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The present work, Advanced Process Engineering Control, is intended to be the
continuation of the authors? Basic Process Engineering Control published by
DeGruyter in 2014. It presents the main and conventional type control loops in process
industries. Titles containing the concept of process engineering were deliberately
chosen to suggest the inclusion, within the same approach, of processes other than
the traditional ones. These come from outside the traditional fields of chemistry and
petrochemistry: the sphere of pharmaceuticals, wastewater management, water puri-
fication, water reserve management, construction material industry, food processing,
household or automotive industries.
標簽:
Advanced_Process_Engineering_Cont
rol
上傳時間:
2020-06-10
上傳用戶:shancjb
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This book describes a unifying framework to networked teleoperation systems
cutting across multiple research fields including networked control system for linear
and nonlinear forms, bilateral teleoperation, trilateral teleoperation, multilateral
teleoperation, cooperative teleoperation, and some teleoperation application
examples. Networked control has been deeply studied at the intersection of systems
& control and robotics for a long time, and many scholarly books on the topic have
been already published. Nevertheless, the approach remains active even in several
new research fields, such as bilateral teleoperation, single master and multiple
slaves, trilateral teleoperation, and multilateral teleoperation
標簽:
Teleoperation
Intelligent
Networked
Control
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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The purpose of this preface is twofold. Firstly, to give an informal historical
introduction to the subject area of this book, Systems and Control, and
secondly, to explain the philosophy of the approach to this subject taken
in this book and to outline the topics that will be covered.
標簽:
Introduction
Mathematical
Theory
the
to
上傳時間:
2020-06-10
上傳用戶:shancjb
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Machine learning is a broad and fascinating field. Even
today, machine learning technology runs a substantial part of your
life, often without you knowing it. Any plausible approach to artifi-
cial intelligence must involve learning, at some level, if for no other
reason than it’s hard to call a system intelligent if it cannot learn.
Machine learning is also fascinating in its own right for the philo-
sophical questions it raises about what it means to learn and succeed
at tasks.
標簽:
Learning
Machine
Course
in
上傳時間:
2020-06-10
上傳用戶:shancjb
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Current field forecast verification measures are inadequate, primarily because they compress the comparison
between two complex spatial field processes into one number. Discrete wavelet transforms (DWTs) applied to
analysis and contemporaneous forecast fields prove to be an insightful approach to verification problems. DWTs
allow both filtering and compact physically interpretable partitioning of fields. These techniques are used to
reduce or eliminate noise in the verification process and develop multivariate measures of field forecasting
performance that are shown to improve upon existing verification procedures.
標簽:
field forecast verification
上傳時間:
2020-07-22
上傳用戶:
-
? LLC series-resonant Half-bridge: operationand significant waveforms? Simplified model (FHA approach)? 300W design example
標簽:
llc
電路原理
上傳時間:
2021-11-22
上傳用戶:
-
經典書籍Static Timing Analysis for Nanometer Designs A Practical approach漢化版本,非常有用
標簽:
靜態時序分析
上傳時間:
2021-12-06
上傳用戶:
-
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:
-
在信號的產生、傳輸、接收過程當中,必定會遭受外部環境擾動和內部設備噪聲的影響,為獲得需求信號或狀態的最有效估計,要排除無用干擾,這就叫做濾波。“濾波”的術語在無線電領域首先出現。由于隨機信號功率譜的確定性,有用信號和無用信號必定不同,從而可以根據其差異來設計濾波器。1960年,卡爾曼發表了用遞歸方法解決離散數據線性濾波問題的論文(A New approach to Linear Filtering and Prediction Problems)。在這篇文章里,一種克服了維納濾波缺點的新方法被提出來,這就是我們今天稱之為卡爾曼濾波的方法。卡爾曼濾波應用廣泛且功能強大,它可以估計信號的過去和當前狀態,甚至能估計將來的狀態,即使并不知道模型的確切性質。其基本思想是:以最小均方誤差為最佳估計準則,采用信號與噪聲的狀態空間模型,利用前一時刻的估計值和當前時刻的觀測值來更新對狀態變量的估計,求出當前時刻的估計值,算法根據建立的系統方程和觀測方程對需要處理的信號做出滿足最小均方誤差的估計。
標簽:
卡爾曼濾波器
上傳時間:
2022-07-04
上傳用戶: