Uncertainty And Feedback
Download Uncertainty And Feedback full books in PDF, epub, and Kindle. Read online free Uncertainty And Feedback ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
| Author | : Glenn Vinnicombe |
| Publisher | : World Scientific |
| Total Pages | : 348 |
| Release | : 2001 |
| Genre | : Mathematics |
| ISBN | : 9781860941634 |
The principal reason for using feedback is to reduce the effect of uncertainties in the description of a system which is to be controlled. H[infinity] loop-shaping is emerging as a powerful but straightforward method for designing robust feedback controllers for complex systems. However, in order to use this, or other modern design techniques, it is first necessary to generate an accurate model of the system (thus appearing to remove the reason for needing feedback in the first place). The v-gap metric is an attempt to resolve this paradox - by indicating in what sense a model should be accurate if it is to be useful for feedback design. This book develops in detail the H[infinity] loop-shaping design method, the v-gap metric and the relationship between the two, showing how they can be used together for successful feedback design.
| Author | : Jonathan Fields |
| Publisher | : Penguin |
| Total Pages | : 241 |
| Release | : 2012-11-06 |
| Genre | : Business & Economics |
| ISBN | : 1591845661 |
Jonathan Fields knows the risks-and potential power-of uncertainty. He gave up a six-figure income as a lawyer to make $12 an hour as a personal trainer. Then, married with a 3-month old baby, he signed a lease to launch a yoga center in the heart of New York City. . . the day before 9/11. But he survived, and along the way he developed a fresh approach to transforming uncertainty, risk of loss, and exposure to judgment into catalysts for innovation, creation, and achievement. In business, art, and life, creating on a world-class level demands bold action and leaps of faith in the face of great uncertainty. But that uncertainty can lead to fear, anxiety, paralysis, and destruction. It can gut creativity and stifle innovation. It can keep you from taking the risks necessary to do great work and craft a deeply-rewarding life. And it can bring companies that rely on innovation grinding to a halt. That is, unless you know how to use it to your advantage. Fields draws on leading-edge technology, cognitive science, and ancient awareness-focusing techniques in a fresh, practical, nondogmatic way. His approach enables creativity and productivity on an entirely different level and can turn the once-tortuous journey into a more enjoyable quest.
| Author | : Andy Clark |
| Publisher | : Oxford University Press, USA |
| Total Pages | : 425 |
| Release | : 2016 |
| Genre | : Medical |
| ISBN | : 0190217014 |
Exciting new theories in neuroscience, psychology, and artificial intelligence are revealing minds like ours as predictive minds, forever trying to guess the incoming streams of sensory stimulation before they arrive. In this up-to-the-minute treatment, philosopher and cognitive scientist Andy Clark explores new ways of thinking about perception, action, and the embodied mind.
| Author | : Michel Syrett |
| Publisher | : The Economist |
| Total Pages | : 224 |
| Release | : 2014-02-25 |
| Genre | : Business & Economics |
| ISBN | : 1610395131 |
Managing uncertainty has become a new business imperative. Technological discontinuities, regulatory upheavals, geopolitical shocks, abrupt shifts in consumer tastes or behavior, and many other factors have emerged or intensified in recent years and together conspire to undermine even the most carefully constructed business strategies. Managing Uncertainty: Strategies for Surviving and Thriving in Turbulent Times addresses these new challenges, assessing the sources of business turbulence, how to classify uncertainty, and the different ways in which uncertainty can be embraced to allow greater innovation and growth. Drawing on examples from around the world, the book presents the most recent ideas on what it means to manage uncertainty, from practitioners, academics, and consultants. Addresses the challenges of managing uncertainty in business Presents a step-by-step guide to managing business uncertainty Draws examples from major international companies, including Intel, Procter & Gamble, Siemens, Boeing, Quinetiq, Philips, China Telecom, Ford, Apple, Shell, Glaxo SmithKline and many more Written for business leaders and managers looking for new ways to ensure that their businesses continue to thrive in a world of increasing complexity, Managing Uncertainty presents new and innovative ideas about reducing risk by understanding difficult-to-predict shifts.
| Author | : Karl Johan Åström |
| Publisher | : Princeton University Press |
| Total Pages | : |
| Release | : 2021-02-02 |
| Genre | : Technology & Engineering |
| ISBN | : 069121347X |
The essential introduction to the principles and applications of feedback systems—now fully revised and expanded This textbook covers the mathematics needed to model, analyze, and design feedback systems. Now more user-friendly than ever, this revised and expanded edition of Feedback Systems is a one-volume resource for students and researchers in mathematics and engineering. It has applications across a range of disciplines that utilize feedback in physical, biological, information, and economic systems. Karl Åström and Richard Murray use techniques from physics, computer science, and operations research to introduce control-oriented modeling. They begin with state space tools for analysis and design, including stability of solutions, Lyapunov functions, reachability, state feedback observability, and estimators. The matrix exponential plays a central role in the analysis of linear control systems, allowing a concise development of many of the key concepts for this class of models. Åström and Murray then develop and explain tools in the frequency domain, including transfer functions, Nyquist analysis, PID control, frequency domain design, and robustness. Features a new chapter on design principles and tools, illustrating the types of problems that can be solved using feedback Includes a new chapter on fundamental limits and new material on the Routh-Hurwitz criterion and root locus plots Provides exercises at the end of every chapter Comes with an electronic solutions manual An ideal textbook for undergraduate and graduate students Indispensable for researchers seeking a self-contained resource on control theory
| Author | : John C. Doyle |
| Publisher | : Courier Corporation |
| Total Pages | : 264 |
| Release | : 2013-04-09 |
| Genre | : Technology & Engineering |
| ISBN | : 0486318338 |
An excellent introduction to feedback control system design, this book offers a theoretical approach that captures the essential issues and can be applied to a wide range of practical problems. Its explorations of recent developments in the field emphasize the relationship of new procedures to classical control theory, with a focus on single input and output systems that keeps concepts accessible to students with limited backgrounds. The text is geared toward a single-semester senior course or a graduate-level class for students of electrical engineering. The opening chapters constitute a basic treatment of feedback design. Topics include a detailed formulation of the control design program, the fundamental issue of performance/stability robustness tradeoff, and the graphical design technique of loopshaping. Subsequent chapters extend the discussion of the loopshaping technique and connect it with notions of optimality. Concluding chapters examine controller design via optimization, offering a mathematical approach that is useful for multivariable systems.
| Author | : William Briggs |
| Publisher | : Springer |
| Total Pages | : 274 |
| Release | : 2016-07-15 |
| Genre | : Mathematics |
| ISBN | : 3319397567 |
This book presents a philosophical approach to probability and probabilistic thinking, considering the underpinnings of probabilistic reasoning and modeling, which effectively underlie everything in data science. The ultimate goal is to call into question many standard tenets and lay the philosophical and probabilistic groundwork and infrastructure for statistical modeling. It is the first book devoted to the philosophy of data aimed at working scientists and calls for a new consideration in the practice of probability and statistics to eliminate what has been referred to as the "Cult of Statistical Significance." The book explains the philosophy of these ideas and not the mathematics, though there are a handful of mathematical examples. The topics are logically laid out, starting with basic philosophy as related to probability, statistics, and science, and stepping through the key probabilistic ideas and concepts, and ending with statistical models. Its jargon-free approach asserts that standard methods, such as out-of-the-box regression, cannot help in discovering cause. This new way of looking at uncertainty ties together disparate fields — probability, physics, biology, the “soft” sciences, computer science — because each aims at discovering cause (of effects). It broadens the understanding beyond frequentist and Bayesian methods to propose a Third Way of modeling.
| Author | : Christa Teston |
| Publisher | : University of Chicago Press |
| Total Pages | : 254 |
| Release | : 2017-05-05 |
| Genre | : Medical |
| ISBN | : 022645083X |
Doctors, scientists, and patients have long grappled with the dubious nature of “certainty” in medical practice. To help navigate the chaos caused by ongoing bodily change we rely on scientific reductions and deductions. We take what we know now and make best guesses about what will be. But bodies in flux always outpace the human gaze. Particularly in cancer care, processes deep within our bodies are at work long before we even know where to look. In the face of constant biological and technological change, how do medical professionals ultimately make decisions about care? Bodies in Flux explores the inventive ways humans and nonhumans work together to manufacture medical evidence. Each chapter draws on rhetorical theory to investigate a specific scientific method for negotiating medical uncertainty in cancer care, including evidential visualization, assessment, synthesis, and computation. Case studies unveil how doctors rely on visuals when deliberating about a patient’s treatment options, how members of the FDA use inferential statistics to predict a drug’s effectiveness, how researchers synthesize hundreds of clinical trials into a single evidence-based recommendation, and how genetic testing companies compute and commoditize human health. Teston concludes by advocating for an ethic of care that pushes back against the fetishization of certainty—an ethic of care that honors human fragility and bodily flux.
| Author | : Karen Kay Dunn |
| Publisher | : WestBow Press |
| Total Pages | : 208 |
| Release | : 2017-04-28 |
| Genre | : Religion |
| ISBN | : 1512777196 |
Karen Dunn and her family were living a normal life. They celebrated holidays, went to church, and did all of the things that happy families do. It all changed following the utterance of two simple words: invasive melanoma. With a poor prognosis, Karen and her family were forced to prepare for the worst case scenario. Invasive melanoma is not called "the deadly skin cancer" for nothing. The rosy prospective for Karen's life suddenly vanished into a dark horizon. They found themselves living with uncertainty because they no longer knew what their future would hold. Following a career as a mental health therapist, Karen was aware of the challenges that accompany such traumatic news. Serving as a pastoral counselor, Karen was also aware of the powerful combination of positive mental outlook, effective treatment decisions, and spiritual connectedness. As Karen engaged in treatment and prepared for the possibility of a negative outcome, she also learned how to hope, pray, worship, and continue to enjoy her family, even in the midst of her trials. There are many different situations that can result in trauma. Cancer, Alzheimer's, Parkinson's disease, accidents with permanent injuries, alienation from loved ones, financial ruin, loss of a loved one, mental illness, abuse, political angst, can all be devastating events. With the proper outlook you can make the most of the time that you have left, while you seek out the best treatment options available. Living with uncertainty while still enjoying life is an attainable goal! This book will familiarize you with some useful tools to regain hope, peace and joy despite uninvited life circumstances. You will learn to overcome the devastating effects of a painful event by employing a deliberate approach. It does not matter if you are the one in crisis, or if it is a friend, family member, coworker, or bible study partner: this book is for you! Karens professional accomplishments have earned her the honor of being listed in: Whos Who Among Students in American Universities and Colleges Whos Who in Medicine and Healthcare Whos Who Among Human Services Professionals Whos Who in the South and Southwest Whos Who in America Whos Who in the World Karen maintains an encouraging blog on her website, CopingwithLossandGrief.com
| Author | : Mykel J. Kochenderfer |
| Publisher | : MIT Press |
| Total Pages | : 350 |
| Release | : 2015-07-24 |
| Genre | : Computers |
| ISBN | : 0262331713 |
An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance. Many important problems involve decision making under uncertainty—that is, choosing actions based on often imperfect observations, with unknown outcomes. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the system. This book provides an introduction to the challenges of decision making under uncertainty from a computational perspective. It presents both the theory behind decision making models and algorithms and a collection of example applications that range from speech recognition to aircraft collision avoidance. Focusing on two methods for designing decision agents, planning and reinforcement learning, the book covers probabilistic models, introducing Bayesian networks as a graphical model that captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty; Markov decision processes as a method for modeling sequential problems; model uncertainty; state uncertainty; and cooperative decision making involving multiple interacting agents. A series of applications shows how the theoretical concepts can be applied to systems for attribute-based person search, speech applications, collision avoidance, and unmanned aircraft persistent surveillance. Decision Making Under Uncertainty unifies research from different communities using consistent notation, and is accessible to students and researchers across engineering disciplines who have some prior exposure to probability theory and calculus. It can be used as a text for advanced undergraduate and graduate students in fields including computer science, aerospace and electrical engineering, and management science. It will also be a valuable professional reference for researchers in a variety of disciplines.
