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Non-Linear

  • Intelligent Networked Teleoperation Control

    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(shí)間: 2020-06-10

    上傳用戶:shancjb

  • Intelligent+Control+Systems+with+LabVIEW?

    Control systems are becoming more important every day. At the beginning, the in- dustry used sequential controls for solving a lot of industrial applications in control systems, and then the linear systems gave us a huge increase in applying automatic linear control on industrial application. One of the most recent methods for control- ling industrial applications is intelligent control, which is based on human behavior or concerning natural process.

    標(biāo)簽: Intelligent Control Systems LabVIEW with

    上傳時(shí)間: 2020-06-10

    上傳用戶:shancjb

  • Introduction_to_Dynamic_Systems

    This book  is  an outgrowth of a course developed at Stanford University over the past  five  years. It  is  suitable as a self-contained textbook for second-level undergraduates  or  for first-level graduate students in almost every field that employs quantitative methods. As prerequisites, it  is  assumed that the student may  have had a first course  in  differential equations and a first course  in  linear algebra  or  matrix analysis. These two subjects, however, are reviewed in Chapters 2 and 3, insofar as they are required for later developments.

    標(biāo)簽: Introduction_to_Dynamic_Systems

    上傳時(shí)間: 2020-06-10

    上傳用戶:shancjb

  • Linear Control System Analysis and Design Fifth

    The countless technological advances of the twentieth century require that futureengineering educationemphasizebridging thegapbetweentheoryand the real world.Thisedition hasbeenprepared withparticular attentiontothe needs of undergraduates, especially those who seek a solid foundation in control theory aswellas an ability tobridgethe gapbetween control theory and itsreal- world applications.To help the reader achieve this goal, computer-aided design accuracy checks (CADAC) are used throughout the text to encourage good habits of computerliteracy.Each CADAC uses fundamentalconcepts to ensure the viability of a computer solution.

    標(biāo)簽: Analysis Control Linear Design System Fifth and

    上傳時(shí)間: 2020-06-10

    上傳用戶:shancjb

  • Linear Optimal Control

    Despite the development of a now vast body of knowledge known as modern control theory, and despite some spectacular applications of this theory to practical situations, it is quite clear that much of the theory has yet to find application, and many practical control problems have yet to find a theory which will successfully deal with them. No book of course can remedy the situation at this time. But the aim of this book is to construct one of many bridges that are still required for the student and practicing control engineer between the familiar classical control results and those of modern control theory. 

    標(biāo)簽: Control Optimal Linear

    上傳時(shí)間: 2020-06-10

    上傳用戶:shancjb

  • Modern_Control_Theory

    The main aim of this book is to present a unified, systematic description of basic and advanced problems, methods and algorithms of the modern con- trol theory considered as a foundation for the design of computer control and management systems. The scope of the book differs considerably from the topics of classical traditional control theory mainly oriented to the needs of automatic control of technical devices and technological proc- esses. Taking into account a variety of new applications, the book presents a compact and uniform description containing traditional analysis and op- timization problems for control systems as well as control problems with non-probabilistic models of uncertainty, problems of learning, intelligent, knowledge-based and operation systems – important for applications in the control of manufacturing processes, in the project management and in the control of computer systems.

    標(biāo)簽: Modern_Control_Theory

    上傳時(shí)間: 2020-06-10

    上傳用戶:shancjb

  • Optimal Control Linear Quadratic Methods

    Despite the development of a now vast body of knowledge known as modern control theory, and despite some spectacular applications of this theory to practical situations, it is quite clear that some of the theory has yet to find application, and many practical control problems have yet to find a theory that will successfully deal with them. No one book, of course, can remedy the situation. The aim of this book is to construct bridges that are still required for the student and practicing control engineer between the familiar classical control results and those of modern control theory.

    標(biāo)簽: Quadratic Optimal Control Methods Linear

    上傳時(shí)間: 2020-06-10

    上傳用戶:shancjb

  • interpretable-machine-learning

    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(biāo)簽: interpretable-machine-learning

    上傳時(shí)間: 2020-06-10

    上傳用戶:shancjb

  • 選擇文件 X雙色球彩票過(guò)濾器 綠色免費(fèi)版

    選擇文件 X 雙色球彩票過(guò)濾器 綠色免費(fèi)版

    標(biāo)簽: 雙色 過(guò)濾器

    上傳時(shí)間: 2020-11-27

    上傳用戶:

  • 選擇文件 X雙色球彩票管理系統(tǒng)(LotterySystem)

    選擇文件 X 雙色球彩票管理系統(tǒng)(LotterySystem)

    標(biāo)簽: LotterySystem 雙色 管理系統(tǒng)

    上傳時(shí)間: 2020-11-27

    上傳用戶:

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