In this in-depth book, the authors address the concepts and terminology that are needed to work in the field of process control. The material is presented in a straightforward manner that is independent of the control system manufacturer. It is assumed that the reader may not have worked in a process plant environment and may be unfamiliar with the field devices and control systems. Much of the material on the practical aspects of control design and process applications is based on the authors personal experience gained in working with process control systems. Thus, the book is written to act as a guide for engineers, managers, technicians, and others that are new to process control or experienced control engineers who are unfamiliar with multi-loop control techniques. After the traditional single-loop and multi-loop techniques that are most often used in industry are covered, a brief introduction to advanced control techniques is provided. Whether the reader of this book is working as a process control engineer, working in a control group or working in an instrument department, the information will set the solid foundation needed to understand and work with existing control systems or to design new control applications. At various points in the chapters on process characterization and control design, the reader has an opportunity to apply what was learned using web-based workshops. The only items required to access these workshops are a high-speed Internet connection and a web browser. Dynamic process simulations are built into the workshops to give the reader a realistic "hands-on" experience. Also, one chapter of the book is dedicated to techniques that may be used to create process simulations using tools that are commonly available within most distributed control systems. At various points in the chapters on process characterization and control design, the reader has an opportunity to apply what was learned using web-based workshops. The only items required to access these workshops are a high-speed Internet connection and a web browser. Dynamic process simulations are built into the workshops to give the reader a realistic "hands-on" experience. Also, one chapter of the book is dedicated to techniques that may be used to create process simulations using tools that are commonly available within most distributed control systems. As control techniques are introduced, simple process examples are used to illustrate how these techniques are applied in industry. The last chapter of the book, on process applications, contains several more complex examples from industry that illustrate how basic control techniques may be combined to meet a variety of application requirements. As control techniques are introduced, simple process examples are used to illustrate how these techniques are applied in industry. The last chapter of the book, on process applications, contains several more complex examples from industry that illustrate how basic control techniques may be combined to meet a variety of application requirements.

The essential introduction to the principles and applications of feedback systems—now fully revised and expanded This textbook covers the mathematics needed to model, analyze, and design feedback systems. Now more user-friendly than ever, this revised and expanded edition of Feedback Systems is a one-volume resource for students and researchers in mathematics and engineering. It has applications across a range of disciplines that utilize feedback in physical, biological, information, and economic systems. Karl Åström and Richard Murray use techniques from physics, computer science, and operations research to introduce control-oriented modeling. They begin with state space tools for analysis and design, including stability of solutions, Lyapunov functions, reachability, state feedback observability, and estimators. The matrix exponential plays a central role in the analysis of linear control systems, allowing a concise development of many of the key concepts for this class of models. Åström and Murray then develop and explain tools in the frequency domain, including transfer functions, Nyquist analysis, PID control, frequency domain design, and robustness. Features a new chapter on design principles and tools, illustrating the types of problems that can be solved using feedback Includes a new chapter on fundamental limits and new material on the Routh-Hurwitz criterion and root locus plots Provides exercises at the end of every chapter Comes with an electronic solutions manual An ideal textbook for undergraduate and graduate students Indispensable for researchers seeking a self-contained resource on control theory

This examination of the implications and regulation of autonomous weapons systems combines contributions from law, robotics and philosophy.

Crochet Beautiful Sweaters for Every Shape with Simple, Stunning Stitchwork Create the crochet wardrobe of your dreams with this collection of classic pieces that are effortlessly stylish. Janine Myska, the designer behind Knits ‘N Knots, has created 20 gorgeous, brand-new sweater patterns that focus on style, fit and comfort, including helpful customization tips so you can tailor each garment to your unique proportions. With Janine’s keen eye for detail, strong commitment to size diversity and clear, concise instruction, crocheters of every skill level and body type can craft the timeless sweaters they’ve always longed for. Experiment with color in the Fifty Below Color Block Pullover or Mountain Peaks striped cardigan. Bundle up in the Infinite Prairies Poncho or let your playful side show with the Champagne Glow Single-Sleeve Sweater. Dress the December Romance Sweater Dress up for a date night out or down for a casual weekend brunch—either way, you’re sure to turn heads! With chapters dedicated to closet staples, the warmest sweaters for the coldest of days and even lighter-weight projects for the year-round crocheter, every piece in this collection is sure to be a much-loved addition to your wardrobe. It has never been easier to create beautiful crochet garments that flatter your figure and suit any occasion than with Modern Crochet Sweaters.

This open access Brief introduces the basic principles of control theory in a concise self-study guide. It complements the classic texts by emphasizing the simple conceptual unity of the subject. A novice can quickly see how and why the different parts fit together. The concepts build slowly and naturally one after another, until the reader soon has a view of the whole. Each concept is illustrated by detailed examples and graphics. The full software code for each example is available, providing the basis for experimenting with various assumptions, learning how to write programs for control analysis, and setting the stage for future research projects. The topics focus on robustness, design trade-offs, and optimality. Most of the book develops classical linear theory. The last part of the book considers robustness with respect to nonlinearity and explicitly nonlinear extensions, as well as advanced topics such as adaptive control and model predictive control. New students, as well as scientists from other backgrounds who want a concise and easy-to-grasp coverage of control theory, will benefit from the emphasis on concepts and broad understanding of the various approaches. Electronic codes for this title can be downloaded from https://extras.springer.com/?query=978-3-319-91707-8

This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.

The new 4th edition of Seborg’s Process Dynamics Control provides full topical coverage for process control courses in the chemical engineering curriculum, emphasizing how process control and its related fields of process modeling and optimization are essential to the development of high-value products. A principal objective of this new edition is to describe modern techniques for control processes, with an emphasis on complex systems necessary to the development, design, and operation of modern processing plants. Control process instructors can cover the basic material while also having the flexibility to include advanced topics.