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Model Reduction of Complex Dynamical Systems
This contributed volume presents some of the latest research related to model order reduction of complex dynamical systems with a focus on time-dependent problems. Chapters are written by leading researchers and users of model order reduction techniques and are based on presentations given at the 2019 edition of the workshop series Model Reduction of Complex Dynamical Systems – MODRED, held at the University of Graz in Austria. The topics considered can be divided into five categories: system-theoretic methods, such as balanced truncation, Hankel norm approximation, and reduced-basis methods; data-driven methods, including Loewner matrix and pencil-based approaches, dynamic mode decomposit...
Investigation on Robust Codesign Methods for Networked Control Systems
The problem of jointly designing a robust controller and an intelligent scheduler for networked control systems (NCSs) is addressed in this thesis. NCSs composing of multiple plants that share a single channel communication network with uncertain time-varying transmission times are modeled as switched polytopic systems with additive norm-bounded uncertainty. Switching is deployed to represent scheduling, the polytopic uncertainty to overapproximatively describe the uncertain time-varying transmission times. Based on the resulting NCS model and a state feedback control law, the control and scheduling codesign problem is then introduced and formulated as a robust (minimax) optimization problem...
Informatics in Control, Automation and Robotics
The present book includes a set of selected papers from the seventh "International Conference on Informatics in Control Automation and Robotics" (ICINCO 2010), held in Madeira, Portugal, from 15 to 18 June 2010. The conference was organized in three simultaneous tracks: "Intelligent Control Systems and Optimization", "Robotics and Automation" and "Signal Processing, Systems Modeling and Control". The book is based on the same structure. ICINCO received 320 paper submissions, not including those of workshops or special sessions, from 57 countries, in all continents. After a double blind paper review performed by the Program Committee only 27 submissions were accepted as full papers and thus s...
Energy Systems Integration for Multi-Energy Systems
This book offers a comprehensive approach to energy systems integration (ESI) that optimizes the design and operation of energy systems, maximizing the benefits of all components while minimizing potential negative impacts. By coordinating the production, distribution, and utilization of energy from diverse sources, ESI ensures the most efficient and cost-effective fulfillment of end-users' needs. The true value of ESI lies in its ability to harmonize interconnected systems, enabling the production and supply of energy in its various forms to achieve reliability, environmental sustainability, and economic viability at appropriate scales. Through the analysis and design of integrated energy s...
Distributed Denial of Service Attacks
Distributed Denial of Service (DDoS) attacks have become more destructive, wide-spread and harder to control over time. This book allows students to understand how these attacks are constructed, the security flaws they leverage, why they are effective, how they can be detected, and how they can be mitigated. Students use software defined networking (SDN) technology to created and execute controlled DDoS experiments. They learn how to deploy networks, analyze network performance, and create resilient systems. This book is used for graduate level computer engineering instruction at Clemson University. It augments the traditional graduate computing curricula by integrating: Internet deployment,...
Data Science in Engineering, Volume 9
Data Science in Engineering, Volume 9: Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics, 2022, the nineth volume of nine from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Data Science in Engineering, including papers on: Novel Data-driven Analysis Methods Deep Learning Gaussian Process Analysis Real-time Video-based Analysis Applications to Nonlinear Dynamics and Damage Detection High-rate Structural Monitoring and Prognostics
Nonlinear Dynamics of Production Systems
This reference work provides a comprehensive insight into the recent developments of applications of Nonlinear Dynamics in the field of production systems. Applications range from manufacturing and process engineering, to selected topics in mechanical engineering, automation technology and plant management. This compilation of contributions shows how methods of Nonlinear Dynamics can be used to solve problems arising in traditional or non-conventional manufacturing techniques such as turning, high-speed milling, laser welding, jet cutting, or electrochemical processing. Recent progress in optimizing the dynamics of production lines and complete production systems is also covered. The book addresses both, experts in Nonlinear Dynamics who want to apply their methods to real-world problems, and practitioners who seek solutions for their engineering problems.
Mathematical Reviews
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