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Introduction to 6800/6802 Microprocessor Systems: Hardware, Software and Experimentation introduces the reader to the features, characteristics, operation, and applications of the 6800/6802 microprocessor and associated family of devices. Many worked examples are included to illustrate the theoretical and practical aspects of the 6800/6802 microprocessor. Comprised of six chapters, this book begins by presenting several aspects of digital systems before introducing the concepts of fetching and execution of a microprocessor instruction. Details and descriptions of hardware elements (MPU, RAM, ROM, PIA, etc.) necessary for the design and implementation of dedicated systems are also considered. Subsequent chapters focus on how the 6800/6802 microprocessor can be programmed at the machine-code level and by assembler programming techniques; the principles involved in interfacing the MPU system to peripheral equipment; practical aspects of parallel and serial data transfer techniques using the PIA and ACIA, respectively; hardware and software features of the Motorola MEK6802D5E evaluation system. The book concludes by discussing details of 12 investigations that may be undertaken using the MEK6802D5E evaluation system. This monograph is intended for students, technicians, scientists, and engineers.
Simulation of ODE/PDE Models with MATLAB®, OCTAVE and SCILAB shows the reader how to exploit a fuller array of numerical methods for the analysis of complex scientific and engineering systems than is conventionally employed. The book is dedicated to numerical simulation of distributed parameter systems described by mixed systems of algebraic equations, ordinary differential equations (ODEs) and partial differential equations (PDEs). Special attention is paid to the numerical method of lines (MOL), a popular approach to the solution of time-dependent PDEs, which proceeds in two basic steps: spatial discretization and time integration. Besides conventional finite-difference and element techniques, more advanced spatial-approximation methods are examined in some detail, including nonoscillatory schemes and adaptive-grid approaches. A MOL toolbox has been developed within MATLAB®/OCTAVE/SCILAB. In addition to a set of spatial approximations and time integrators, this toolbox includes a collection of application examples, in specific areas, which can serve as templates for developing new programs. Simulation of ODE/PDE Models with MATLAB®, OCTAVE and SCILAB provides a practical introduction to some advanced computational techniques for dynamic system simulation, supported by many worked examples in the text, and a collection of codes available for download from the book’s page at www.springer.com. This text is suitable for self-study by practicing scientists and engineers and as a final-year undergraduate course or at the graduate level.