{"title":"Series: IEEE Press Series on Systems Science and Engineering","description":"\u003cp\u003eThe \u003cstrong\u003eIEEE Press Series on Systems Science and Engineering\u003c\/strong\u003e offers a diverse selection of titles spanning cutting-edge topics in computing, technology, and systems theory. Readers will find works that explore complex concepts in cybersecurity, investment strategies, and ethical considerations within modern systems. This series appeals to those intrigued by the interplay of technology, philosophy, and practical applications in fields such as finance, business, and wellness.\u003c\/p\u003e\n\n\u003cp\u003eBeyond technical expertise, the series also touches on broader themes including history, psychology, and even travel, offering a multifaceted perspective on systems thinking. Whether delving into algorithmic security, behavioural economics, or cultural insights, these titles invite readers to engage deeply with contemporary challenges and innovations across disciplines.\u003c\/p\u003e","products":[{"product_id":"e-cargo-and-role-based-collaboration-by-haibin-zhu-9781119693062","title":"E-CARGO and Role-Based Collaboration","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cb\u003eE-CARGO and Role-Based Collaboration\u003c\/b\u003e\n\n\u003cp\u003e\u003cb\u003eA model for collaboratively solving complex problems\u003c\/b\u003e\u003c\/p\u003e\n\n\u003cp\u003e\u003ci\u003eE-CARGO and Role-Based Collaboration\u003c\/i\u003e offers a unique guide that explains the nature of collaboration, explores an easy-to-follow process of collaboration, and defines a model to solve complex problems in collaboration and complex systems. Written by a noted expert on the topic, the book initiates the study of an effective collaborative system from a novel perspective. The role-based collaboration (RBC) methodology investigates the most important aspects of a variety of collaborative systems including societal-technical systems. The models and algorithms can also be applied across system engineering, production, and management.\u003c\/p\u003e\n\n\u003cp\u003eThe RBC methodology provides insights into complex systems through the use of its core model E-CARGO. The E-CARGO model provides the fundamental components, principles, relationships, and structures for specifying the state, process, and evolution of complex systems. This important book:\u003c\/p\u003e\n\n\u003cul\u003e\n    \u003cli\u003eContains a set of concepts, models, and algorithms for the analysis, design, implementation, maintenance, and assessment of a complex system\u003c\/li\u003e\n    \u003cli\u003ePresents computational methods that use roles as a primary underlying mechanism to facilitate collaborative activities including role assignment\u003c\/li\u003e\n    \u003cli\u003eExplores the RBC methodology that concentrates on the aspects that can be handled by individuals to establish a well-formed team\u003c\/li\u003e\n    \u003cli\u003eOffers an authoritative book written by a noted expert on the topic\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eWritten for researchers and practitioners dealing with complex problems in collaboration systems and technologies, \u003ci\u003eE-CARGO and Role-Based Collaboration\u003c\/i\u003e contains a model to solve real world problems with the help of computer-based systems.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47000601788652,"sku":"9781119693062","price":257.99,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/17877683482586.jpg?v=1763288467"},{"product_id":"human-robot-interaction-control-using-reinforcement-learning-by-adolfo-perrusquia-9781119782742","title":"Human-Robot Interaction Control Using Reinforcement Learning","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cb\u003eA comprehensive exploration of the control schemes of human-robot interactions\u003c\/b\u003e\u003c\/p\u003e\n\n\u003cp\u003eIn \u003ci\u003eHuman-Robot Interaction Control Using Reinforcement Learning\u003c\/i\u003e, an expert team of authors delivers a concise overview of human-robot interaction control schemes and insightful presentations of novel, model-free and reinforcement learning controllers. The book begins with a brief introduction to state-of-the-art human-robot interaction control and reinforcement learning before moving on to describe the typical environment model. The authors also describe some of the most famous identification techniques for parameter estimation.\u003c\/p\u003e\n\n\u003cp\u003e\u003ci\u003eHuman-Robot Interaction Control Using Reinforcement Learning\u003c\/i\u003e offers rigorous mathematical treatments and demonstrations that facilitate the understanding of control schemes and algorithms. It also describes stability and convergence analysis of human-robot interaction control and reinforcement learning-based control.\u003c\/p\u003e\n\n\u003cp\u003eThe authors also discuss advanced and cutting-edge topics, like inverse and velocity kinematics solutions, H2 neural control, and likely upcoming developments in the field of robotics.\u003c\/p\u003e\n\n\u003cp\u003eReaders will also enjoy:\u003c\/p\u003e\n\u003cul\u003e\n    \u003cli\u003eA thorough introduction to model-based human-robot interaction control\u003c\/li\u003e\n    \u003cli\u003eComprehensive explorations of model-free human-robot interaction control and human-in-the-loop control using Euler angles\u003c\/li\u003e\n    \u003cli\u003ePractical discussions of reinforcement learning for robot position and force control, as well as continuous time reinforcement learning for robot force control\u003c\/li\u003e\n    \u003cli\u003eIn-depth examinations of robot control in worst-case uncertainty using reinforcement learning and the control of redundant robots using multi-agent reinforcement learning\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003ePerfect for senior undergraduate and graduate students, academic researchers, and industrial practitioners studying and working in the fields of robotics, learning control systems, neural networks, and computational intelligence, \u003ci\u003eHuman-Robot Interaction Control Using Reinforcement Learning\u003c\/i\u003e is also an indispensable resource for students and professionals studying reinforcement learning.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47470848639212,"sku":"9781119782742","price":287.99,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/8636ab0a8a60aa764f227aaf587723ef.jpg?v=1775792940"},{"product_id":"sustainable-manufacturing-systems-an-energy-perspective-by-mengchu-zhou-9781119578246","title":"Sustainable Manufacturing Systems: An Energy Perspective","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cb\u003eSustainable Manufacturing Systems\u003c\/b\u003e\u003c\/p\u003e\n\n\u003cp\u003e\u003cb\u003eLearn more about energy efficiency in traditional and advanced manufacturing settings with this leading and authoritative resource.\u003c\/b\u003e\u003c\/p\u003e\n\n\u003cp\u003e\u003ci\u003eSustainable Manufacturing Systems: An Energy Perspective\u003c\/i\u003e delivers a comprehensive analysis of energy efficiency in sustainable manufacturing. The book presents manufacturing modelling methods and energy efficiency evaluation and improvement methods for different manufacturing systems. It allows industry professionals to understand the methodologies and techniques being embraced around the world that lead to advanced energy management.\u003c\/p\u003e\n\n\u003cp\u003eThe book offers readers a comprehensive and systematic theoretical foundation for novel manufacturing system modelling, analysis, and control. It concludes with a summary of the insights and applications contained within and a discussion of future research issues that have yet to be grappled with.\u003c\/p\u003e\n\n\u003cp\u003e\u003ci\u003eSustainable Manufacturing Systems\u003c\/i\u003e answers the questions that energy customers, managers, decision-makers, and researchers have been asking about sustainable manufacturing. The book’s release coincides with recent and profound advances in smart grid applications and will serve as a practical tool to assist industrial engineers in furthering the green revolution. Readers will also benefit from:\u003c\/p\u003e\n\n\u003cul\u003e\n  \u003cli\u003eA thorough introduction to energy efficiency in manufacturing systems, including the current state of research and research methodologies.\u003c\/li\u003e\n  \u003cli\u003eAn exploration of the development of manufacturing methodologies, including mathematical modelling for manufacturing systems and energy efficiency characterization in manufacturing systems.\u003c\/li\u003e\n  \u003cli\u003eAn analysis of the applications of various methodologies, including electricity demand response for manufacturing systems and energy control and optimization for manufacturing systems utilizing combined heat and power systems.\u003c\/li\u003e\n  \u003cli\u003eA discussion of energy efficiency in advanced manufacturing systems, like stereolithography additive manufacturing and cellulosic biofuel manufacturing systems.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003ePerfect for researchers, undergraduate students, and graduate students in engineering disciplines, especially for those majoring in industrial, mechanical, electrical, and environmental engineering, \u003ci\u003eSustainable Manufacturing Systems\u003c\/i\u003e will also earn a place in the libraries of management and business students interested in manufacturing system cost performance and energy management.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47471658172652,"sku":"9781119578246","price":276.99,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9781119578246-sustainable-manufacturing-systems-an-energy-perspective.jpg?v=1775249017"}],"url":"https:\/\/bookhero.live\/collections\/series-ieee-press-series-on-systems-science-and-engineering.oembed","provider":"Book Hero","version":"1.0","type":"link"}