Optimal and Self-optimizing Control
Author | : Rufus Oldenburger |
Publisher | : MIT Press (MA) |
Total Pages | : 520 |
Release | : 1966 |
Genre | : Computers |
ISBN | : |
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Author | : Rufus Oldenburger |
Publisher | : MIT Press (MA) |
Total Pages | : 520 |
Release | : 1966 |
Genre | : Computers |
ISBN | : |
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.
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
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.
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.
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.
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.”
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.
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.
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.