼axxv, 277 p. :▼bill. (some col.) ;▼c25 cm..▲ | ||
490 | 0 | ▼aAdvances in industrial control,▼x1430-9491▲ | |
504 | ▼aIncludes bibliographical references.▲ | ||
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 | ▼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.▲ | ||
650 | 0 | ▼aProcess control▼xSecurity measures.▲ | |
655 | 0 | ▼aElectronic books.▲ | |
700 | 1 | ▼aChristofides, Panagiotis D.▲ |

Process operational safety and cybersecurity : a feedback control approach
자료유형
국외단행본
서명/책임사항
Process operational safety and cybersecurity : a feedback control approach / Zhe Wu, Panagiotis D. Christofides.
발행사항
Cham : Springer , [2021].
형태사항
xxv, 277 p. : ill. (some col.) ; 25 cm..
총서사항
Advances in industrial control , 1430-9491
서지주기
Includes bibliographical references.
내용주기
Introduction -- 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.
요약주기
This 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.
ISBN
9783030711832 (ebk.) 3030711838 (ebk.) 9783030711825 (hbk.) 303071182X (hbk.)
청구기호
660.2815 W959p
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