Products related to Control:
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Practical Control Engineering for Mechatronics and Automation
Production processes and engineered systems use continuous and discrete variables, as well as the combination of continuous and sequential operations.This volume covers both aspects, thus providing knowledge in continuous and discrete control, logic control, and hybrid control systems.It is a compilation of selected control strategies to automate processes and systems with a practical approach to ease their design, analysis and implementation.The selection of the control schemes is based on the capability to provide desired dynamical response or real time performance.Practicality is required for achieving faster development times of automation projects or system prototypes by comprehensive presentation and direct application of methodologies and techniques for efficient and structured programming of control algorithms.Considered methodologies include model-based design, hardware in the loop simulations and structured programming.Fundamental signals and systems concepts are explained.Systems and controllers are analyzed using discrete-time equations, which ease their implementation in most programmable platforms without requiring sophisticated software.PID based control, internal model control and model reference control are viewed as powerful schemes in terms of performance and suitability for mechatronics systems because of the use of the model in their architecture as a key control element.Finite state machines are presented to solve sequential requirements of direct and supervisory control of many processes and machines.Cyberphysical systems are an industrial technology and an education trend, distinguished by visual and dynamic models or digital twins of the physical systems.The discussed analysis, design and implementation practices are integrated and applied in the context of cyberphysical systems.This book aims to provide multidisciplinary support to engineers and practitioners in the design of control systems, and is a valuable tool for automation teaching and self-learning.
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Human Factors in Engineering : Manufacturing Systems, Automation, and Interactions
This book addresses aspects of human factors in engineering and provides a detailed discussion of novel approaches, systems engineering tools, artificial cognitive systems, and intelligent technologies and automation.It presents applications in diverse areas, including digital manufacturing, transportation, infrastructure development, and cybersecurity. This book:• Merges the engineering perspective with the human factors and social dimension of computing and artificial intelligence–based technologies. • Covers technological development of human factors engineering and the human dimension in applications across all areas of modern society. • Relates to human behavior in the context of technology and systems interactions. • Discusses the design and the appropriation of 3D printing techniques in the management of an innovative product system. • Presents systems engineering tools, user experience methodologies, artificial cognitive systems, intelligent technologies, and automation. The text is for students, professionals, and researchers in the fields of ergonomics, human factors, industrial engineering, and manufacturing engineering.
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Software Test Automation : Software Test Automation
This book describes how to build and implement an automated testing regime for software development.It presents a detailed account of the principles of automated testing, practical techniques for designing a good automated testing regime, and advice on choosing and applying off-the-shelf testing tools to specific needs.This sound and practical introduction to automated testing comes from two authors well known for their seminars, consultancy and training in the field.
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Digital Control Systems : Theory, Hardware, and Software with MATLAB, Third Edition
Completely revised and updated, written to be understandable for students, and practical in its coverage, this new edition features a range of new engineering applications, such as control of unmanned aerial vehicles (UAVs), wind turbine energy systems, and robotic systems.MATLAB and Simulink integration is found throughout, along with math presented in an understandable way for student readers.Building on basic controls concepts, the book guides readers through the analysis, design, and implementation procedures needed in today's industry.A complete Solutions Manual, MATLAB code, and Figure Slides are available for adopting professors.
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How do you calculate control parameters in control engineering?
In control engineering, control parameters are calculated based on the desired system response and the characteristics of the system being controlled. The process typically involves analyzing the system's dynamics, stability, and performance requirements, and then using mathematical models and control theory to determine the appropriate control parameters. This may involve techniques such as root locus analysis, frequency response analysis, and pole placement methods to design the controller and calculate the control parameters. The goal is to ensure that the control system achieves the desired performance while maintaining stability and robustness.
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What is control engineering in electrical engineering?
Control engineering in electrical engineering is the application of control theory to design systems that regulate the behavior of dynamic systems. It involves the use of mathematical models and algorithms to manipulate the input to a system in order to achieve the desired output. Control engineers design and implement control systems for a wide range of applications, such as robotics, power systems, and industrial automation. This field is crucial for ensuring the stability, efficiency, and safety of electrical systems.
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What is control engineering 3?
Control engineering 3 is a branch of engineering that deals with designing and implementing control systems to manage and regulate the behavior of dynamic systems. It involves the use of mathematical models, algorithms, and feedback mechanisms to ensure that systems operate efficiently and effectively. Control engineering 3 builds upon the principles of control engineering 1 and 2, focusing on more complex systems and advanced control strategies. This field is crucial in various industries, including aerospace, automotive, robotics, and manufacturing, to optimize performance, stability, and reliability of systems.
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What is Kp-Krit in control engineering?
Kp-Krit, also known as the ultimate gain, is a parameter used in control engineering to determine the ultimate gain of a system. It is used in the Ziegler-Nichols method for tuning proportional-integral-derivative (PID) controllers. Kp-Krit is the value of the proportional gain at which the system oscillates at its ultimate frequency and amplitude. This parameter is used to calculate the proportional, integral, and derivative gains for the PID controller to achieve the desired system response.
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Engineering Noise Control
This classic and authoritative textbook contains material that is not over-simplified and can be used to solve real-world noise control engineering problems.It covers the principles with practical application of current noise control technology. Topics new or revised from the 5th edition include: beating; addition and subtraction of noise levels; combining multi-path noise level reductions; hearing damage assessment and protection; speech intelligibility; noise weighting curves; instrumentation, including MEMS, IEPE and TEDS sensors; noise source types, including transportation noise and equipment noise estimations; outdoor sound propagation, including noise barriers, meteorological effects and sloping ground effects; sound in rooms, muffling devices, including 4-pole analysis, self noise and pressure drop calculations; sound transmission through single, double and triple partitions; vibration measurement and control, finite element analysis; boundary element methods; and statistical energy analysis. Covers all aspects of industrial and environmental noise controlCore advanced undergraduate and graduate textbook; and reference text for acoustic consultants and engineersPractical applications demonstrate the theoretical conceptsA wide range of example problems and solutions that are linked to noise control practice are available for download from www.causalsystems.com.
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Version Control with Git : Powerful Tools and Techniques for Collaborative Software Development
Track, branch, merge, and manage code revisions with Git, the free and open source distributed version control system.Through a series of step-by-step tutorials, this practical guide quickly takes you from Git fundamentals to advanced techniques, and provides friendly yet rigorous advice for navigating Git's many functions.You'll learn how to work with everything from small to very large projects with speed and efficiency. In this third edition, authors Prem Kumar Ponuthorai and Jon Loeliger break down Git concepts using a modular approach.You'll start with the basics and fundamental philosophy of Git, followed by intermediate commands to help you efficiently supplement your daily development workflow.Finally, you'll learn advanced Git commands and concepts to understand how Git works under the hood.Learn how to use Git for real-world development scenarios Gain insight into Git's common use cases, initial tasks, and basic functions Use the system for distributed version control Learn how to manage merges, conflicts, patches, and diffs Apply advanced techniques such as rebasing, hooks, and ways to handle submodules
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Patterns in the Machine : A Software Engineering Guide to Embedded Development
Discover how to apply software engineering patterns to develop more robust firmware faster than traditional embedded development approaches.In the authors’ experience, traditional embedded software projects tend towards monolithic applications that are optimized for their target hardware platforms.This leads to software that is fragile in terms of extensibility and difficult to test without fully integrated software and hardware.Patterns in the Machine focuses on creating loosely coupled implementations that embrace both change and testability. This book illustrates how implementing continuous integration, automated unit testing, platform-independent code, and other best practices that are not typically implemented in the embedded systems world is not just feasible but also practical for today’s embedded projects. After reading this book, you will have a better idea of how to structure your embedded software projects.You will recognize that while writing unit tests, creating simulators, and implementing continuous integration requires time and effort up front, you will be amply rewarded at the end of the project in terms of quality, adaptability, and maintainability of your code.What You Will Learn Incorporate automated unit testing into an embedded projectDesign and build functional simulators for an embedded projectWrite production-quality software when hardware is not availableUse the Data Model architectural pattern to create a highly decoupled design and implementationUnderstand the importance of defining the software architecture before implementation starts and how to do itDiscover why documentation is essential for an embedded projectUse finite state machines in embedded projects Who This Book Is ForMid-level or higher embedded systems (firmware) developers, technical leads, software architects, and development managers.
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Advanced Manufacturing and Automation VIII
This proceeding is a compilation of selected papers from the 8th International Workshop of Advanced Manufacturing and Automation (IWAMA 2018), held in Changzhou, China on September 25 - 26, 2018.Most of the topics are focusing on novel techniques for manufacturing and automation in Industry 4.0 and smart factory.These contributions are vital for maintaining and improving economic development and quality of life.The proceeding will assist academic researchers and industrial engineers to implement the concepts and theories of Industry 4.0 in industrial practice, in order to effectively respond to the challenges posed by the 4th industrial revolution and smart factory.
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What is the fundamental difference between control engineering and regulation engineering?
Control engineering focuses on designing systems to maintain a desired output despite disturbances, uncertainties, and variations in the input. It involves the use of feedback to continuously monitor the output and adjust the input to maintain the desired performance. On the other hand, regulation engineering is more focused on maintaining a specific setpoint or reference value for the output, without necessarily considering disturbances or uncertainties. It involves designing systems to achieve a specific desired output and maintaining it at a constant level. In summary, control engineering deals with maintaining performance despite disturbances, while regulation engineering focuses on maintaining a specific setpoint.
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What are examples of tasks in control engineering?
Examples of tasks in control engineering include designing and implementing control systems for various applications such as robotics, aircraft, and industrial processes. This involves analyzing system dynamics, developing mathematical models, designing controllers, tuning parameters, and testing the system's performance. Control engineers also work on optimizing system behavior, ensuring stability, and improving efficiency through feedback control mechanisms. Additionally, they may be involved in troubleshooting and maintaining control systems to ensure they operate effectively.
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What is the characteristic equation in control engineering?
The characteristic equation in control engineering is a polynomial equation that is derived from the transfer function of a control system. It is used to determine the stability of the system by finding the roots of the characteristic equation. The roots of the characteristic equation, also known as the poles of the system, provide valuable information about the behavior of the system, such as its stability, transient response, and frequency response. By analyzing the characteristic equation, control engineers can design and tune control systems to achieve the desired performance.
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Does the RGB control work in a software?
Yes, RGB control typically works through software provided by the manufacturer of the RGB components. This software allows users to customize the colors, patterns, and brightness of the RGB lighting on their devices. Users can usually adjust these settings to create their desired lighting effects and synchronize them across multiple components for a cohesive look.
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