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Optimization in control applications

[Mathematical optimization is the selection of the best element in a set with respect to a given criterion. Optimization has become one of the most-used tools in modern control theory for computing the control law, adjusting the controller parameters (tuning), model fitting, and finding suitable conditions in order to fulfill a given closed-loop property, among others. In the simplest case, optimization consists of maximizing or minimizing a function by systematically choosing input values from a valid input set and computing the function value. Nevertheless, real-world control systems need to comply with several conditions and constraints that have to be taken into account in the problem formulation-these represent challenges in the application of the optimization algorithms.

Physical Modeling in MATLAB

An introductory textbook for people who have not programmed before. Covers basic MATLAB programming with emphasis on modeling and simulation of physical systems. Physical modeling is a way of modeling and simulating systems that consist of real physical components. It employs a physical network approach, where Simscape blocks correspond to physical elements, such as pumps, motors, and op-amps. You join these blocks by lines corresponding to the physical connections that transmit power. This approach lets you describe the physical structure of a system, rather than the underlying mathematics.

Электроразведочная аппаратура и оборудование

Изложены принципы построения аналоговой и цифровой аппаратуры; структурные и принципиальные схемы основных функциональных узлов ее (излучателей электромагнитных полей, генераторов, преобразователей, усилителей, запоминающих устройств, источников питания и др.). Описаны аппаратура для измерения постоянных электрических, нестационарных электромагнитных полей, оборудование и методика работы.

Precalculus. An Investigation of Functions

Precalculus. An Investigation of Functions is a free, open textbook covering a two-quarter pre-calculus sequence including trigonometry. The first portion of the book is an investigation of functions, exploring the graphical behavior of, interpretation of, and solutions to problems involving linear, polynomial, rational, exponential, and logarithmic functions. An emphasis is placed on modeling and interpretation, as well as the important characteristics needed in calculus. The second portion of the book introduces trigonometry. Trig is introduced through an integrated circle/triangle approach. Identities are introduced in the first chapter, and revisited throughout. Likewise, solving is introduced in the second chapter and revisted more extensively in the third chapter. As with the first part of the book, an emphasis is placed on motivating the concepts and on modeling and interpretation.

Predicative Arithmetic

This book develops arithmetic without the induction principle, working in theories that are interpretable in Raphael Robinson's theory Q. Certain inductive formulas, the bounded ones, are interpretable in Q. A mathematically strong, but logically very weak, predicative arithmetic is constructed. Originally published in 1986. The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These paperback editions preserve the original texts of these important books while presenting them in durable paperback editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.

Probabilistic Programming and Bayesian Methods for Hackers

The Bayesian method is the natural approach to inference, yet it is hidden from readers behind chapters of slow, mathematical analysis. The typical text on Bayesian inference involves two to three chapters on probability theory, then enters what Bayesian inference is. Unfortunately, due to mathematical intractability of most Bayesian models, the reader is only shown simple, artificial examples. This can leave the user with a so-what feeling about Bayesian inference. Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions of Bayesian inference rely on intensely complex mathematical analyses and artificial examples, making it inaccessible to anyone without a strong mathematical background.

CK-12 Advanced Probability and Statistics

CK-12’s Advanced Probability and Statistics-Second Edition is a clear presentation of the basic topics in statistics and probability, but finishes with the rigorous topics an advanced placement course requires. Volume 1 includes the first 6 chapters and covers the following topics: Analyzing Statistical Data, Visualizations of Data, Discrete Probability Distribution, Normal Distribution, and Experimentation.

CK-12 Probability and Statistics - Basic (A Full Course)

CK-12's Probability and Statistics - Basic (A Full Course) is an introduction to theoretical probability and data organization. Students learn about events, conditions, random variables, and graphs and tables that allow them to manage data. An introduction to theoretical probability and data organization. Students learn about events, conditions, random variables, and graphs and tables that allow them to manage data.

CK-12 Probability and Statistics. (Basic)

CK-12's Probability and Statistics - Basic (A Full Course) is an introduction to theoretical probability and data organization. Its 8 chapters cover the following topics: Independent and Dependent Events, Conditional Probability, Discrete Random Variables, Probability Distributions, Measures of Central Tendency, Normal Distribution, Distributions of Data, and Organizing and Displaying Data for Comparison.

Probability and statistics for geophysical processes

Commonly, probability is regarded to be a branch of applied mathematics that provides tools for data analysis. Nonetheless, probability is a more general concept that helps shape a consistent, realistic and powerful view of the world. Historically, the modern science was initiated from deterministic views of the world, in which probability had a marginal role for peculiar unpredictable phenomena. However, in the turn of the nineteenth century, radical developments in physics, and particularly thermodynamics, dynamical systems and quantum physics, as well as in mathematics has given the probability theory a central role in the scientific scene, in the understanding and the modelling of natural phenomena. Furthermore, probability has provided grounds for philosophical concepts such as indeterminism and causality, as well as for extending the typical mathematical logic, offering the mathematical foundation of induction. In typical scientific and technological applications, probability provides the tools to quantify uncertainty, rationalize decisions under uncertainty, and make predictions of future events under uncertainty, in lieu of unsuccessful deterministic predictions. Uncertainty seems to be an intrinsic property of nature, as it can emerge even from pure and simple deterministic dynamics, and cannot been eliminated. This is demonstrated here using a working example with simple deterministic equations and showing that deterministic methods may be good for short-term predictions but for long horizons their predictive capacity is cancelled, whereas the probabilistic methods can perform much better.

CK-12 Probability and Statistics Concepts

This book is an introduction to the real-world applications of probability and statistics. Examples include: insurance companies, sports figures, computer gamers, small business owners, and meteorologists. Table of Contents: Why Study Statistics and Probability. Collecting Data for Study: Sampling. Common Types of Samples. Evaluating and Displaying Data. Central Tendency. Probability. Probability Distribution Combinations and Permutations. The Normal Distribution. Predicting and Testing. Linear Regression and Chi-Squared.

Обувные товары (товароведение)

В учебнике приводятся краткие сведения о сырье, основах производства обувных товаров. Основное внимание уделяется характеристике ассортимента, потребительным свойствам, требованиям к качеству, упаковке и маркировке этих товаров. Последний раздел книги знакомит будущего продавца с организацией и техникой торговли обувью.

Объекты культурного наследия. Т. I, II

В учебнике рассматриваются проблемы, организационные формы и методы градостроительства, связанные с охраной объектов культурного наследия. Раскрываются сложившиеся подходы в исследованиях и разработках исторической среды. Даются обоснования направлений исследования, разработки мероприятий по сохранению объектов культурного наследия.

Рослинництво

Викладено еколого-біологічні, агротехнічні, агрохімічні, організацій-но-господарські та економічні основи рослинництва. Висвітлено біологію і технологію виробництва польових культур— зернових(у т. ч. зернобо-бових), технічних(цукрових буряків, олійних рослин, ефіроолійних, пря-дивних, наркотичних), кормових(однорічних та багаторічних злакових і бобових трав, кормових капустяних рослин та коренеплодів), бульбопло-дів і баштанних. Подано короткі відомості про біологію і технології виро-щування деяких важливих лікарських рослин. Для студентів агрономічних спеціальностей вищих закладів освіти ІІІ– IV рівнів акредитації

Станочник широкого профиля

Даны сведения о назначения, устройстве, наладке и эксплуатация различных универсальных металлорежущих станков с ЧПУ с основами программного управления, рассмотрены конструкции режущего и вспомогательного инструмента и приспособлений, основные сведения о режимах.

Рекомендации по гидромодульному районированию и режиму орошения сельскохозяйственных культур

Для Центральной Азии с дефицитом водных ресурсов, обостренным про-цессами аридизации, единственным путем выживания является экономия вод-ных ресурсов, основанная на совершенствовании и оптимизации водопотреб-ления. В качестве базиса этого направления в проекте«ИУВР-Фергана» исполь-зуется ряд технических мер, среди которых ведущим является планирование во-допользования и водораспределения. В соответствии с принятым набором средств проект разработал Управляющую ирригационную систему, которая с помощью компьютерных моделей позволяет определить потребности и осуще-ствить распределение водных ресурсов между допользователями.