Model Based Design For Effective Control System Development
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Model-Based Design for Effective Control System Development
Control systems are an integral aspect of modern society and exist across numerous domains and applications. As technology advances more and more, the complexity of such systems continues to increase exponentially. Model-Based Design for Effective Control System Development is a critical source of scholarly information on model-centric approaches and implementations for control and other similar dynamic systems. Highlighting innovative topics such as configuration management, controllability analysis, and modeling requirements, this book is ideally designed for engineers, researchers, academics, project managers, and professionals interested in the design of embedded control systems.
Industrial Methods for the Effective Development and Testing of Defense Systems
Author: National Research Council
language: en
Publisher: National Academies Press
Release Date: 2012-01-27
During the past decade and a half, the National Research Council, through its Committee on National Statistics, has carried out a number of studies on the application of statistical methods to improve the testing and development of defense systems. These studies were intended to provide advice to the Department of Defense (DOD), which sponsored these studies. The previous studies have been concerned with the role of statistical methods in testing and evaluation, reliability practices, software methods, combining information, and evolutionary acquisition. Industrial Methods for the Effective Testing and Development of Defense Systems is the latest in a series of studies, and unlike earlier studies, this report identifies current engineering practices that have proved successful in industrial applications for system development and testing. This report explores how developmental and operational testing, modeling and simulation, and related techniques can improve the development and performance of defense systems, particularly techniques that have been shown to be effective in industrial applications and are likely to be useful in defense system development. In addition to the broad issues, the report identifies three specific topics for its focus: finding failure modes earlier, technology maturity, and use of all relevant information for operational assessments.
Automatic Control
In the realm of engineering and technology, mastering automated control systems is essential for innovation and efficiency. "Automatic Control: Experimental Approaches" is a comprehensive guide designed to illuminate the complexities of automated control through a blend of theoretical insights and practical experimentation. Authored by leading experts, this book is an invaluable resource for students, educators, and professionals seeking to deepen their understanding of control theory and its real-world applications. Emphasizing a hands-on learning approach, the book guides readers through fundamental principles of control theory, from classical PID (Proportional-Integral-Derivative) control to advanced techniques like state-space control and model predictive control. Complex theoretical concepts are presented clearly and concisely, accompanied by real-world examples and practical illustrations. Each chapter introduces the underlying theory followed by hands-on experiments, encouraging readers to apply their newfound knowledge using simulation software or physical control systems. The experiments build progressively, helping readers design controllers, tune parameters, and analyze system performance. The book also provides guidance on troubleshooting challenges in real-world control applications. Recognizing the interdisciplinary nature of control theory, the book explores case studies from aerospace, automotive engineering, robotics, and industrial automation, showing how control theory shapes modern technology. Additionally, it delves into theoretical underpinnings, covering system modeling, stability analysis, and control design methodologies. "Automatic Control: Experimental Approaches" stands as a definitive guide to automated control systems. Through its emphasis on experimentation and real-world application, the book empowers readers to design intelligent, responsive, and efficient control systems. Whether you're a student or a seasoned professional, this book offers practical guidance to succeed in the dynamic field of automated control.