Network Optimization and Control

Network Optimization and Control
Author: Srinivas Shakkottai
Publisher: Now Publishers Inc
Total Pages: 123
Release: 2008
Genre: Data transmission systems
ISBN: 1601981023

Network Optimization and Control is the ideal starting point for a mature reader with little background on the subject of congestion control to understand the basic concepts underlying network resource allocation.

Real-Time Optimization

Real-Time Optimization
Author: Dominique Bonvin
Publisher: MDPI
Total Pages: 255
Release: 2018-07-05
Genre: Electronic book
ISBN: 303842448X

This book is a printed edition of the Special Issue "Real-Time Optimization" that was published in Processes

Optimal Control Theory and Static Optimization in Economics

Optimal Control Theory and Static Optimization in Economics
Author: Daniel Léonard
Publisher: Cambridge University Press
Total Pages: 372
Release: 1992-01-31
Genre: Business & Economics
ISBN: 9780521337465

Optimal control theory is a technique being used increasingly by academic economists to study problems involving optimal decisions in a multi-period framework. This textbook is designed to make the difficult subject of optimal control theory easily accessible to economists while at the same time maintaining rigour. Economic intuitions are emphasized, and examples and problem sets covering a wide range of applications in economics are provided to assist in the learning process. Theorems are clearly stated and their proofs are carefully explained. The development of the text is gradual and fully integrated, beginning with simple formulations and progressing to advanced topics such as control parameters, jumps in state variables, and bounded state space. For greater economy and elegance, optimal control theory is introduced directly, without recourse to the calculus of variations. The connection with the latter and with dynamic programming is explained in a separate chapter. A second purpose of the book is to draw the parallel between optimal control theory and static optimization. Chapter 1 provides an extensive treatment of constrained and unconstrained maximization, with emphasis on economic insight and applications. Starting from basic concepts, it derives and explains important results, including the envelope theorem and the method of comparative statics. This chapter may be used for a course in static optimization. The book is largely self-contained. No previous knowledge of differential equations is required.

Plantwide Control

Plantwide Control
Author: Gade Pandu Rangaiah
Publisher: John Wiley & Sons
Total Pages: 497
Release: 2012-01-09
Genre: Technology & Engineering
ISBN: 1119940885

The use of control systems is necessary for safe and optimal operation of industrial processes in the presence of inevitable disturbances and uncertainties. Plant-wide control (PWC) involves the systems and strategies required to control an entire chemical plant consisting of many interacting unit operations. Over the past 30 years, many tools and methodologies have been developed to accommodate increasingly larger and more complex plants. This book provides a state-of-the-art of techniques for the design and evaluation of PWC systems. Various applications taken from chemical, petrochemical, biofuels and mineral processing industries are used to illustrate the use of these approaches. This book contains 20 chapters organized in the following sections: Overview and Industrial Perspective Tools and Heuristics Methodologies Applications Emerging Topics With contributions from the leading researchers and industrial practitioners on PWC design, this book is key reading for researchers, postgraduate students, and process control engineers interested in PWC.

Introduction to Applied Optimization

Introduction to Applied Optimization
Author: Urmila Diwekar
Publisher: Springer Science & Business Media
Total Pages: 342
Release: 2013-03-09
Genre: Mathematics
ISBN: 1475737459

This text presents a multi-disciplined view of optimization, providing students and researchers with a thorough examination of algorithms, methods, and tools from diverse areas of optimization without introducing excessive theoretical detail. This second edition includes additional topics, including global optimization and a real-world case study using important concepts from each chapter. Introduction to Applied Optimization is intended for advanced undergraduate and graduate students and will benefit scientists from diverse areas, including engineers.

Applied Optimal Control

Applied Optimal Control
Author: A. E. Bryson
Publisher: CRC Press
Total Pages: 500
Release: 1975-01-01
Genre: Technology & Engineering
ISBN: 9780891162285

This best-selling text focuses on the analysis and design of complicated dynamics systems. CHOICE called it “a high-level, concise book that could well be used as a reference by engineers, applied mathematicians, and undergraduates. The format is good, the presentation clear, the diagrams instructive, the examples and problems helpful...References and a multiple-choice examination are included.”

Optimization Models

Optimization Models
Author: Giuseppe C. Calafiore
Publisher: Cambridge University Press
Total Pages: 651
Release: 2014-10-31
Genre: Business & Economics
ISBN: 1107050871

This accessible textbook demonstrates how to recognize, simplify, model and solve optimization problems - and apply these principles to new projects.

Variational Calculus and Optimal Control

Variational Calculus and Optimal Control
Author: John L. Troutman
Publisher: Springer Science & Business Media
Total Pages: 471
Release: 2012-12-06
Genre: Mathematics
ISBN: 1461207371

An introduction to the variational methods used to formulate and solve mathematical and physical problems, allowing the reader an insight into the systematic use of elementary (partial) convexity of differentiable functions in Euclidian space. By helping students directly characterize the solutions for many minimization problems, the text serves as a prelude to the field theory for sufficiency, laying as it does the groundwork for further explorations in mathematics, physics, mechanical and electrical engineering, as well as computer science.

Iterative Learning Control

Iterative Learning Control
Author: David H. Owens
Publisher: Springer
Total Pages: 473
Release: 2015-10-31
Genre: Technology & Engineering
ISBN: 1447167724

This book develops a coherent and quite general theoretical approach to algorithm design for iterative learning control based on the use of operator representations and quadratic optimization concepts including the related ideas of inverse model control and gradient-based design. Using detailed examples taken from linear, discrete and continuous-time systems, the author gives the reader access to theories based on either signal or parameter optimization. Although the two approaches are shown to be related in a formal mathematical sense, the text presents them separately as their relevant algorithm design issues are distinct and give rise to different performance capabilities. Together with algorithm design, the text demonstrates the underlying robustness of the paradigm and also includes new control laws that are capable of incorporating input and output constraints, enable the algorithm to reconfigure systematically in order to meet the requirements of different reference and auxiliary signals and also to support new properties such as spectral annihilation. Iterative Learning Control will interest academics and graduate students working in control who will find it a useful reference to the current status of a powerful and increasingly popular method of control. The depth of background theory and links to practical systems will be of use to engineers responsible for precision repetitive processes.