Spacecraft Attitude Control: A Linear Matrix Inequality Approach solves problemsfor spacecraft attitude control systems using convex optimization and, specifi cally,through a linear matrix inequality (LMI) approach. High-precision pointing and improvedrobustness in the face of external disturbances and other uncertainties are requirementsfor the current generation of spacecraft. This book presents an LMI approach to spacecraftattitude control and shows that all uncertainties in the maneuvering process can besolved numerically. It explains how a model-like state space can be developed through amathematical presentation of attitude control systems, allowing the controller in question tobe applied universally. The authors describe a wide variety of novel and robust controllers,applicable both to spacecraft attitude control and easily extendable to second-ordersystems. Spacecraft Attitude Control provides its readers with an accessible introductionto spacecraft attitude control and robust systems, giving an extensive survey of currentresearch and helping researchers improve robust control performance. Considers the control requirements of modern spacecraft Presents rigid and flexible spacecraft control systems with inherent uncertainties mathematically, leading to a model-like state space Develops a variety of novel and robust controllers directly applicable to spacecraft control as well as extendable to other second-order systems Includes a systematic survey of recent research in spacecraft attitude control
Computational Methods for Nonlinear Dynamical Systems: Theory and Applications in Aerospace Engineering proposes novel ideas and develops highly-efficient and accurate methods for solving nonlinear dynamic systems, drawing inspiration from the weighted residual method and the asymptotic method. Proposed methods can be used both for real-time simulation and the analysis of nonlinear dynamics in aerospace engineering. The book introduces global estimation methods and local computational methods for nonlinear dynamic systems. Starting from the classic asymptotic, finite difference and weighted residual methods, typical methods for solving nonlinear dynamic systems are considered. In addition, new high-performance methods are proposed, such as time-domain collocation and local variational iteration. The book summarizes and develops computational methods for strongly nonlinear dynamic systems and considers the practical application of the methods within aerospace engineering. Presents global methods for solving periodic nonlinear dynamical behaviors Gives local methods for solving transient nonlinear responses Outlines computational methods for linear, nonlinear, ordinary and partial differential equations Emphasizes the development of accurate and efficient numerical methods that can be used in real-world missions Reveals practical applications of methods through orbital mechanics and structural dynamics
Computational Methods for Nonlinear Dynamical Systems: Theory and Applications in Aerospace Engineering proposes novel ideas and develops highly-efficient and accurate methods for solving nonlinear dynamic systems, drawing inspiration from the weighted residual method and the asymptotic method. Proposed methods can be used both for real-time simulation and the analysis of nonlinear dynamics in aerospace engineering. The book introduces global estimation methods and local computational methods for nonlinear dynamic systems. Starting from the classic asymptotic, finite difference and weighted residual methods, typical methods for solving nonlinear dynamic systems are considered. In addition, new high-performance methods are proposed, such as time-domain collocation and local variational iteration. The book summarizes and develops computational methods for strongly nonlinear dynamic systems and considers the practical application of the methods within aerospace engineering. Presents global methods for solving periodic nonlinear dynamical behaviors Gives local methods for solving transient nonlinear responses Outlines computational methods for linear, nonlinear, ordinary and partial differential equations Emphasizes the development of accurate and efficient numerical methods that can be used in real-world missions Reveals practical applications of methods through orbital mechanics and structural dynamics
Spacecraft Attitude Control: A Linear Matrix Inequality Approach solves problemsfor spacecraft attitude control systems using convex optimization and, specifi cally,through a linear matrix inequality (LMI) approach. High-precision pointing and improvedrobustness in the face of external disturbances and other uncertainties are requirementsfor the current generation of spacecraft. This book presents an LMI approach to spacecraftattitude control and shows that all uncertainties in the maneuvering process can besolved numerically. It explains how a model-like state space can be developed through amathematical presentation of attitude control systems, allowing the controller in question tobe applied universally. The authors describe a wide variety of novel and robust controllers,applicable both to spacecraft attitude control and easily extendable to second-ordersystems. Spacecraft Attitude Control provides its readers with an accessible introductionto spacecraft attitude control and robust systems, giving an extensive survey of currentresearch and helping researchers improve robust control performance. Considers the control requirements of modern spacecraft Presents rigid and flexible spacecraft control systems with inherent uncertainties mathematically, leading to a model-like state space Develops a variety of novel and robust controllers directly applicable to spacecraft control as well as extendable to other second-order systems Includes a systematic survey of recent research in spacecraft attitude control
Anomaly detection has been a long-standing security approach with versatile applications, ranging from securing server programs in critical environments, to detecting insider threats in enterprises, to anti-abuse detection for online social networks. Despite the seemingly diverse application domains, anomaly detection solutions share similar technical challenges, such as how to accurately recognize various normal patterns, how to reduce false alarms, how to adapt to concept drifts, and how to minimize performance impact. They also share similar detection approaches and evaluation methods, such as feature extraction, dimension reduction, and experimental evaluation. The main purpose of this book is to help advance the real-world adoption and deployment anomaly detection technologies, by systematizing the body of existing knowledge on anomaly detection. This book is focused on data-driven anomaly detection for software, systems, and networks against advanced exploits and attacks, but also touches on a number of applications, including fraud detection and insider threats. We explain the key technical components in anomaly detection workflows, give in-depth description of the state-of-the-art data-driven anomaly-based security solutions, and more importantly, point out promising new research directions. This book emphasizes on the need and challenges for deploying service-oriented anomaly detection in practice, where clients can outsource the detection to dedicated security providers and enjoy the protection without tending to the intricate details.
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.