Exploring signals and systems, this work develops continuous-time and discrete-time concepts, highlighting the differences and similarities. Two chapters deal with the Laplace transform and the Z-transform. Basic methods such as filtering, communication an
Representación de señales - Sistemas en tiempo continuo - Series de Fourier - La Transformada de Fourier - La Transformada de Laplace - Sistemas en tiempo discreto - Análisis de Fourier de sistemas en tiempo discreto - La Transformada Z - La Transformada discreta de Fourier - Diseño de filtros analógicos y digitales - Números complejos - Relaciones matemáticas - Teoría elemental de matrices - Descomposicón en fracciones simples.
This thesis (written in Spanish) presents the analysis, design and implementation of a four-quadrant power supply with high-frequency isolation, which is expected to be used to feed the low-energy correction magnet of a particle accelerator. In particle accelerator applications the magnetic field during beam acceleration may be either positive or negative, and true bipolar power converters are needed. The selected bipolar topology consists of a bidirectional three-phase to single-phase reduced matrix converter (RMC) with power factor correction and a bidirectional active rectifier. Main features of this power converter are the ability to regenerate energy back to the utility when the magnet acts as generator, unity power factor at the mains and reduction of volume and weight thanks to the inclusion of the isolation transformer at the switching frequency. A space vector modulation (SVM) technique was used to achieve unity power factor at the input and output current regulation simultaneously. This was done while a symmetrical pure AC profile is generated at the primary side of the isolation transformer. The secondary AC signal is then rectified into a positive or negative voltage, according to the desired output current sign, and later filtered to obtain the output DC current in both polarities. The active rectifier used permits reverse current flow to the primary side when driving an inductive load. By synchronising the commutation of both converters and adding a saturable inductor and a blocking capacitor it is possible to achieve soft commutation for most of the semiconductor elements. An all-digital control based on a Digital-Signal-Processor (DSP) and a Field-Programmed-Gate-Array (FPGA) was used to implement space vector modulation and output current regulation. Output current regulation is performed on a powerful 32-bit fixed-point DSP of Motorola, and was implemented by means of an observer based optimum state feedback control (LQR -- Linear Quadratic Regulator). A reduced order observer was implemented to estimate the output filter inductor current, reducing the number of sensors. Experimental results of a 1.5 kW, 20 kHz prototype are presented to illustrate the performance of the proposed topology.
This second edition continues to emphasise learning by doing and the development of students' ability to use mathematics with understanding to solve engineering problems. Extensive treatment of some advanced engineering topics, particularly as tools for computer-based system modelling, analysis and design. *Follow on text from Modern Engineering Mathematics, 2E - over 20,000 copies sold *Changing student needs catered for by some easier examples and exercises plus new introductory sections on matrix algebra and vector spaces *New chapter on Numerical Solution of Ordinary Differential Equations *Engineering applications covered in specific sections in each chapter *The increasing importance of digital techniques and statistics is recognised throughout
Descended from a long and ancient lineage, tapirs are important tropical forest seed dispersers. However, today, all species of tapirs are threatened to various degrees by habitat destruction and hunting. This action plan was written with wildlife biologists, ecologists, administrators, educators and local conservation officials in mind and is aimed at those countries with tapir populations. It provides a brief natural history of each species and its objective is to aid in their conservation by catalyzing conservation action. In addition, it is hoped that the contents of the plan will stimulate further research into this fascinating group of animals.
This book addresses two significant research areas in an interdependent fashion. It is first of all a comprehensive but concise text that covers the recently developed and widely applicable methods of qualitative choice analysis, illustrating the general theory through simulation models of automobile demand and use. It is also a detailed study of automobile demand and use, presenting forecasts based on these powerful new techniques. The book develops the general principles that underlie qualitative choice models that are now being applied in numerous fields in addition to transportation, such as housing, labor, energy, communications, and criminology. The general form, derivation, and estimation of qualitative choice models are explained, and the major models - logit, probit, and GEV - are discussed in detail. And continuous/discrete models are introduced. In these, qualitative choice methods and standard regression techniques are combined to analyze situations that neither alone can accurately forecast. Summarizing previous research on auto demand, the book shows how qualitative choice methods can be used by applying them to specific auto-related decisions as the aggregate of individuals' choices. The simulation model that is constructed is a significant improvement over older models, and should prove more useful to agencies and organizations requiring accurate forecasting of auto demand and use for planning and policy development. The book concludes with an actual case study based on a model designed for the investigations of the California Energy Commission. Kenneth Train is Visiting Associate Professor in Economics at the University of California, Berkeley, and Director of Economic Research at Cambridge Systematics, Inc., also in Berkeley. Qualitative Choice Analysisis included in The MIT Press Transportation Studies Series, edited by Marvin L. Manheim.
Optimal Regulation addresses the central issue of regulatory economics - how toregulate firms in a way that induces them to produce and price "optimally." It synthesizes the majorfindings of an extensive theoretical literature on what constitutes optimality in various situationsand which regulatory mechanisms can be used to achieve it. It is the first text to provide aunified, modern, and nontechnical treatment of the field.The book includes models for regulatingoptimal output, tariffs, and surplus subsidy schemes, and presents all of the material graphically,with clear explanations of often highly technical topics.Kenneth E. Train is Associate AdjunctProfessor in the Department of Economics and Graduate School of Public Policy at the University ofCalifornia, Berkeley. He is also Principal of the firm Cambridge Systematics.Topics include: Thecost structure of natural monopoly (economies of scale and scope). Characterization of firstandsecond-best optimality. Surplus subsidy schemes for attaining first-best optimality. Ramsey pricesand the Vogelsang-Finsinger mechanism for attaining them. Time-ofuse (TOU) prices and Riordan'smechanisms for attaining the optimal TOU prices' Multipart and self-selecting tariffs, and Sibley'smethod for using self-selecting tariffs to achieve optimality. The Averch-Johnson model of howrate-of-return regulation induces inefficiencies. Analysis of regulation based on the firm's returnon Output, costs, or sales. Price-cap regulation. Regulatory treatment of uncertainty and its impacton the firm's behavior. Methods of attaining optimality without direct regulation (contestability,auctioning the monopoly franchise.)
This book proposes a new science of self-control based on the principles of behavioral psychology and economics. Claiming that insight and self-knowledge are insufficient for controlling one's behavior, Howard Rachlin argues that the only way to achieve such control--and ultimately happiness--is through the development of harmonious patterns of behavior. Most personal problems with self-control arise because people have difficulty delaying immediate gratification for a better future reward. The alcoholic prefers to drink now. If she is feeling good, a drink will make her feel better. If she is feeling bad, a drink will make her feel better. The problem is that drinking will eventually make her feel worse. This sequence--the consistent choice of a highly valued particular act (such as having a drink or a smoke) that leads to a low-valued pattern of acts--is called "the primrose path." To avoid it, the author presents a strategy of "soft commitment," consisting of the development of valuable patterns of behavior that bridge over individual temptations. He also proposes, from economics, the concept of the substitutability of "positive addictions," such as social activity or exercise, for "negative addictions," such as drug abuse or overeating. Self-control may be seen as the interaction with one's own future self. Howard Rachlin shows that indeed the value of the whole--of one's whole life--is far greater than the sum of the values of its individual parts.