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Feedback Control Theory for Dynamic Traffic Assignment
The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology impacts all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies, .... , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. Micro-technology and modern commun...
Nonlinear Identification and Control
The purpose of this monograph is to give the broad aspects of nonlinear identification and control using neural networks. It uses a number of simulated and industrial examples throughout, to demonstrate the operation of nonlinear identification and control techniques using neural networks.
Economic Impacts of Intelligent Transportation Systems
There are unique complexities associated with the economic valuation of Intelligent Transportation Systems (ITS) and telematics. Traditional methods of quantitative analysis may not be appropriate in accurately and reliably assessing the economic impacts of these technologies. Although advanced transportation and related technologies are being planned and deployed at an increasingly rapid pace, many of the technologies are still relatively new, and their use may not be widespread. Much of the initial information and statistics gathered have been anecdotal and have focused more on benefits rather than costs. Therefore, difficulties arise due to the lack of historical data and 'lessons learned...
Data-driven Methods for Fault Detection and Diagnosis in Chemical Processes
Early and accurate fault detection and diagnosis for modern chemical plants can minimise downtime, increase the safety of plant operations, and reduce manufacturing costs. The process-monitoring techniques that have been most effective in practice are based on models constructed almost entirely from process data. The goal of the book is to present the theoretical background and practical techniques for data-driven process monitoring. Process-monitoring techniques presented include: Principal component analysis; Fisher discriminant analysis; Partial least squares; Canonical variate analysis. The text demonstrates the application of all of the data-driven process monitoring techniques to the T...
Green Energy and Infrastructure
C. S. Lewis rightly instructed, "The task of the modern educator is not to cut down jungles, but to irrigate deserts." This book aims to achieve this task by pushing the frontiers of scholarship for securing a sustainable future through green energy and infrastructure. This encompasses the notion that what we create is in harmony and integration with both the spatial and temporal domains. Through numerous practical examples and illustrations, this book examines a comprehensive review of the latest science on indoor environmental health, energy requirements for buildings, and the "greening" of infrastructure. Also, it provides a discussion on the underlying properties of biomass and its influ...
Robust Control of Diesel Ship Propulsion
Based on the author’s research and practical projects, he presents a broad view of the needs and problems of the shipping industry in this area. The book covers several models and control types, developing an integrated nonlinear state-space model of the marine propulsion system.
Applied Predictive Control
This focused treatment includes the fundamentals and some state-of-the-art developments in the field of predictive control. A substantial part of the book addresses application issues in predictive control, providing several interesting case studies for more application-oriented readers.
EG-ICE 2020 Workshop on Intelligent Computing in Engineering
The 27th EG-ICE International Workshop 2020 brings together international experts working at the interface between advanced computing and modern engineering challenges. Many engineering tasks require open-world resolutions to support multi-actor collaboration, coping with approximate models, providing effective engineer-computer interaction, search in multi-dimensional solution spaces, accommodating uncertainty, including specialist domain knowledge, performing sensor-data interpretation and dealing with incomplete knowledge. While results from computer science provide much initial support for resolution, adaptation is unavoidable and most importantly, feedback from addressing engineering ch...
Moving Los Angeles
"The Los Angeles region has the most severe traffic congestion in the United States. Excessive traffic congestion detracts from quality of life, is economically wasteful and environmentally damaging, and exacerbates social justice concerns. Residents and policymakers agree that something must be done." "This volume recommends strategies for reducing congestion L.A. County that could be implemented and produce significant improvements within five years. The authors recommend a set of strategies that offer the greatest prospects for reducing congestion and improving transportation options in Los Angeles while considering complementary strategies for building consensus around effective, albeit potentially controversial, congestion-reduction measures. Though the specific recommendations proffered in the book are tailored to the L.A. region, leaders in other cities who are interested in strategies to reduce congestion should also find the study to be of value."--BOOK JACKET.
Autotuning of PID Controllers
Recognising the benefits of improved control, this book aims to provide simple and yet effective methods of improving controller performance. It bridges the gap between the conventional tuning practice and new generations of autotuning methods. Practical issues facing controller tuning are treated, such as measurement noises, process nonlinearity, load disturbances, and multivariable interaction, and tools are also given. Numerous worked examples and case studies are used to illustrate the autotuning procedure, and MATLAB programs to execute autotuning steps are given. This book is intended to be an independent learning tool, and is particularly invaluable to practitioners and scientist, as well as graduate and undergraduate students. The reader will therefore find it useful, particularly as it is applicable to engineering practice
