Practical Control Engineering Guide For Engineers Managers And Practitioners

Author: David Koenig
Publisher: McGraw Hill Professional
ISBN: 0071606149
Size: 52.74 MB
Format: PDF, ePub, Docs
View: 1824
An Essential Guide to Control Engineering Fundamentals Understand the day-to-day procedures of today's control engineer with the pragmatic insights and techniques contained in this unique resource. Written in clear, concise language, Practical Control Engineering shows, step-by-step, how engineers simulate real-world phenomena using dynamic models and algorithms. Learn how to handle single and multiple-staged systems, implement error-free feedback control, eliminate anomalies, and work in the frequency and discrete-time domains. Extensive appendices cover basic calculus, differential equations, vector math, Laplace and Z-transforms, and Matlab basics. Practical Control Engineering explains how to: Gain insight into control engineering and process analysis Write and debug algorithms that simulate physical processes Understand feedback, feedforward, open loops, and cascade controls Build behavioral models using basic applied mathematics Analyze lumped, underdamped, and distributed processes Comprehend matrix, vector, and state estimation concepts Convert from continuous to discrete-time and frequency domains Filter out white noise, colored noise, and stochaic disturbances

Matlab For Control Engineers

Author: Katsuhiko Ogata
Publisher: Prentice Hall
ISBN: 0136150772
Size: 28.90 MB
Format: PDF
View: 6593
Notable author Katsuhiko Ogata presents the only new book available to discuss, in sufficient detail, the details of MATLAB® materials needed to solve many analysis and design problems associated with control systems. Complements a large number of examples with in-depth explanations, encouraging complete understanding of the MATLAB approach to solving problems. Distills the large volume of MATLAB information available to focus on those materials needed to study analysis and design problems of deterministic, continuous-time control systems. Covers conventional control systems such as transient response, root locus, frequency response analyses and designs; analysis and design problems associated with state space formulation of control systems; and useful MATLAB approaches to solve optimization problems. A useful self-study guide for practicing control engineers.

Financial Risk Management

Author: Steve L. Allen
Publisher: John Wiley & Sons
ISBN: 1118226526
Size: 49.89 MB
Format: PDF
View: 4543
A top risk management practitioner addresses the essential aspects of modern financial risk management In the Second Edition of Financial Risk Management + Website, market risk expert Steve Allen offers an insider's view of this discipline and covers the strategies, principles, and measurement techniques necessary to manage and measure financial risk. Fully revised to reflect today's dynamic environment and the lessons to be learned from the 2008 global financial crisis, this reliable resource provides a comprehensive overview of the entire field of risk management. Allen explores real-world issues such as proper mark-to-market valuation of trading positions and determination of needed reserves against valuation uncertainty, the structuring of limits to control risk taking, and a review of mathematical models and how they can contribute to risk control. Along the way, he shares valuable lessons that will help to develop an intuitive feel for market risk measurement and reporting. Presents key insights on how risks can be isolated, quantified, and managed from a top risk management practitioner Offers up-to-date examples of managing market and credit risk Provides an overview and comparison of the various derivative instruments and their use in risk hedging Companion Website contains supplementary materials that allow you to continue to learn in a hands-on fashion long after closing the book Focusing on the management of those risks that can be successfully quantified, the Second Edition of Financial Risk Management + Websiteis the definitive source for managing market and credit risk.

Embedded Systems Architecture For Agile Development

Author: Mohsen Mirtalebi
Publisher: Apress
ISBN: 1484230515
Size: 42.13 MB
Format: PDF, Kindle
View: 1411
Utilize a new layers-based development model for embedded systems using Agile techniques for software architecture and management. Firmware is comprised of both hardware and software, but the applicability of Agile in embedded systems development is new. This book provides a step-by-step process showing how this is possible. The book details how the moving parts in embedded systems development affect one another and shows how to properly use both engineering tools and new tools and methods to reduce waste, rework, and product time-to-market. Software is seen not as a commodity but a conduit to facilitate valuable product knowledge flow across the company into the hands of the customer. Embedded Systems Architecture for Agile Development starts off by reviewing the Layers model used in other engineering disciplines, as well as its advantages and applicability to embedded systems development. It outlines development models from project-based methodologies (e.g., collaborative product development) to the newer modern development visions (e.g., Agile) in software and various tools and methods that can help with a Layers model implementation. The book covers requirement modeling for embedded systems (Hatley-Pirbhai Method) and how adapting the HP Method with the help of the tools discussed in this book can be seen as a practical example for a complete embedded system. What You’ll Learn Identify the major software parts involved in building a typical modern firmware Assign a layer to each software part so each layer can be separate from another and there won’t be interdependencies between them Systematically and logically create these layers based on the customer requirements Use Model-Based Design (MBD) to create an active system architecture that is more accepting of changes Who This Book Is For Firmware engineers; systems architects; hardware and software managers, developers, designers, and architects; program managers; project managers; Agile practitioners; and manufacturing engineers and managers. The secondary audience includes research engineers and managers, and engineering and manufacturing managers.

Designing High Availability Systems

Author: Zachary Taylor
Publisher: John Wiley & Sons
ISBN: 1118753739
Size: 61.11 MB
Format: PDF, Kindle
View: 5494
A practical, step-by-step guide to designing world-class, high availability systems using both classical and DFSS reliability techniques Whether designing telecom, aerospace, automotive, medical, financial, or public safety systems, every engineer aims for the utmost reliability and availability in the systems he, or she, designs. But between the dream of world-class performance and reality falls the shadow of complexities that can bedevil even the most rigorous design process. While there are an array of robust predictive engineering tools, there has been no single-source guide to understanding and using them . . . until now. Offering a case-based approach to designing, predicting, and deploying world-class high-availability systems from the ground up, this book brings together the best classical and DFSS reliability techniques. Although it focuses on technical aspects, this guide considers the business and market constraints that require that systems be designed right the first time. Written in plain English and following a step-by-step "cookbook" format, Designing High Availability Systems: Shows how to integrate an array of design/analysis tools, including Six Sigma, Failure Analysis, and Reliability Analysis Features many real-life examples and case studies describing predictive design methods, tradeoffs, risk priorities, "what-if" scenarios, and more Delivers numerous high-impact takeaways that you can apply to your current projects immediately Provides access to MATLAB programs for simulating problem sets presented, along with PowerPoint slides to assist in outlining the problem-solving process Designing High Availability Systems is an indispensable working resource for system engineers, software/hardware architects, and project teams working in all industries.

Optimization In Practice With Matlab

Author: Achille Messac
Publisher: Cambridge University Press
ISBN: 1107109183
Size: 19.47 MB
Format: PDF, ePub, Mobi
View: 5120
This textbook is designed for students and industry practitioners for a first course in optimization integrating MATLAB® software.

Tensor Product Model Transformation In Polytopic Model Based Control

Author: Péter Baranyi
Publisher: CRC Press
ISBN: 1439818177
Size: 34.35 MB
Format: PDF
View: 3175
Tensor Product Model Transformation in Polytopic Model-Based Control offers a new perspective of control system design. Instead of relying solely on the formulation of more effective LMIs, which is the widely adopted approach in existing LMI-related studies, this cutting-edge book calls for a systematic modification and reshaping of the polytopic convex hull to achieve enhanced performance. Varying the convexity of the resulting TP canonical form is a key new feature of the approach. The book concentrates on reducing analytical derivations in the design process, echoing the recent paradigm shift on the acceptance of numerical solution as a valid form of output to control system problems. The salient features of the book include: Presents a new HOSVD-based canonical representation for (qLPV) models that enables trade-offs between approximation accuracy and computation complexity Supports a conceptually new control design methodology by proposing TP model transformation that offers a straightforward way of manipulating different types of convexity to appear in polytopic representation Introduces a numerical transformation that has the advantage of readily accommodating models described by non-conventional modeling and identification approaches, such as neural networks and fuzzy rules Presents a number of practical examples to demonstrate the application of the approach to generate control system design for complex (qLPV) systems and multiple control objectives. The authors’ approach is based on an extended version of singular value decomposition applicable to hyperdimensional tensors. Under the approach, trade-offs between approximation accuracy and computation complexity can be performed through the singular values to be retained in the process. The use of LMIs enables the incorporation of multiple performance objectives into the control design problem and assurance of a solution via convex optimization if feasible. Tensor Product Model Transformation in Polytopic Model-Based Control includes examples and incorporates MATLAB® Toolbox TPtool. It provides a reference guide for graduate students, researchers, engineers, and practitioners who are dealing with nonlinear systems control applications.

Feedback Control Of Computing Systems

Author: Joseph L. Hellerstein
Publisher: John Wiley & Sons
ISBN: 9780471668817
Size: 72.86 MB
Format: PDF, Mobi
View: 523
This is the first practical treatment of the design and application of feedback control of computing systems. MATLAB files for the solution of problems and case studies accompany the text throughout. The book discusses information technology examples, such as maximizing the efficiency of Lotus Notes. This book results from the authors' research into the use of control theory to model and control computing systems. This has important implications to the way engineers and researchers approach different resource management problems. This guide is well suited for professionals and researchers in information technology and computer science.

Simulation And Optimization In Finance

Author: Dessislava A. Pachamanova
Publisher: John Wiley & Sons
ISBN: 9780470882122
Size: 50.21 MB
Format: PDF, Docs
View: 3067
An introduction to the theory and practice of financial simulation and optimization In recent years, there has been a notable increase in the use of simulation and optimization methods in the financial industry. Applications include portfolio allocation, risk management, pricing, and capital budgeting under uncertainty. This accessible guide provides an introduction to the simulation and optimization techniques most widely used in finance, while at the same time offering background on the financial concepts in these applications. In addition, it clarifies difficult concepts in traditional models of uncertainty in finance, and teaches you how to build models with software. It does this by reviewing current simulation and optimization methodology-along with available software-and proceeds with portfolio risk management, modeling of random processes, pricing of financial derivatives, and real options applications. Contains a unique combination of finance theory and rigorous mathematical modeling emphasizing a hands-on approach through implementation with software Highlights not only classical applications, but also more recent developments, such as pricing of mortgage-backed securities Includes models and code in both spreadsheet-based software (@RISK, Solver, Evolver, VBA) and mathematical modeling software (MATLAB) Filled with in-depth insights and practical advice, Simulation and Optimization Modeling in Finance offers essential guidance on some of the most important topics in financial management.