Kybernetik og systemteori

Graphics in this book are printed in black and white.This book includes: Excel VBA: A Step-By-Step Tutorial For Beginners To Learn Excel VBA Programming From Scratch Excel VBA: Intermediate Lessons in Excel VBA Programming for Professional Advancement Excel VBA: A Step-By-Step Comprehensive Guide on Advanced Excel VBA Programming Techniques and Strategies ExcEL VBA: A Comprehensive, Step-By-Step Guide On Excel VBA Finance For Data Reporting And Business Analysis Excel VBA: A Step-by-Step Comprehensive Guide on Excel VBA Programming Tips and Tricks for Effective Strategies Machine Learning For Beginners: A Comprehensive, Step-by-Step Guide to Learning and Understanding Machine Learning Concepts, Technology and Principles for Beginners Machine Learning: A Comprehensive, Step-by-Step Guide to Intermediate Concepts and Techniques in Machine Learning Machine Learning: A Comprehensive, Step-by-Step Guide to Learning and Applying Advanced Concepts and Techniques in Machine Learning Machine Learning: A Complete Exploration of Highly Advanced Machine Learning Concepts, Best Practices and Techniques Excel VBAOne of the few things that look difficult is learning seemingly technical things from scratch. The truth is so many have given up on learning new things due to the vagueness and abstractness they encounter at the inception.This won't be so for Excel VBA when you make this book your guide. The Ultimate Excel VBA master is a complete step-by-step guide to becoming Excel VBA programming from scratch. It uncovers the basics and rudiments of Excel VBA, with this book you can be self thought from not having an idea to being an expert.You will learn the use of charts, spreadsheet, data reporting, business analysis and a lot more. This book is a quintessential material painstakingly compiled to help you master Tips and tricks of Excel VBA programming for effective strategies. It aids your professionalism and bails you out of the stress in computing bundle of data. This isn't gainsaying, but a decision to pick this book will positively increase your productivity.Machine LearningMachines are created to make work easier for us, but so many have seen machines as a major barrier due to their supposed technicality of machines.Are you a novice trying to understand the basics of machine?Do you have prior knowledge and you wish to acquire further understanding about tensorFlow, scikit- learn, algorithms, decision trees, random forest, deep learning or neural networks?Are you even a pro and you wish to add to your knowledge?This book is all you need. This painstakingly compiled manuscript unravels the rudiments and generality of machine learning. It is total and all encompassing with accurate and concise principles of machine learning. This quintessential book comprises modules that cut across various level of knowledge in machine learning. It is an exquisite material that grants you practical knowledge in machines. It weighs more than mere words, it is gold in manuscript.You might not know how much you know or how much you need to know until you avail yourself with essential materials. This book is not one of all you need to understand machine learning; it is all you need to uncover the full scope of learning machines.Technicality is very relative when you have the right knowledge. Stay ahead; make a choice that will last. So What are You Waiting For? Grab a copy of this book Now ! To learn and master Excel VBA programming and Machine Learning.

La meccanica statistica (MS) nell'insegnamente universitario e' spesso confinata in una posizione itermedia tra le tre grandi aree della fisica teorica, la fisica della materia e la fisica matematica. In genere vengono discussi gli aspetti "pratici", di supporto alla fisica della materia, che pur importanti non esauriscono la rilevanza concettule della meccanica statistica. Esistono molti ottimi libri (Huang, Landau-Lifsits, Chandler, Peliti etc) che trattano in modo dettagliato gli aspetti tecnici della meccanica statistica. Lo scopo del nostro libro non e' quello di presentare metodi (esatti ed approssimati) per determinare le proprietà termodinamiche a partire dalle interazioni microscopiche, quanto discutere alcuni aspetti concettuali della meccanica statistica che sono spesso poco trattati. In particolare:1- Il ruolo dell'ipotesi ergodica2- L'importanza dei tanti gradi di libertà per le leggi statistiche3- L'interpretazione degli ensemble in termini di probabilità;4- L'irreversibilità macroscopica5- L'utilizzo della meccanica statistica per provare l'ipotesi atomistica e la determinazione delle scale (spaziali ed egernetiche) del mondo microscopico.

Inverse limits with set-valued functions are quickly becoming a popular topic of research due to their potential applications in dynamical systems and economics. This brief provides a concise introduction dedicated specifically to such inverse limits. The theory is presented along with detailed examples which form the distinguishing feature of this work. The major differences between the theory of inverse limits with mappings and the theory with set-valued functions are featured prominently in this book in a positive light.   The reader is assumed to have taken a senior level course in analysis and a basic course in topology. Advanced undergraduate and graduate students, and researchers working in this area will find this brief useful.  ¿

Perhaps the only full publication to present a unified and straightforward introduction to the design and analysis of automatic control systems for both atmospheric and space flight vehicles, Automatic Control of Atmospheric and Space Flight Vehicles is intended to be a textbook for senior undergraduate and graduate students in aerospace engineering/aeronautics and astronautics departments. Covering basic control theory and design concepts, the material in the book has been specifically developed for a modern course on flight control systems, where the artificial distinction between aircraft, rockets, and spacecraft is removed. A wide variety of flight control topics are presented in a concise and easy-to-read-yet rigorous-manner. The book highlights an understanding of relevant flight dynamic principles required for designing a flight control system, placing specific emphasis on a wealth of realistic examples and exercises that require programming. A particularly appealing feature of the text is the ready and extensive use of MATLAB®/Simulink® codes in the many solved examples illustrating flight control design and analysis; these examples give the reader hands-on experience with practical problems and make the book an even more useful and illuminating tool. For convenience, all the codes used can be downloaded from the author's and publisher's websites. Moreover, selected exercise solutions are provided in the text, and a full solutions manual is available to instructors online.The coverage of flight control topics in the book is fundamental rather than exhaustive, with a greater emphasis on single-variable control for a strong understanding of the relevant concepts. The work may therefore be used for a first course on flight control systems. However, it also covers some advanced topics-such as linear optimal control, nonlinear orbit plane control, and two-point boundaryvalue problem solution for de-orbiting spacecraft-imparting a flavor of the variety found in automatic flight control, and will be of interest to experienced researchers and practitioners in aerospace and control engineering.

Symmetries and Semi-invariants in the Analysis of Nonlinear Systems details the analysis of continuous- and discrete-time dynamical systems described by differential and difference equations respectively. Differential geometry provides the essential tools for the analysis, tools such as first-integrals or orbital symmetries, together with normal forms of vector fields and of maps. The use of such tools allows the solution of some important problems, studied in detail in the text, which include linearization by state immersion and the computation of nonlinear superposition formulae for nonlinear systems described by solvable Lie algebras.The theory is developed for general nonlinear systems and, in view of their importance for modeling physical systems, specialized for the class of Hamiltonian systems. By using the strong geometric structure of Hamiltonian systems, the results proposed are stated in a quite different, less complex and more easily comprehensible manner. Throughout the text the results are illustrated by many examples, some of them being physically motivated systems, so that the reader can appreciate how much insight is gained by means of these techniques. Various control systems applications of the techniques are characterized including:* computation of the flow of nonlinear systems;* computation of semi-invariants;* computation of Lyapunov functions for stability analysis.Symmetries and Semi-invariants in the Analysis of Nonlinear Systems will be of interest to researchers and graduate students studying control theory, particularly with respect to nonlinear systems. All the necessary background and mathematical derivations are related in detail but in a simple writing style that makes the book accessible in depth to readers having a standard knowledge of real analysis, linear algebra and systems theory.

Nature is full of spidery patterns: lightning bolts, coastlines, nerve cells, termite tunnels, bacteria cultures, root systems, forest fires, soil cracking, river deltas, galactic distributions, mountain ranges, tidal patterns, cloud shapes, sequencing of nucleotides in DNA, cauliflower, broccoli, lungs, kidneys, the scraggly nerve cells that carry signals to and from your brain, the branching arteries and veins that make up your circulatory system. These and other similar patterns in nature are called natural fractals or random fractals. This chapter contains activities that describe random fractals. There are two kinds of fractals: mathematical fractals and natural (or random) fractals. A mathematical fractal can be described by a mathematical formula. Given this formula, the resulting structure is always identically the same (though it may be colored in different ways). In contrast, natural fractals never repeat themselves; each one is unique, different from all others. This is because these processes are frequently equivalent to coin-flipping, plus a few simple rules. Nature is full of random fractals. In this book you will explore a few of the many random fractals in Nature. Branching, scraggly nerve cells are important to life (one of the patterns on the preceding pages). We cannot live without them. How do we describe a nerve cell? How do we classify different nerve cells? Each individual nerve cell is special, unique, different from every other nerve cell. And yet our eye sees that nerve cells are similar to one another.