Bayesian Process Monitoring, Control and Optimization

Bayesian Process Monitoring, Control and Optimization
Author: Bianca M. Colosimo
Publisher: CRC Press
Total Pages: 350
Release: 2006-11-10
Genre: Business & Economics
ISBN: 1420010700

Although there are many Bayesian statistical books that focus on biostatistics and economics, there are few that address the problems faced by engineers. Bayesian Process Monitoring, Control and Optimization resolves this need, showing you how to oversee, adjust, and optimize industrial processes. Bridging the gap between application and dev

Perspectives in Flow Control and Optimization

Perspectives in Flow Control and Optimization
Author: Max D. Gunzburger
Publisher: SIAM
Total Pages: 273
Release: 2003-01-01
Genre: Science
ISBN: 089871527X

Introduces several approaches for solving flow control and optimization problems through the use of modern methods.

Process Optimization

Process Optimization
Author: Enrique del Castillo
Publisher: Springer Science & Business Media
Total Pages: 462
Release: 2007-09-14
Genre: Mathematics
ISBN: 0387714359

This book covers several bases at once. It is useful as a textbook for a second course in experimental optimization techniques for industrial production processes. In addition, it is a superb reference volume for use by professors and graduate students in Industrial Engineering and Statistics departments. It will also be of huge interest to applied statisticians, process engineers, and quality engineers working in the electronics and biotech manufacturing industries. In all, it provides an in-depth presentation of the statistical issues that arise in optimization problems, including confidence regions on the optimal settings of a process, stopping rules in experimental optimization, and more.

Introduction to the Scenario Approach

Introduction to the Scenario Approach
Author: Marco C. Campi
Publisher: SIAM
Total Pages: 121
Release: 2018-11-15
Genre: Mathematics
ISBN: 1611975433

This book is about making decisions driven by experience. In this context, a scenario is an observation that comes from the environment, and scenario optimization refers to optimizing decisions over a set of available scenarios. Scenario optimization can be applied across a variety of fields, including machine learning, quantitative finance, control, and identification. This concise, practical book provides readers with an easy access point to make the scenario approach understandable to nonexperts, and offers an overview of various decision frameworks in which the method can be used. It contains numerous examples and diverse applications from a broad range of domains, including systems theory, control, biomedical engineering, economics, and finance. Practitioners can find "easy-to-use recipes," while theoreticians will benefit from a rigorous treatment of the theoretical foundations of the method, making it an excellent starting point for scientists interested in doing research in this field. Introduction to the Scenario Approach will appeal to scientists working in optimization, practitioners working in myriad fields involving decision-making, and anyone interested in data-driven decision-making.

State Estimation for Dynamic Systems

State Estimation for Dynamic Systems
Author: Felix L. Chernousko
Publisher: CRC Press
Total Pages: 322
Release: 1993-11-09
Genre: Technology & Engineering
ISBN: 9780849344589

State Estimation for Dynamic Systems presents the state of the art in this field and discusses a new method of state estimation. The method makes it possible to obtain optimal two-sided ellipsoidal bounds for reachable sets of linear and nonlinear control systems with discrete and continuous time. The practical stability of dynamic systems subjected to disturbances can be analyzed, and two-sided estimates in optimal control and differential games can be obtained. The method described in the book also permits guaranteed state estimation (filtering) for dynamic systems in the presence of external disturbances and observation errors. Numerical algorithms for state estimation and optimal control, as well as a number of applications and examples, are presented. The book will be an excellent reference for researchers and engineers working in applied mathematics, control theory, and system analysis. It will also appeal to pure and applied mathematicians, control engineers, and computer programmers.

Engineering Applications of Noncommutative Harmonic Analysis

Engineering Applications of Noncommutative Harmonic Analysis
Author: Gregory S. Chirikjian
Publisher: CRC Press
Total Pages: 555
Release: 2021-02-25
Genre: Mathematics
ISBN: 1000697339

First published in 2001. The classical Fourier transform is one of the most widely used mathematical tools in engineering. However, few engineers know that extensions of harmonic analysis to functions on groups holds great potential for solving problems in robotics, image analysis, mechanics, and other areas. For those that may be aware of its potential value, there is still no place they can turn to for a clear presentation of the background they need to apply the concept to engineering problems. Engineering Applications of Noncommutative Harmonic Analysis brings this powerful tool to the engineering world. Written specifically for engineers and computer scientists, it offers a practical treatment of harmonic analysis in the context of particular Lie groups (rotation and Euclidean motion). It presents only a limited number of proofs, focusing instead on providing a review of the fundamental mathematical results unknown to most engineers and detailed discussions of specific applications. Advances in pure mathematics can lead to very tangible advances in engineering, but only if they are available and accessible to engineers. Engineering Applications of Noncommutative Harmonic Analysis provides the means for adding this valuable and effective technique to the engineer's toolbox.