Microprocessors and Small Digital Computer Systems [hardcover] Korn, Granino A. [Sep 01, 1977]

Microprocessors and Small Digital Computer Systems for Engineers and Scientists

Korn, Granino Arthur

Reference

McGraw-Hill Companies

A reliable source of definitions, theorems, and formulas, this authoritative handbook provides convenient access to information from every area of mathematics. Coverage includes Fourier transforms, Z transforms, linear and nonlinear programming, calculus of variations, random-process theory, special functions, combinatorial analysis, numerical methods, game theory, and much more.

Mathematical Handbook for Scientists and Engineers

Science & Math

Korn, Theresa M.

Mathematics

McGraw=Hill

This revision of one of the first textbooks published for the Operational Amplifiers course offered in Electrical Engineering departments. The second edition contains new material on active RC filters, new specifications of commercially available components, and material on newer and more up-to-date circuits. The revision also includes expanded and rewritten homework problems and more illustrative examples throughout the text.

Introduction to Operational Amplifier Theory and Applications

Engineering & Transportation

Huelsman, Lawrence P.

Wait, John V.

Granino, A. Korn

Engineering

Mcgraw-Hill College

Showing you how to use personal computers for modeling and simulation, Interactive Dynamic-System Simulation, Second Edition provides a practical tutorial on interactive dynamic-system modeling and simulation. It discusses how to effectively simulate dynamical systems, such as aerospace vehicles, power plants, chemical processes, control systems, and physiological systems.  Written by a pioneer in simulation, the book introduces dynamic-system models and explains how software for solving differential equations works. After demonstrating real simulation programs with simple examples, the author integrates a new treatment of the difference equation programs needed to model sampled-data control systems with digital controllers. Subsequent chapters provide detailed programming know-how. These chapters cover library, table-lookup, user-definable, limiter, switching, and noise functions; an experiment-protocol scripting language; powerful vector and matrix operations; and classical simulation programs that illustrate a number of useful programming tricks. The final chapter shows how experiment-protocol scripts and compiled DYNAMIC program segments can quickly solve mathematical problems, including fast graph plotting, Fourier transforms, and complex-number plots. CD-ROM ResourceThe accompanying CD-ROM contains a complete, industrial-strength simulation program package. To install the ready-to-run simulation system, simply copy a single Windows or Linux folder from the CD. You can then run and modify every program example in the text or try your own projects. For truly interactive modeling, screen-edited programs are run-time compiled and immediately produce solution displays on a typed run command.

Interactive Dynamic System Simulation: IBM PC Compatible/Book/Disk Set

Computers & Technology

Presents a new technique for interactive, direct-executing dynamic-system simulation with ordinary personal computers. Demonstrates a new environment for interactive experimentation with models of aerospace vehicles, control systems, chemical processes and biological systems. Annotation copyright Book News, Inc. Portland, Or.

Interactive Dynamic System Simulation

Software

Most neural-network programs for personal computers and engineering workstations simply control a fixed set of canned network-layer algorithms with pulldown menus. This hands-on tutorial demonstrates both neural networks and fuzzy-logic control with a different approach. A natural, computer-readable notation for matrix operations and differential equations lets users create their own neural networks and fuzzy-logic controllers on the screen; real simulation experiments then execute immediately. Neural Networks and Fuzzy-Logic Control introduces a simple integrated environment for programming displays and report generation. It includes the only currently available software that permits combined simulation of multiple neural networks, fuzzy logic controllers, and dynamic systems such as robots or physiological models. The enclosed educational version of DESIRE/NEUNET differs for the full system mainly in the size of its data area and includes two screen editors, compiler, color graphics, amd many ready-to-run examples. The software lets users or instructors add their own help screens and interactive menus. Differential equations in scalar and/or matrix form are entered in ordinary mathematical notation. Users can program new neural networks or fuzzy logic applications without learning C or LISP. For truly interactive experimentation, the extra-fast compilation is unnoticeable, and simulation speed still compares well with that of special accessory processors. The 123 figures include block diagrams, simulation-output graphs produced on personal computers and engineering workstations and many complete computer programs. The version of DESIRE/NEUNET included here is for PCs, viz. 286/287, 386/387, 486DX, Pentium, P6, SX with math coprocessor. A Bradford Book

Neural Networks and Fuzzy-Logic Control on Personal Computers and Workstations

Certification

Bradford Books

A hands-on tutorial, covering interactive simulation of dynamical systems such as aerospace vehicles, power plants, chemical processes, control systems, and physiological systems. In practice, simulation experiments are employed for iterative decision-making, whereby programs are run, modified, and run again and again. It is very important to emphasize interactive simulation programming. To this end, the user-friendly Microsoft Windows 95 interface is combined with the DESIRE (Direct Executing Simulation) language. The first chapter introduces dynamical system models and the principles of differential-equation-solving problems. The following chapters provide a tutorial on effective simulation programming, with examples from physics, aerospace, engineering, population dynamics, and physiology. The remaining chapters provide more detailed programming know-how.

Interactive Dynamic-System Simulation (Numerical Insights)

Korn, Ranino A.

Computer Science

CRC-Press

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