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(biāo)簽： Advanced_Process_Engineering_Cont rol
上傳時間： 2020-06-10
上傳用戶：shancjb
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(biāo)簽： Teleoperation Intelligent Networked Control
上傳時間： 2020-06-10
上傳用戶：shancjb
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(biāo)簽： Systems_Rainer Introduction Dynamical Klages to
上傳時間： 2020-06-10
上傳用戶：shancjb
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(biāo)簽： Introduction Mathematical Theory the to
上傳時間： 2020-06-10
上傳用戶：shancjb
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(biāo)簽： Learning Machine Course in
上傳時間： 2020-06-10
上傳用戶：shancjb
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(biāo)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
上傳時間： 2021-11-22
上傳用戶：
經(jīng)典書籍Static Timing Analysis for Nanometer Designs A Practical approach漢化版本，非常有用
標(biāo)簽： 靜態(tài)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(biāo)簽： 控制系統(tǒng)
上傳時間： 2021-12-15
上傳用戶：
在信號的產(chǎn)生、傳輸、接收過程當(dāng)中，必定會遭受外部環(huán)境擾動和內(nèi)部設(shè)備噪聲的影響，為獲得需求信號或狀態(tài)的最有效估計，要排除無用干擾，這就叫做濾波。“濾波”的術(shù)語在無線電領(lǐng)域首先出現(xiàn)。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(jù)其差異來設(shè)計濾波器。1960年，卡爾曼發(fā)表了用遞歸方法解決離散數(shù)據(jù)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(yīng)用廣泛且功能強大，它可以估計信號的過去和當(dāng)前狀態(tài)，甚至能估計將來的狀態(tài)，即使并不知道模型的確切性質(zhì)。其基本思想是：以最小均方誤差為最佳估計準(zhǔn)則，采用信號與噪聲的狀態(tài)空間模型，利用前一時刻的估計值和當(dāng)前時刻的觀測值來更新對狀態(tài)變量的估計，求出當(dāng)前時刻的估計值，算法根據(jù)建立的系統(tǒng)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(biāo)簽： 卡爾曼濾波器
上傳時間： 2022-07-04
上傳用戶：
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