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Since its release, Arduino has become more than just a development platform; it has become a culture built around
the idea of open source and open hardware, and one that is reimagining computer science and education. Arduino has
opened hardware development by making the starting skills easy to obtain, but retaining the complexities of real-world
application. This combination makes Arduino a perfect environment for school students, seasoned developers, and
designers. This is the first Arduino book to hold the title of “Pro,” and demonstrates skills and Concepts that are used by
developers in a more advanced setting. Going beyond projects, this book provides examples that demonstrate Concepts
that can be easily integrated into many different projects and provide inspiration for future ones. The focus of this book
is as a transition from the intermediate to the professional.
標簽：
Arduino
Pro
上傳時間：
2020-06-09
上傳用戶：shancjb
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Control Systems Engineering is an exciting and challenging field and is a
multidisciplinary subject. This book is designed and organized around the Concepts of control
systems engineering using MATLAB, as they have been developed in the frequency and time
domain for an introductory undergraduate or graduate course in control systems for engineer-
ing students of all disciplines.
標簽：
Control
Systems
上傳時間：
2020-06-10
上傳用戶：shancjb
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There exist two essentially different approaches to the study of dynamical systems, based on
the following distinction:
time-continuous nonlinear differential equations ? time-discrete maps
One approach starts from time-continuous differential equations and leads to time-discrete
maps, which are obtained from them by a suitable discretization of time. This path is
pursued, e.g., in the book by Strogatz [Str94]. 1 The other approach starts from the study of
time-discrete maps and then gradually builds up to time-continuous differential equations,
see, e.g., [Ott93, All97, Dev89, Has03, Rob95]. After a short motivation in terms of nonlinear
differential equations, for the rest of this course we shall follow the latter route to dynamical
systems theory. This allows a generally more simple way of introducing the important
Concepts, which can usually be carried over to a more complex and physically realistic
context.
標簽：
Systems_Rainer
Introduction
Dynamical
Klages
to
上傳時間：
2020-06-10
上傳用戶：shancjb
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This introductory chapter is devoted to reviewing the fundamental ideas of
control from a multivariable point of view. In some cases, the mathematics
and operations on systems (modelling, pole placement, etc.), as previously
treated in introductory courses and textbooks, convey to the readers an un-
realistic image of systems engineering. The simplifying assumptions, simple
examples and “perfect” model set-up usually used in these scenarios present
the control problem as a pure mathematical problem, sometimes losing the
physical meaning of the involved Concepts and operations. We try to empha-
sise the engineering implication of some of these Concepts and, before entering
into a detailed treatment of the different topics, a general qualitative overview
is provided in this chapter.
標簽：
MultivariableControlSystems
上傳時間：
2020-06-10
上傳用戶：shancjb
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Control systems are used to regulate an enormous variety of machines, products, and
processes. They control quantities such as motion, temperature, heat flow, fluid flow,
fluid pressure, tension, voltage, and current. Most Concepts in control theory are based
on having sensors to measure the quantity under control. In fact, control theory is
often taught assuming the availability of near-perfect feedback signals. Unfortunately,
such an assumption is often invalid. Physical sensors have shortcomings that can
degrade a control system.
標簽：
Observers
Control
Systems
in
上傳時間：
2020-06-10
上傳用戶：shancjb
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The goal of this text is focus on a core subset of the natural language processing, unified
by the Concepts of learning and search. A remarkable number of problems in natural
language processing can be solved by a compact set of methods:
標簽：
eisenstein-nlp-notes
上傳時間：
2020-06-10
上傳用戶：shancjb
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Machinelearninghasgreatpotentialforimprovingproducts,processesandresearch.Butcomputers
usually do not explain their predictions which is a barrier to the adoption of machine learning.
This book is about making machine learning models and their decisions interpretable.
After exploring the Concepts of interpretability, you will learn about simple, interpretable models
such as decision trees, decision rules and linear regression. Later chapters focus on general model-
agnosticmethodsforinterpretingblackboxmodelslikefeatureimportanceandaccumulatedlocal
effects and explaining individual predictions with Shapley values and LIME.
標簽：
interpretable-machine-learning
上傳時間：
2020-06-10
上傳用戶：shancjb
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Machine learning is about designing algorithms that automatically extract
valuable information from data. The emphasis here is on “automatic”, i.e.,
machine learning is concerned about general-purpose methodologies that
can be applied to many datasets, while producing something that is mean-
ingful. There are three Concepts that are at the core of machine learning:
data, a model, and learning.
標簽：
learning
Machine
上傳時間：
2020-06-10
上傳用戶：shancjb
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This edition of Digital Image Processing is a major revision of the book. As in
the 1977 and 1987 editions by Gonzalez and Wintz, and the 1992, 2002, and 2008
editions by Gonzalez and Woods, this sixth-generation edition was prepared
with students and instructors in mind. The principal objectives of the book
continue to be to provide an introduction to basic Concepts and methodologies
applicable to digital image processing, and to develop a foundation that can
be used as the basis for further study and research in this field. To achieve
these objectives, we focused again on material that we believe is fundamental
and whose scope of application is not limited to the solution of specialized
problems. The mathematical complexity of the book remains at a level well
within the grasp of college seniors and first-year graduate students who have
introductory preparation in mathematical analysis, vectors, matrices, probability,
statistics, linear systems, and computer programming. The book website provides
tutorials to support readers needing a review of this background material
標簽：
Processing
Digital
Image
上傳時間：
2021-02-20
上傳用戶：
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This texts contemporary approach focuses on the Concepts of linear control systems, rather than computational mechanics. Straightforward coverage includes an integrated treatment of both classical and modern control system methods. The text emphasizes design with discussions of problem formulation, design criteria, physical constraints, several design methods, and implementation of compensators.Discussions of topics not found in other texts--such as pole placement, model matching and robust tracking--add to the texts cutting-edge presentation. Students will appreciate the applications and discussions of practical aspects, including the leading problem in developing block diagrams, noise, disturbances, and plant perturbations. State feedback and state estimators are designed using state variable equations and transfer functions, offering a comparison of the two approaches. The incorporation of MATLAB throughout the text helps students to avoid time-consuming computation and concentrate on control system design and analysis
標簽：
控制系統
上傳時間：
2021-12-15
上傳用戶：
