Robust Manufacturing Control
| Author | : |
| Publisher | : Springer |
| Total Pages | : 584 |
| Release | : 2012-12-14 |
| Genre | : |
| ISBN | : 9783642307508 |
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Robust Manufacturing Control
| Author | : Katja Windt |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 553 |
| Release | : 2012-12-14 |
| Genre | : Technology & Engineering |
| ISBN | : 3642307493 |
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This contributed volume collects research papers, presented at the CIRP Sponsored Conference Robust Manufacturing Control: Innovative and Interdisciplinary Approaches for Global Networks (RoMaC 2012, Jacobs University, Bremen, Germany, June 18th-20th 2012). These research papers present the latest developments and new ideas focusing on robust manufacturing control for global networks. Today, Global Production Networks (i.e. the nexus of interconnected material and information flows through which products and services are manufactured, assembled and distributed) are confronted with and expected to adapt to: sudden and unpredictable large-scale changes of important parameters which are occurring more and more frequently, event propagation in networks with high degree of interconnectivity which leads to unforeseen fluctuations, and non-equilibrium states which increasingly characterize daily business. These multi-scale changes deeply influence logistic target achievement and call for robust planning and control strategies. Therefore, understanding the cause and effects of multi-scale changes in production networks is of major interest. New methodological approaches from different science disciplines are promising to contribute to a new level comprehension of network processes. Unconventional methods from biology, perturbation ecology or auditory display are gaining increasing importance as they are confronted with similar challenges. Advancements from the classical disciplines such as mathematics, physics and engineering are also becoming of continuing importance.
Quality Control
| Author | : Pengzhong Li |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 244 |
| Release | : 2021-03-24 |
| Genre | : Technology & Engineering |
| ISBN | : 1839624973 |
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Quality control is changing along with the manufacturing environment. A series of revolutionary changes will occur in management contents, methods, capabilities, and real-time effectiveness and efficiency of management. As an essential factor in intelligent manufacturing, quality control systems require real and comprehensive innovation. Focused on new trends and developments in quality control from a worldwide perspective, this book presents the latest information on novel approaches in quality control. Its thirteen chapters cover three topics: intelligent manufacturing, robust design, and control charts.
Robust Process Control
| Author | : Manfred Morari |
| Publisher | : Morari |
| Total Pages | : 5 |
| Release | : 1989 |
| Genre | : Chemical process control |
| ISBN | : 0137821530 |
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A state-of-the-art study of computerized control of chemical processes used in industry, this book is for chemical engineering and industrial chemistry students involved in learning the micro-macro design of chemical process systems.
Special Issue: Robust Manufacturing Control
| Author | : |
| Publisher | : |
| Total Pages | : 63 |
| Release | : 2012 |
| Genre | : |
| ISBN | : |
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Robust Control System Networks
| Author | : Ralph Langner |
| Publisher | : Momentum Press |
| Total Pages | : 358 |
| Release | : 2011-09-15 |
| Genre | : Computers |
| ISBN | : 1606503022 |
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From the researcher who was one of the first to identify and analyze the infamous industrial control system malware "Stuxnet," comes a book that takes a new, radical approach to making Industrial control systems safe from such cyber attacks: design the controls systems themselves to be "robust." Other security experts advocate risk management, implementing more firewalls and carefully managing passwords and access. Not so this book: those measures, while necessary, can still be circumvented. Instead, this book shows in clear, concise detail how a system that has been set up with an eye toward quality design in the first place is much more likely to remain secure and less vulnerable to hacking, sabotage or malicious control. It blends several well-established concepts and methods from control theory, systems theory, cybernetics and quality engineering to create the ideal protected system. The book's maxim is taken from the famous quality engineer William Edwards Deming, "If I had to reduce my message to management to just a few words, I'd say it all has to do with reducing variation." Highlights include: - An overview of the problem of "cyber fragility" in industrial control systems - How to make an industrial control system "robust," including principal design objectives and overall strategic planning - Why using the methods of quality engineering like the Taguchi method, SOP and UML will help to design more "armored" industrial control systems.
Robust Control Design: An Optimal Control Approach
| Author | : Feng Lin |
| Publisher | : John Wiley & Sons |
| Total Pages | : 378 |
| Release | : 2007-09-27 |
| Genre | : Science |
| ISBN | : 9780470059562 |
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Comprehensive and accessible guide to the three main approaches to robust control design and its applications Optimal control is a mathematical field that is concerned with control policies that can be deduced using optimization algorithms. The optimal control approach to robust control design differs from conventional direct approaches to robust control that are more commonly discussed by firstly translating the robust control problem into its optimal control counterpart, and then solving the optimal control problem. Robust Control Design: An Optimal Control Approach offers a complete presentation of this approach to robust control design, presenting modern control theory in an concise manner. The other two major approaches to robust control design, the H_infinite approach and the Kharitonov approach, are also covered and described in the simplest terms possible, in order to provide a complete overview of the area. It includes up-to-date research, and offers both theoretical and practical applications that include flexible structures, robotics, and automotive and aircraft control. Robust Control Design: An Optimal Control Approach will be of interest to those needing an introductory textbook on robust control theory, design and applications as well as graduate and postgraduate students involved in systems and control research. Practitioners will also find the applications presented useful when solving practical problems in the engineering field.
Essentials of Robust Control
| Author | : Kemin Zhou |
| Publisher | : Pearson |
| Total Pages | : 0 |
| Release | : 1998 |
| Genre | : Automatic control |
| ISBN | : 9780135258330 |
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Based upon the popular Robust and Optimal Control by Zhou, et al. (PH, 1995), this book offers a streamlined approach to robust control that reflects the most recent topics and developments in the field. It features coverage of state-of-the-art topics, including gap metric, v-gap metric, model validation, and real mu.
Robust Control Design with MATLAB®
| Author | : Da-Wei Gu |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 393 |
| Release | : 2006-03-30 |
| Genre | : Technology & Engineering |
| ISBN | : 1846280915 |
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Shows readers how to exploit the capabilities of the MATLAB® Robust Control and Control Systems Toolboxes to the fullest using practical robust control examples.
Robust Industrial Control Systems
| Author | : Michael J. Grimble |
| Publisher | : John Wiley & Sons |
| Total Pages | : 698 |
| Release | : 2006-05-01 |
| Genre | : Science |
| ISBN | : 0470020741 |
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Robust Industrial Control Systems: Optimal Design Approach for Polynomial Systems presents a comprehensive introduction to the use of frequency domain and polynomial system design techniques for a range of industrial control and signal processing applications. The solution of stochastic and robust optimal control problems is considered, building up from single-input problems and gradually developing the results for multivariable design of the later chapters. In addition to cataloguing many of the results in polynomial systems needed to calculate industrial controllers and filters, basic design procedures are also introduced which enable cost functions and system descriptions to be specified in order to satisfy industrial requirements. Providing a range of solutions to control and signal processing problems, this book: * Presents a comprehensive introduction to the polynomial systems approach for the solution of H_2 and H_infinity optimal control problems. * Develops robust control design procedures using frequency domain methods. * Demonstrates design examples for gas turbines, marine systems, metal processing, flight control, wind turbines, process control and manufacturing systems. * Includes the analysis of multi-degrees of freedom controllers and the computation of restricted structure controllers that are simple to implement. * Considers time-varying control and signal processing problems. * Addresses the control of non-linear processes using both multiple model concepts and new optimal control solutions. Robust Industrial Control Systems: Optimal Design Approach for Polynomial Systems is essential reading for professional engineers requiring an introduction to optimal control theory and insights into its use in the design of real industrial processes. Students and researchers in the field will also find it an excellent reference tool.
