home and his clothes with paints and dyes, building better structures, and using fire and tools effectively. The great Chinese, Greek and Roman civilisations all added to the new use of materials, and sculpture and architecture went hand in hand with intellectual and philosophical development. Plato, Euclid, Socrates, Galileo, Leonardo da Vinci, and many others brought society through to the modern age and the start of the Industrial Revolution. More recently another revolution in technology has brought robotics and miniaturisation of components, thus bringing industry more automation and less need for man-operated machinery. During this time engineers have continued to study nature as a model for construction and development. An example is Louis Sullivan with his tension and compression structures based on the Morning Glory flower. Now, the new technique of continuous glass fibre structures, developed by Dr Math (Mathweb) of British Petroleum, go a long way towards helping man to emulate the spider. Developments in rotational moulding, ceramics, glass, controlled crystallisation of metals and many other areas have all introduced new shape possibilities, so now the engineer is more often than not required to be the arbiter of shape and form, rather than being overtly constrained by necessity. It has, however, become possible to distinguish three distinct elements in the design of form which can act as guidelines for the designer, and it is worth studying these in detail.
Practicing designers, students, and educators in the semiconductor field face an ever expanding portfolio of MOSFET models. In "Compact MOSFET Models for VLSI Design," A.B. Bhattacharyya presents a unified perspective on the topic, allowing the practitioner to view and interpret device phenomena concurrently using different modeling strategies. Readers will learn to link device physics with model parameters, helping to close the gap between device understanding and its use for optimal circuit performance. Bhattacharyya also lays bare the core physical concepts that will drive the future of VLSI development, allowing readers to stay ahead of the curve, despite the relentless evolution of new models.
Adopts a unified approach to guide students through the confusing array of MOSFET models Links MOS physics to device models to prepare practitioners for real-world design activities Helps fabless designers bridge the gap with off-site foundries Features rich coverage of: quantum mechanical related phenomena Si-Ge strained-Silicon substrate non-classical structures such as Double Gate MOSFETs Presents topics that will prepare readers for long-term developments in the field Includes solutions in every chapter Can be tailored for use among students and professionals of many levels Comes with MATLAB code downloads for independent practice and advanced study
This book is essential for students specializing in VLSI Design and indispensible for design professionals in the microelectronics and VLSI industries. Written to serve a number of experience levels, it can be used either as a course textbook or practitioner's reference.
Access the MATLAB code, solution manual, and lecture materials at the companion website: www.wiley.com/go/bhattacharyya
Digital media are revolutionising design, both as a tool in design practice and as a way of thinking about design products, processes and systems.
Keep all of your internet website passwords and logins in one location. This journal has hundreds of entry spaces organized from A-Z by letter. There is also plenty of room for notes, network information, and any other computer information that you might need. Buy one for yourself, for family and friends. We have hundreds of unique covers available.
Stochastic distribution control (SDC) systems are widely seen in practical industrial processes, the aim of the controller design being generation of output probability density functions for non-Gaussian systems. Examples of SDC processes are: particle-size-distribution control in chemical engineering, flame-distribution control in energy generation and combustion engines, steel and film production, papermaking and general quality data distribution control for various industries. SDC is different from well-developed forms of stochastic control like minimum-variance and linear-quadratic-Gaussian control, in which the aim is limited to the design of controllers for the output mean and variances.
An important recent development in SDC-related problems is the establishment of intelligent SDC models and the intensive use of linear-matrix-inequality-based (LMI-based) convex optimization methods. Within this theoretical framework, control parameter determination can be designed and stability and robustness of closed-loop systems can be analyzed. Stochastic Distribution Control System Design describes the new framework of SDC system design and provides a comprehensive description of the modelling of controller design tools and their real-time implementation. The book starts with a review of current research on SDC and moves on to some basic techniques for modelling and controller design of SDC systems. This is followed by a description of controller design for fixed-control-structure SDC systems, PDF control for general input- and output-represented systems, filtering designs, and fault detection and diagnosis (FDD) for SDC systems. Many new LMI techniques being developed for SDC systems are shown to have independent theoretical significance for robust control and FDD problems.
This monograph will be of interest to academic researchers in statistical, robust and process control, and FDD, process and quality control engineers working in industry and as a reference for graduate control students.
Website Developers Articles
Website Developers Books