Cloud Control Systems by Magdi S Mahmoud
Cloud Control Systems: Analysis, Design and Estimation introduces readers to the basic definitions and various new developments in the growing field of cloud control systems (CCS). The book begins with an overview of cloud control systems (CCS) fundamentals, which will help beginners to better understand the depth and scope of the field. It then discusses current techniques and developments in CCS, including event-triggered cloud control, predictive cloud control, fault-tolerant and diagnosis cloud control, cloud estimation methods, and secure control/estimation under cyberattacks. This book benefits all researchers including professors, postgraduate students and engineers who are interested in modern control theory, robust control, multi-agents control.-
Fundamental Design and Automation Technologies in Offshore Robotics
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Dynamics and Advanced Motion Control of Off-Road UGVs
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Vibration Control and Actuation of Large-Scale Systems
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Integer Optimization and its Computation in Emergency Management
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Consensus Tracking of Multi-agent Systems with Switching Topologies
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New Trends in Observer-based Control
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Advanced Seat Suspension Control System Design for Heavy Duty Vehicles
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Modeling and Nonlinear Robust Control of Delta-Like Parallel Kinematic Manipulators
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Fractional-Order Design
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Fractional-Order Modeling of Dynamic Systems with Applications in Optimization, Signal Processing, and Control
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Adaptive Sliding Mode Neural Network Control for Nonlinear Systems
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Non-monotonic Approach to Robust H8 Control of Multi-model Systems
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Recent Advances in Chaotic Systems and Synchronization
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Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics
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Cooperative Control of Multi-Agent Systems
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Fractional Order Systems
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Modeling, Optimization, and Control of Zinc Hydrometallurgical Purification Process
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Control Strategy for Time-Delay Systems
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Analysis and Synthesis of Singular Systems
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Mechanisms
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Adaptive Backstepping Consensus Control for Nonlinear Multi-Agent Systems
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Small Sample Modelling Based on Deep and Broad Forest Regression
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Composite Disturbance Rejection Control (CDRC) for Complex Dynamic Systems
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Control of Underactuated Mechanical Systems
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Internet of Things (IoT) - An Engineering Approach
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Autonomous Mobile Robots
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System Assurances
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Fast Satellite Attitude Maneuver and Control
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State Space Systems With Time-Delays Analysis, Identification, and Applications
Magdi S. Mahmoud is a distinguished professor at King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia. He has been faculty member at different universities worldwide including Egypt (CU, AUC), Kuwait (KU), UAE (UAEU), UK (UMIST), USA (Pitt, Case Western), Singapore (Nanyang), and Australia (Adelaide). He lectured in Venezuela (Caracas), Germany (Hanover), UK (Kent), USA (UoSA), Canada (Montreal) and China (BIT, Yanshan). He is the principal author of 51 books, inclusive book-chapters, and author/co-author of more than 610 peer-reviewed papers. He is a fellow of the IEE and a senior member of the IEEE, the CEI (UK). He is currently actively engaged in teaching and research in the development of modern methodologies to distributed control and filtering, networked control systems, fault-tolerant systems, cyberphysical systems, and information technology. Yuanqing Xia has worked in the Department of Automatic Control, Beijing Institute of Technology, Beijing, since 2004, first as an associate professor, and, since 2008, as a professor. He is a Yangtze River Scholar and Chair Professor of the Beijing Institute of Technology since 2016. His current research interests are in the fields of networked control systems, robust control, sliding mode control, active disturbance rejection control, biomedical signal processing, and cloud control systems.
| SKU | Unavailable |
| ISBN 13 | 9780128187012 |
| ISBN 10 | 0128187018 |
| Title | Cloud Control Systems |
| Author | Magdi S Mahmoud |
| Series | Emerging Methodologies And Applications In Modelling Identification And Control |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Elsevier Science Publishing Co Inc |
| Year published | 2020-01-20 |
| Number of pages | 506 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |