Automatisk styringsteknik og reguleringsteknik

Dream Chasing is a recounting by author Bob Weis of four decades of creating and seeing to completion challenging projects, leading teams from the top secret, high-tech corridors of Walt Disney Imagineering (WDI) to the highest levels of The Walt Disney Company. Our author recounts working on and overseeing projects that took him from Anaheim, California, to the swampy wetlands of Central Florida, and even on to Paris.

This book describes the research progress of the control design about strict-feedback nonlinear systems. A novel gain control design method is proposed, which greatly simplifies the construction procedure of controller for strict-feedback nonlinear systems. The control design problem of strict-feedback nonlinear systems is converted into the determination problem of gain parameters or the construction of dynamic gain equations. Therefore, the tedious iterative design procedure is effectively avoided. This book can be used as a reference for researchers in the field of control theory and engineers seeking advanced methods in practical control applications.

Biomechatronics is rapidly becoming one of the most influential and innovative research directions defining the 21st century. The second edition Biomechatronics provides a complete and up-to-date account of this advanced subject at the university textbook level. This new edition introduces two new chapters - Animals Biomechatronics and Plants Biomechatronics - highlighting the importance of the rapidly growing world population and associated challenges with food production. Each chapter is co-authored by top experts led by Professor Marko B. Popovic, researcher and educator at the forefront of advancements in this fascinating field. Starting with an introduction to the historical background of Biomechatronics, this book covers recent breakthroughs in artificial organs and tissues, prosthetic limbs, neural interfaces, orthotic systems, wearable systems for physical augmentation, physical therapy and rehabilitation, robotic surgery, natural and synthetic actuators, sensors, and control systems. A number of practice prompts and solutions are provided at the end of the book. The second edition of Biomechatronics is a result of dedicated work of a team of more than 30 contributors from all across the globe including top researchers and educators in the United States (Popovic, Lamkin-Kennard, Herr, Sinyukov, Troy, Goodworth, Johnson, Kaipa, Onal, Bowers, Djuric, Fischer, Ji, Jovanovic, Luo, Padir, Tetreault), Japan (Tashiro, Iraminda, Ohta, Terasawa), Sweden (Boyraz), Turkey (Arslan, Karabulut, Ortes), Germany (Beckerle and Wiliwacher), New Zealand (Liarokapis), Switzerland (Dobrev), and Serbia (Lazarevic).

In der heutigen industriellen Produktion werden neue, flexibel einsetzbare Unterstützungssysteme notwendig, wie sie beispielsweise hybride Montagesysteme in Form von Leichtbaurobotern bieten. Der Einsatz solcher Systeme stellt dabei erhebliche Anforderungen an die Maschinensicherheit. Dies führt häufig zu einem Konflikt zwischen Produktivität und Sicherheit der Anwendung. Die nicht ausreichende Differenzierung zwischen Leichtbau- und Industrieroboter stellt dabei die größte Herausforderung dar, weshalb für die Interaktionsform der Koexistenz eine erweiterte Bewertungsmethodik erarbeitet wurde. Diese ermöglicht es, den normativen Sicherheitsabstand ohne Kompromittierung der Sicherheit zu reduzieren, um das volle Potential der neuen Technologie auszuschöpfen.

The intriguing meeting point of technology and mankind is explored in "Robot Revolution: Exploring the Future of Automation and Artificial Intelligence" by Mahesh Dutch, providing an enthralling examination of the revolutionary potential of AI and robotics. In this insightful book, Dutch guides readers through the ever-changing world of automation, providing a thorough examination of the innovations that are changing businesses, economies, and communities all around the globe. Dutch, drawing on his extensive knowledge in the subject, offers a fair and perceptive assessment of the possible advantages and disadvantages presented by the proliferation of robots. This book deftly traverses the murky waters of robots, covering everything from the use of AI in healthcare and manufacturing to the effects on the labor market and moral dilemmas. An engrossing storyline that blends thorough research with approachable storytelling will captivate readers and simplify difficult technological ideas for a wide audience. The author urges readers to think about how these advances will change the future of work, education, and society structures as he predicts that robots will be a part of our everyday life. For those interested in the possibilities and threats that the AI and automation industry may face in the years to come, "Robot Revolution" is an essential read. In his work, Mahesh Dutch encourages readers to think about the future of technology and how it will change our lives, our jobs, and our relationships with the world.

This contributed volume aims to build the foundation of a framework for computationally aware algorithmic design for cyber-physical systems (CPSs), focusing on approaches that take computation into account at the design stage to address their impact on performance and safety. It demonstrates how novel techniques may emerge from the combination of formal methods, model predictive control, distributed optimization, data-driven methods, reconfigurable/adaptive methods, and information-theoretic techniques.Chapters are written by both researchers and practitioners and cover such topics as analysis and design of uncertain CPSs, cooperative and non-cooperative paradigms for handling complexity in large scale CPSs,task-relevant environment abstractions for autonomous systems based on information theory,information flow in event-based stabilization of CPSs,set-valued model predictive control, andautomated synthesis of certifiable controllers for CPSs.State-of-the-art applications and case studies are provided throughout with a special focus on intelligent transportation systems and autonomous vehicles.Graduate students and researchers with an interest in CPS verification and control will find this volume to be a valuable resource in their work. It will also appeal to researchers from disciplines other than control, such as computer science, operations research, applied mathematics, and robotics.

This book deals with the study of tilt-rotor omnidirectional aerial robots and their application to aerial physical interaction tasks. Omnidirectional aerial robots possess decoupled translational and rotational dynamics, which are important for stable and sustained aerial interaction. The additional ability to dynamically re-orient thrust vectors opens the door to a wide array of possible morphologies and system capabilities. Through modeling, control, prototype design, and experimental evaluation, this book presents a comprehensive methodology and examples for the development of a novel tilt-rotor aerial manipulator. This work serves as a guide for envisioning and constructing innovative systems that will advance the frontier of aerial manipulation.

This book gathers invited contributions as survey and research reports in mechanism and machine science (MMS) ranging across the entire field, related in most instances to the works of late Prof. Carlos López Cajún, one of the field's most prominent scholars. The book provides state-of-the-art information and showcases the latest achievements and challenges of MMS. The book is an accessible avenue to understanding ideas and solutions by leading international scientists who offer much-needed historical insights into the MMS field with future perspectives.

This book describes new energy service controls of VRF (Variable Refrigerant Flow) air-conditioners, i.e., distributed-type air-conditioners for commercial buildings in the near future, in the context of the energy savings for CO2 reduction and the reform of the electric power system. In other words, this book introduces the state-of-the-art technology of the next-generation distributed building air-conditioning energy service system, from IoT cloud control to AI optimal control, as well as standards for the smart grid supply and demand adjustment market. Rather than simple saving energy by On Off operations or shifting set- temperatures, the author proposes technology that sends numerical commands for the air-conditioner inverters directly from the cloud. By using this innovative IoT method, this book describes how to realizes the AI optimal cloud control as a cluster of air-conditioners while machine-learning of each air conditioner's situation.

This research study evaluates the role of policy regarding the use of automation in flight on the safety of aviation in the United States. Specifically, following the investigation of several high-profile aircraft mishaps that identified misuse or overuse of automation at inappropriate times during flight, several best practices have developed among airline operators as to the acceptable use of flight automation. However, there has never been a coordinated governmental policy on the use of automated equipment, procedures, or communication promulgated by the Federal Aviation Administration (FAA), the International Civil Aviation Organisation (CIAO), or industry work groups. While there has been considerable research among social scientists on the impact of human error and misunderstanding on automated systems, and while great progress has been made in the area of human factor consideration in designing air planes and the systems used to control them, there has been little research on the public policy aspect of these considerations. Even though the FAA has established a research group specifically dedicated to the impact of human factor considerations on flying (Chandra & Gray hem, 2012), there has been no subsequent discussion on the policy changes those results should dictate.

This monograph explores the analysis and design of model-free optimal control systems based on reinforcement learning (RL) theory, presenting new methods that overcome recent challenges faced by RL.  New developments in the design of sensor data efficient RL algorithms are demonstrated that not only reduce the requirement of sensors by means of output feedback, but also ensure optimality and stability guarantees.  A variety of practical challenges are considered, including disturbance rejection, control constraints, and communication delays.  Ideas from game theory are incorporated to solve output feedback disturbance rejection problems, and the concepts of low gain feedback control are employed to develop RL controllers that achieve global stability under control constraints.Output Feedback Reinforcement Learning Control for Linear Systems will be a valuable reference for graduate students, control theorists working on optimal control systems, engineers, and applied mathematicians.

Manufacturing from Industry 4.0 to Industry 5.0: Advances and Applications unfolds establishing three main pillars: (i) it investigates the theoretical background of the current industrial practice within the framework of industry 4.0 by presenting its key definitions and backbone technologies; (ii) it discusses the methods and state-of-the-art developments employed in the ongoing digital transformation of companies worldwide to promote more resilient, sustainable, and human-centric smart manufacturing and production networks; and (iii) it outlines a strategic plan for the transition from industry 4.0 to industry 5.0. Written by an international group of expert scientists, this volume offers an overview of the most recent research in the field and provides actionable insights to benefit audiences in both academia and industry.

Handbook of Robotic Surgery serves as a primer covering the main areas of knowledge in robotic surgery. This comprehensive book provides essential information on all aspects related to robotic surgery, from the present up to the future. The discussion presented in sections ranges from the historical background of robotic surgery up to more recent and future technological innovations such as remote controls, surgically distant collaboration, simulators, modern surgical robotics, fluorescence-guided surgery, and virtual reality. The book also contains sections dedicated to the safety conditions in surgery and patient protection, which will be suitable for surgeons, health professionals, biomedical engineering professionals, healthcare administrators, and students. There are specific chapters for all areas in which robotic surgery has been used in daily clinical practice or is under development.

Enhancing NOx Removal with Fractional Controller is a comprehensive guide for researchers, engineers, and practitioners working in the field of diesel engine exhaust emissions control. The author of this book is, an experienced researcher and expert in the area of control systems engineering.The book provides a detailed analysis of the NOx removal efficiency from diesel engine exhaust using a fractional order-based LQR-PI¿ controller. It discusses the challenges faced in controlling the NOx emissions from diesel engines, which have become a significant environmental concern due to their adverse impact on air quality and human health.The book presents a novel approach based on fractional calculus and the LQR-PI¿ controller to improve the NOx removal efficiency. The theoretical concepts and the practical implementation of the proposed method are explained in detail, along with simulation results and experimental validation.Furthermore, the book provides an in-depth understanding of the underlying principles of fractional calculus and the LQR-PI¿ controller, making it a valuable resource for students and researchers new to the field. The author's expertise and extensive research experience are evident in the clarity and depth of the content presented in the book.Overall, Enhancing NOx Removal with Fractional Controller is an essential reference for anyone interested in the development and implementation of control strategies for diesel engine exhaust emissions control, with a specific focus on NOx removal efficiency.

The book focuses the latest endeavors relating researches and developments conducted in fields of control, robotics, and automation. Through ten revised and extended articles, the present book aims to provide the most up-to-date state-of-the-art of the aforementioned fields allowing researcher, Ph.D. students, and engineers not only updating their knowledge but also benefiting from the source of inspiration that represents the set of selected articles of the book.The deliberate intention of editors to cover as well theoretical facets of those fields as their practical accomplishments and implementations offers the benefit of gathering in a same volume a factual and well-balanced prospect of nowadays research in those topics. A special attention toward ¿Intelligent Robots and Control¿ may characterize another benefit of this book.

The book is devoted to design and optimization of control units represented by combined finite state machines (CFSMs). The CFSMs combine features of both Mealy and Moore FSMs. Having states of Moore FSM, they produce output signals of both Mealy and Moore types. To optimize the circuits of CFSMs, we propose to use optimization methods targeting both Mealy and Moore FSMs. The book contains some original synthesis and optimization methods targeting hardware reduction in VLSI-based CFSM circuits. These methods take into account the peculiarities of both a CFSM model and a VLSI chip in use. The optimization is achieved due to combining classical optimization methods with new methods proposed in this book. These new methods are a mixed encoding of collections of microoperations and a twofold state assignment in CFSMs. All proposed methods target reducing the numbers of arguments in systems of Boolean functions representing CFSM circuits. Also, we propose to use classes of pseudoequivalent states of Moore FSMs to reduce the number of product terms in these systems.The book includes a lot of examples which contributes to a better understanding of the features of the synthesis methods under consideration.   This is the first book entirely devoted to the problems associated with synthesis and optimization of VLSI-based CFSMs. We hope that the book will be interesting and useful for students and PhD students in the area of Computer Science, as well as for designers of various digital systems. We think that proposed CFSM models enlarge the class of models applied for implementation of control units with modern VLSI chips.  

This monograph represents the outcome of research effort of the authors on scalable synchronization of large-scale multi-agent systems (MAS). Cooperative control of multi-agent systems has been growing in popularity and is highly interdisciplinary in recent years. The application of synchronization of MAS includes automobile systems, aerospace systems, multiple-satellite GPS, high-resolution satellite imagery, aircraft formations, highway traffic platooning, industrial process control with multiple processes, and more. Most of the proposed protocols in the literature for synchronization of MAS require some knowledge of the communication network such as bounds on the spectrum of the associated Laplacian matrix and the number of agents. These protocols suffer from scale fragility wherein stability properties are lost for large-scale networks or when the communication graph changes. In the past few years, the authors of this monograph have worked on developing scale-free protocol design for various cases of MAS problems. The key contribution of the monograph is to offer a scale-free design framework and provide scale-free protocols to achieve synchronization, delayed synchronization, and almost synchronization in the presence of input and communication delays, input saturation and external disturbances. The scale-free design framework solely is based on the knowledge of agent models and does not depend on information about the communication network such as the spectrum of the associated Laplacian matrix or size of the network. Drawing upon their extensive work in this area, the authors provide a thorough treatment of agents with higher-order dynamics, different classes of models for agents, and the underlying networks representing actions of the agents. The high technical level of their presentation and their rigorous mathematical approach make this monograph a timely and valuable resource that will fill a gap in the existing literature.

This book presents parts of the iM3F 2023 proceedings from the mechatronics as well as the intelligent manufacturing tracks. It highlights recent trends and key challenges in mechatronics as well as the advent of intelligent manufacturing engineering and technology that are non-trivial in embracing Industry 4.0 as well as addressing the UN Sustainable Development Goals. The book deliberates on conventional as well as advanced solutions that are utilized in the variety of mechatronics and intelligent manufacturing-based applications. The readers are envisaged to gain an insightful view on the current trends, issues, mitigating factors as well as solutions from this book. It provides a platform that allows academics as well as other relevant stakeholders to share, discuss, and deliberate their latest research findings in the field of manufacturing, mechatronics, and materials, respectively.

I write this book aim to let readers to feel whether how artificial intelligent technology will influence future technological development to influence human life. How can artificial intelligent tools can bring positive or negative impact to influence future technological development. In first chapter, I shall explain how (AI) influence future technology development to influence human living standard. Whether future (AI) will influence technological development to raise human living standard only in possible. Will (AI) bring negative impact to human living standard when it assist technological development ? I suppose that human living of standard will become better if future human technology will be improved from (AI) development for some industries aspects, such as education, manurfacturing, communication industries. In chapter two, I shall indicate that nowadays, artificial intelligence (AI) technology is popular to be applied to different industry aspects, such as medical, construction, transportation, hospital, education etc. Although, (AI) is a human invention new development. IN fact, it seems only beneficial to human's daily life. But, it will also have threats to influence human's safety in possible , if some scientists or self-interest mind people who aim to apply (AI) to earn more profit or apply (AI) tools to be weapon to attack other countries to achieve to dominate all human's ambitious intention. Thus, (AI) will bring negative influences to our society, instead of positive influences if we can not apply this kind of new technological tools immorally. In this chapter, I shall give my opinions to indicate what reasons will cause (AI) artificial intelligent tools to be applied to social military defense weapon by human's intention. In my this books, I hope my readers can know what will cause human's immoral behaviors to bring our societies to bring more dangerous or risks or threats if human applied (AI) technology to achieve whose immoral or ambitious intention. Finally, I hope that human ought not apply (AI) technology to do any behavioral attack to satisfy ourselves interest or dominate global world ambition to avoid (AI) technological war occurrence in the future one day. In chapter three, I shall explain how future (AI) technology can raise future computer innovation development to different industries applied. I aim to give my opinion to predict how future (AI) technology has direct relationship to assist global computer industry innovation. I shall explain why China and Taiwan will be US computer industry major competitors in the future if China succeeded to develop (AI) technology to dominate global computer industry. In chapter four, I shall research this question: Can (AI) technology change the traditional production of factor model to replace land, labor,capital, knowledge production of factors? I shall indicate a descriptive methodology of system analysis to explain whether (AI)technology is needed on economic progress or not, and whether (AI) technological innovation can raise efficiency and more productivity to all industries or not. Is (AI) the only solution for raising productivity and efficiency, who are losing out in the race is investment in all its forms, in both equipment and people? This analysis will be of interest to all those faced with economic decisions: engineers, managers, scientists and administrators as well as economists need to learn how to use (AI)technology to solve low efficiency and low productivity challenges.

Introduction This book divides two parts. The first part indicate why (AI) product manufacturers need to concern moral or ethic to manufacture any (AI) products. The second part indicate why scientists need to concern science moral or ethic to do whose scientific researches. In first part, I shall indicate these two questions to concern the difference between (AI) scientist moral and other scientist moral. (AI) research and development raises two questions about moral responsibilities: Should we continue to develop artificial intelligent entities? If we do, what are our moral responsibilities to them? I write this (AI) moral first part aims to let readers to make argument that to judge why robots need have legal, ethic, or moral limitation to concern whether much of robot ethics is concerned with the well-being of human or/and not ethical employment, or moral regard and threaten of robots. Whether robot ethic or moral or legal questions ought need to be considered by law or society or fully moral agent, and whether any robot ethic or moral or legal issues whether are permitted to enter contracts and largely whether are held fully responsible to ( at least some of ) their actions. The most important aim that I expect my readers can make critically logical mind to give yourself opinions to concern whether either which robots will ethical consequence or in this situation, it is not an issue of the morality of the decider, but rather the moral weight of the choice once made. In AI weapon immoral application aspect, Nowadays, artificial intelligence (AI) technology is popular to be applied to different industry aspects, such as medical, construction, transportation, hospital, education etc. Although, (AI) is a human invention new development. IN fact, it seems only beneficial to human's daily life. But, it will also have threats to influence human's safety in possible , if some scientists or self-interest mind people who aim to apply (AI) to earn more profit or apply (AI) tools to be weapon to attack other countries to achieve to dominate all human's ambitious intention. Thus, (AI) will bring negative influences to our society, instead of positive influences if we can not apply this kind of new technological tools immorally. I shall give my opinions to indicate what reasons will cause (AI) artificial intelligent tools to be applied to social military defense weapon by human's intention. In my this books, I hope my readers can know what will cause human's immoral behaviors to bring our societies to bring more dangerous or risks or threats if human applied (AI) technology to achieve whose immoral or ambitious intention. Finally, I hope that human ought not apply (AI) technology to do any behavioral attack to satisfy ourselves interest or dominate global world ambition to avoid (AI) technological war occurrence in the future one day. I shall bring the question: Whether AI weapon application is moral or immoral to AI scientist invention.

This book concerns to be given my opinions to explain how artificial intelligent technology will impact our life and will influence economic development in the future as well as how to influence human job market change. In labor market part, I shall indicate how artificial intelligence technology influences future macro global economy change. Advances in artificial intelligence (AI) technology is for the progress in critical areas, such as health, education, energy, economy inclusion, social welfare and the environment. Thus, it brings this question: Which (AI) workers be instead of traditional human workers in these different new markets? In recent years, machines had been used to be human's tasks in the performance of certain tasks related to intelligence , such as aspects of image recognition. Experts also forecast that rapid progress in the field of specialized artificial intelligence will continue. Then, it also brings this question: Does (AI) exceed that of human performance on more and more tasks? If it is truth, will some of human jobs to be disappeared? (AI) will be instead of human some simple jobs, then unemployment rate to the low skillful and low educated workers will be increased. Whether (AI) will be raised either production or performance or unemployment to bring human job market more advantages or more disadvantages? In my this book, I shall explain whether (AI) will bring benefits or disadvantages to human job market. I shall give example to let my readers to think how to support my final view point. In macro economy change part, chapter one, I shall explain what the (AI) functions are benefited to human and I shall indicate whether how it can impact human job nature as well as I shall explain whether (AI) can influence to change to human job market to be better or worse in future global labor market. In chapter two, I shall indicate how (AI) will influence global economic technology productivity change as well as I shall indicate whether (AI) technology can impact global service management industry development. In chapter three, I shall indicate whether (AI) technology will influence digital industry economic change as well as I shall indicate whether (AI) technology can influence developing countries' economic change and health and manufacturing change , even global economic change in our future life. Part four concerns how to apply AI technological development to tourism industry. It has these two research questions need to be answered? (1) Can apply (AI) learning machine predict travelling consumer behavior? (2) Can (AI) big data gathering learning machine be replaced to human travelling marketing research method, e.g. survey or traveler psychological and travelling marketing research or travelling environment micro and macro economic human judgement of traveler consumption behavior prediction methods to predict travelling consumer behaviors more accurate?

These proceedings address the latest developments in the broad area of intelligent construction integrated in the mission of the International Society for Intelligent Construction (ISIC) which aims to promote intelligent construction technologies applications from the survey, design, construction, operation, and maintenance/rehabilitation by adapting to changes of environments and minimizing risks. Its goals are to improve the quality of construction, cost-saving, and safety, exploring fundamental issues related to the application and use of Artificial Intelligence (AI) and Machine Learning techniques and technology.ISIC 2022 is the 3rd ISIC international conference, held in Guimares, Portugal on September 6-9, 2022, and follows the previous successful instalments of the conference series in China (2019) and USA (2017). It took a holistic approach to integrate civil engineering, construction machinery, electronic sensor technology, survey/testing technologies, information technology/computing, and other related fields in the broad area of intelligent construction. The respective contributions cover the following topics: Artificial Intelligence for Design and the Built Environment, Building Information Modelling (BIM) and Construction Automation and Robotics, Intelligent Construction, Sustainable Construction, and Sustainable and Smart Infrastructures.Given its broad range of coverage, the book will benefit students, educators, researchers and professionals practitioners alike, encouraging these readers to help the intelligent construction community into the digital era and with a vision on societal issues.

The TP and TS Fuzzy model transformation based control design has revolutionized the field of control design by introducing a highly effective approach. Through the TP model transformation, it has become evident that the design of controllers and observers, as well as the effectiveness of applied LMIs, are greatly influenced by the shape of the antecedent Fuzzy sets and the number and location of the consequent systems.Furthermore, the TP model transformation has revealed that the sensitivity of controller and observer design differs in nature. This implies that the overseer and controller design require different TS Fuzzy model representations of the system at hand. This book offers a comprehensive exploration of this phenomenon.The book introduces several new theoretical advancements in the TP or TS Fuzzy model transformation based control design framework. It presents a complete framework for TP and TS Fuzzy model transformation and offers various tools based on this approach to enhance control design effectiveness. The book introduces novel theoretical concepts, such as interpolation between alternative TS Fuzzy model representations, which leads to a new optimization framework. It also explores methods to achieve further complexity reduction beyond rank minimization. Additionally, the book addresses the execution of TS Fuzzy model transformation for large-sized problems and demonstrates how to reinforce various properties of antecedent Fuzzy sets through manipulation.Practical hints and guidance for control design is provided throughout the book, with examples illustrating the application of novel solutions. Matlab codes are also included to facilitate the implementation of the proposed methods.