Explicit Nonlinear Model Predictive Control

This book presents a study on the novel concept of“event-triggered control of nonlinear systems subject to disturbances”, discussing the theory and practical applications. Richly illustrated, it is a valuable resource for researchers, engineers and graduate students in automation engineering who wish to learn the theories, technologies, and applications of event-triggered control of nonlinear systems.

Predictive Sentencing addresses the role of risk assessment in contemporary sentencing practices. Predictive sentencing has become so deeply ingrained in Western criminal justice decision-making that

Discover the subject of optimization in a new light with this modern and unique treatment. Includes a thorough exposition of applications and algorithms in sufficient detail for practical use, while providing you with all the necessary background in a self-contained manner. Features a deeper consideration of optimal control, global optimization, optimization under uncertainty, multiobjective optimization, mixed-integer programming and model predictive control. Presents a complete coverage of formulations and instances in modelling where optimization can be applied for quantitative decision-making. As a thorough grounding to the subject, covering everything from basic to advanced concepts and addressing real-life problems faced by modern industry, this is a perfect tool for advanced undergraduate and graduate courses in chemical and biochemical engineering.

Accountability is a staple of Public Administration scholarship, but scholars have been unsuccessful at developing a predictive model of accountable behavior. Large swaths of research about accountability still focuses on scarcely read annual reports as video footage of police encounters are watched and discussed by citizens regularly. In this Element, we seek to further a predictive model of accountability by understanding the norms and expectations associated with the implementation of Body-Worn Cameras. Specifically, this research examines when police departments release, or do not release, footage to the public and the expectations civilians have about the release of that footage. Indirectly, the norms and expectations associated with this technology have broad implications for societal values and the relationship between civilians and law enforcement. Our findings suggest the relationship between law enforcement and civilians is central to the implementation of this policy, and mo

Suitable for both graduate and senior undergraduate students, this textbook offers a logical progression through the underlying principles and practical applications of nonlinear photonics. Building up from essential physics, general concepts, and fundamental mathematical formulations, it provides a robust introduction to nonlinear optical processes and phenomena, and their practical applications in real-world devices and systems. Over 45 worked problems illustrate key concepts and provide hands-on models for students, and over 160 end-of-chapter exercises supply students with plenty of scope to master the material. Accompanied by a complete solutions manual for instructors, including detailed explanations of each result, and drawing on the author's 35 years of teaching experience, this is the ideal introduction to nonlinear photonics for students in electrical engineering.

Applications of queueing network models have multiplied in the last generation, including scheduling of large manufacturing systems, control of patient flow in health systems, load balancing in cloud computing, and matching in ride sharing. These problems are too large and complex for exact solution, but their scale allows approximation. This book is the first comprehensive treatment of fluid scaling, diffusion scaling, and many-server scaling in a single text presented at a level suitable for graduate students. Fluid scaling is used to verify stability, in particular treating max weight policies, and to study optimal control of transient queueing networks. Diffusion scaling is used to control systems in balanced heavy traffic, by solving for optimal scheduling, admission control, and routing in Brownian networks. Many-server scaling is studied in the quality and efficiency driven Halfin–Whitt regime and applied to load balancing in the supermarket model and to bipartite matching in ri

Applications of queueing network models have multiplied in the last generation, including scheduling of large manufacturing systems, control of patient flow in health systems, load balancing in cloud computing, and matching in ride sharing. These problems are too large and complex for exact solution, but their scale allows approximation. This book is the first comprehensive treatment of fluid scaling, diffusion scaling, and many-server scaling in a single text presented at a level suitable for graduate students. Fluid scaling is used to verify stability, in particular treating max weight policies, and to study optimal control of transient queueing networks. Diffusion scaling is used to control systems in balanced heavy traffic, by solving for optimal scheduling, admission control, and routing in Brownian networks. Many-server scaling is studied in the quality and efficiency driven Halfin–Whitt regime and applied to load balancing in the supermarket model and to bipartite matching in ri

Thinking about self-control takes us to the heart of practical decision-making, human agency, motivation, and rational choice. Psychologists, philosophers, and decision theorists have all brought valuable insights and perspectives on how to model self-control, on different mechanisms for achieving and strengthening self-control, and on how self-control fits into the overall cognitive and affective economy. Yet these different literatures have remained relatively insulated from each other. Self-Control, Decision Theory, and Rationality brings them into dialog by focusing on the theme of rationality. It contains eleven newly written essays by a distinguished group of philosophers, psychologists, and decision theorists, together with a substantial introduction, collectively offering state-of-the-art perspectives on the rationality of self-control and the different mechanisms for achieving it.

This book explores how predictive processing, which argues that our brains are constantly generating and updating hypotheses about our external conditions, sheds new light on the nature of the mind. I

This book provides an updated description of the most relevant types of highly nonlinear fibers. It also describes some of their actual applications for nonlinear optical signal processing. Multiple t

This Element presents a philosophical exploration of the concept of the 'model organism' in contemporary biology. Thinking about model organisms enables us to examine how living organisms have been brought into the laboratory and used to gain a better understanding of biology, and to explore the research practices, commitments, and norms underlying this understanding. We contend that model organisms are key components of a distinctive way of doing research. We focus on what makes model organisms an important type of model, and how the use of these models has shaped biological knowledge, including how model organisms represent, how they are used as tools for intervention, and how the representational commitments linked to their use as models affect the research practices associated with them. This title is available as Open Access on Cambridge Core.

This book presents the underlying principles, implementation, and applications of the linear and nonlinear optical properties of materials and has been divided into two parts emphasizing these propert

Designing engineering components that make optimal use of materials requires consideration of the nonlinear static and dynamic characteristics associated with both manufacturing and working environments. The modeling of these characteristics can only be done through numerical formulation and simulation, which requires an understanding of both the theoretical background and associated computer solution techniques. By presenting nonlinear solid mechanics, dynamic conservation laws and principles, and the associated finite element techniques together, the authors provide in this second book a unified treatment of the dynamic simulation of nonlinear solids. Alongside a number of worked examples and exercises are user instructions, program descriptions, and examples for two MATLAB computer implementations for which source codes are available online. While this book is designed to complement postgraduate courses, it is also relevant to those in industry requiring an appreciation of the way t

This book delineates the history of Lp-norm estimation and examines the nonlinear Lp-norm estimation problem that is a viable alternative to least squares estimation problems. It is intended for both

This book addresses fabrication as well as characterization and modeling of semiconductor nanostructures in the optical regime, with a focus on nonlinear effects. The visible range as well as near and

A six-pillar program to combat burnout and realize a more lasting and fulfilling kind of success High achievement comes at a cost. For many of us, angst, restlessness, frayed relationships, burnout, and even substance abuse are unwanted side effects of an obsession with outward achievement and one-upmanship, against both self and others. Brad Stulberg, coauthor of Peak Performance and The Passion Paradox, calls this heroic individualism. When suffering from heroic individualism, the high of occasional wins sustains you for a while. But ultimately, when your best-laid plans fail, you face unforeseen obstacles, or when lasting satisfaction proves elusive, you feel aimless and struggle. In The Practice of Groundedness, Brad Stulberg shares a new model for success that defies the never enough culture of the twenty-first century. At the heart of this model is groundedness--a practice that values presence over rote productivity, accepts that progress is nonlinear, and prioritizes long-term v

Grounded in nearly a century of scientific research, Mastering Self Control is an academic 'how to' in the mastery of self control. Though most of us have an acute awareness of the goals we want to achieve, we have little insight into how we respond to questions central to successful goal attainment. What is a realistic goal? Can we turn intentions to actions? Why do we need a support system? It is within this context that this volume identifies a series of actionable strategies to push readers to master self-control and consequently optimize goal progress.

Grounded in nearly a century of scientific research, Mastering Self Control is an academic 'how to' in the mastery of self control. Though most of us have an acute awareness of the goals we want to achieve, we have little insight into how we respond to questions central to successful goal attainment. What is a realistic goal? Can we turn intentions to actions? Why do we need a support system? It is within this context that this volume identifies a series of actionable strategies to push readers to master self-control and consequently optimize goal progress.

Algorithms influence every facet of modern life: criminal justice, education, housing, entertainment, elections, social media, news feeds, work… the list goes on. Delegating important decisions to machines, however, gives rise to deep moral concerns about responsibility, transparency, freedom, fairness, and democracy. Algorithms and Autonomy connects these concerns to the core human value of autonomy in the contexts of algorithmic teacher evaluation, risk assessment in criminal sentencing, predictive policing, background checks, news feeds, ride-sharing platforms, social media, and election interference. Using these case studies, the authors provide a better understanding of machine fairness and algorithmic transparency. They explain why interventions in algorithmic systems are necessary to ensure that algorithms are not used to control citizens' participation in politics and undercut democracy. This title is also available as Open Access on Cambridge Core.

Algorithms influence every facet of modern life: criminal justice, education, housing, entertainment, elections, social media, news feeds, work… the list goes on. Delegating important decisions to machines, however, gives rise to deep moral concerns about responsibility, transparency, freedom, fairness, and democracy. Algorithms and Autonomy connects these concerns to the core human value of autonomy in the contexts of algorithmic teacher evaluation, risk assessment in criminal sentencing, predictive policing, background checks, news feeds, ride-sharing platforms, social media, and election interference. Using these case studies, the authors provide a better understanding of machine fairness and algorithmic transparency. They explain why interventions in algorithmic systems are necessary to ensure that algorithms are not used to control citizens' participation in politics and undercut democracy. This title is also available as Open Access on Cambridge Core.

Control theory, an interdisciplinary concept dealing with the behaviour of dynamical systems, is an important but often overlooked aspect of physics. This is the first broad and complete treatment of the topic tailored for physicists, one which goes from the basics right through to the most recent advances. Simple examples develop a deep understanding and intuition for the systematic principles of control theory, beyond the recipes given in standard engineering-focused texts. Up-to-date coverage of control of networks and complex systems, and a thorough discussion of the fundamental limits of control, including the limitations placed by causality, information theory, and thermodynamics are included. In addition it explores important recent advances in stochastic thermodynamics on the thermodynamic costs of information processing and control. For all students of physics interested in control theory, this classroom-tested, comprehensive approach to the topic with online solutions and fur

A riveting page-turner, Total Control is the second novel from the bestselling author of Absolute Power, David Baldacci.

The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice.Machine learning is often used to build predictiv

With contributions from pioneers in this area, this book covers state-of-the-art information on PRB technology. It details design criteria, predictive modeling, and application to contaminants be

Addresses the quantification of effects and developments in predictive modeling capabilities. This title covers virtually various aspects of nitrogen effects research, the importance of natural source

This book explores the weak explanatory and predictive power of theories across disciplines, explains reasons for limited expertise after centuries of scientific effort, and sets forth strategies to a

The limitations of Voronoi model based on Euclidean geometry in designing and micro structure analysis are over bridged by fractal nature approach. This model fractalization is quite original. New fro

Once solely the domain of engineers, quality control has become a vital business operation used to increase productivity and secure competitive advantage. Introduction to Statistical Quality Control o

This is the first advanced, systematic and comprehensive look at weak decays in the framework of gauge theories. Included is a large spectrum of topics, both theoretical and experimental. In addition to explicit advanced calculations of Feynman diagrams and the study of renormalization group strong interaction effects in weak decays, the book is devoted to the Standard Model Effective Theory, dominating present phenomenology in this field, and to new physics models with the goal of searching for new particles and interactions through quantum fluctuations. This book will benefit theorists, experimental researchers, and Ph.D. students working on flavour physics and weak decays as well as physicists interested in physics beyond the Standard Model. In its concern for the search for new phenomena at short distance scales through the interplay between theory and experiment, this book constitutes a travel guide to physics far beyond the scales explored by the Large Hadron Collider at CERN.

Address the future of innovative reproductive technologies with experts in the fields of IVF, fertility preservation and laboratory advances. This essential resource examines the changing roles of IVF, and moves beyond the basics of reproductive medicine. This book introduces the optimization of care, to improve patient outcomes, whilst facing ethical challenges that accompany new technologies, and applying the patient-centered care model to improve both patient and staff retention. By showcasing the future of the field in terms of clinical practice and innovative laboratory technologies, this guide will support clinics worldwide to provide high-quality customer experience, maintaining a competitive edge, following increasing standardization of clinical and laboratory protocols. This invaluable guide features chapters on patient evaluation, predictive modelling, advances in pharmacology, and laboratories of the future. Written by research and clinical leaders from around the world, it

In Digital Data Collection and Information Privacy Law, Mark Burdon argues for the reformulation of information privacy law to regulate new power consequences of ubiquitous data collection. Examining developing business models, based on collections of sensor data - with a focus on the 'smart home' - Burdon demonstrates the challenges that are arising for information privacy's control-model and its application of principled protections of personal information exchange. By reformulating information privacy's primary role of individual control as an interrupter of modulated power, Burdon provides a foundation for future law reform and calls for stronger information privacy law protections. This book should be read by anyone interested in the role of privacy in a world of ubiquitous and pervasive data collection.

Over the past forty years, countries in the Global North have increasingly restricted their migration policies to reduce the arrival of migrants. As part of this, development aid has become a central tool in the migration control strategy pursued by European countries and the US, with donors, International Organisations and NGOs becoming prominent actors. In this book, Lorena Gazzotti shows that migration control is not only exercised through fences and deportation. Building on extensive research in Morocco, Gazzotti shows that aid marks the rise of a substantially different mode of migration containment, one where power works beyond fast violence, and its disciplinary potential is augmented precisely by its elusiveness. Where existing studies on border externalisation have essentialised donors, International Organisations and NGOs, with countries of 'origin' and 'transit' as compliant subcontractors, and border control as a neat form of intervention, this nuanced study unsettles such

Add some sparkle to your LEGO® building with more than 50 magical model ideas!Use your LEGO collection to create enchanted forests, mythical creatures, fairies, superheroes, wands, and much more.Plus,

Add some sparkle to your LEGO (R) building with more than 50 magical model ideas! Use your LEGO collection to create enchanted forests, mythical creatures, fairies, super heroes, wands, and much more.

Deep under the ocean’s surface, the villain Black Manta hunts in a submarine. His mind-control device can brainwash ocean animals into helping him. Can the sea horse Super-Pet Storm outswim Aquaman’s

The most fascinating and profitable subject of predictive algorithms is the human actor. Analysing big data through learning algorithms to predict and pre-empt individual decisions gives a powerful tool to corporations, political parties and the state. Algorithmic analysis of digital footprints, as an omnipresent form of surveillance, has already been used in diverse contexts: behavioural advertising, personalised pricing, political micro-targeting, precision medicine, and predictive policing and prison sentencing. This volume brings together experts to offer philosophical, sociological, and legal perspectives on these personalised data practices. It explores common themes such as choice, personal autonomy, equality, privacy, and corporate and governmental efficiency against the normative frameworks of the market, democracy and the rule of law. By offering these insights, this collection on data-driven personalisation seeks to stimulate an interdisciplinary debate on one of the most pe

The Standard Model of particle physics is an amazingly successful theory describing the fundamental particles and forces of nature. This text, written for a two-semester graduate course on the Standard Model, develops a practical understanding of the theoretical concepts it's built upon, to prepare students to enter research. The author takes a historical approach to demonstrate to students the process of discovery which is often overlooked in other textbooks, presenting quantum field theory and symmetries as the necessary tools for describing and understanding the Standard Model. He develops these tools using a basic understanding of quantum mechanics and classical field theory, such as Maxwell's electrodynamics, before discussing the important role that Noether's theorem and conserved charges play in the theory. Worked examples feature throughout the text, while homework exercises are included for the first five parts, with solutions available online for instructors. Inspired by the

Franchise expert and consultant Mark Siebert knows that the key to duplicating success is a solid system that’s easy to follow. Taking a page from successful franchises, The Multiplier Model delivers