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This book answers recent calls in criticism and theory to examine
the influence of genre on contemporary Asian American literary
production. Drawing on cultural theories of representation, social
theories of identity, and poststructuralist genre theory, this
study shows how popular prose fictions have severely constrained
the development of Asian American literary aesthetics.
Presents strategies with reachability graph analysis for optimizing
resource allocation systems Supervisory Control and Scheduling of
Resource Allocation Systems offers an important guide to Petri net
(PN) models and methods for supervisory control and system
scheduling of resource allocation systems (RASs). Resource
allocation systems are common in automated manufacturing systems,
project management systems, cloud data centers, and software
engineering systems. The authors--two experts on the topic--present
a definition, techniques, models, and state-of-the art applications
of supervisory control and scheduling problems. The book introduces
the basic concepts and research background on resource allocation
systems and Petri nets. The authors then focus on the deadlock-free
supervisor synthesis for RASs using Petri nets. The book also
investigates the heuristic scheduling of RASs based on timed Petri
nets. Conclusions and open problems are provided in the last
section of the book. This important book: Includes multiple methods
for supervisory control and scheduling with reachability graphs,
and provides illustrative examples Reveals how to accelerate the
supervisory controller design and system scheduling of RASs based
on PN reachability graphs, with optimal or near-optimal results
Highlights both solution quality and computational speed in RAS
deadlock handling and system scheduling Written for researchers,
engineers, scientists, and professionals in system planning and
control, engineering, operation, and management, Supervisory
Control and Scheduling of Resource Allocation Systems provides an
essential guide to the supervisory control and scheduling of
resource allocation systems (RASs) using Petri net reachability
graphs, which allow for multiple resource acquisitions and flexible
routings.
This book examines the influence of genre on contemporary Asian
American literary production. Drawing on cultural theories of
representation, social theories of identity, and poststructuralist
genre theory, this study shows how popular prose fictions have
severely constrained the development of Asian American literary
aesthetics.
Process Control System Fault Diagnosis: A Bayesian Approach Ruben
T. Gonzalez, University of Alberta, Canada Fei Qi, Suncor Energy
Inc., Canada Biao Huang, University of Alberta, Canada Data-driven
Inferential Solutions for Control System Fault Diagnosis A typical
modern process system consists of hundreds or even thousands of
control loops, which are overwhelming for plant personnel to
monitor. The main objectives of this book are to establish a new
framework for control system fault diagnosis, to synthesize
observations of different monitors with a prior knowledge, and to
pinpoint possible abnormal sources on the basis of Bayesian theory.
Process Control System Fault Diagnosis: A Bayesian Approach
consolidates results developed by the authors, along with the
fundamentals, and presents them in a systematic way. The book
provides a comprehensive coverage of various Bayesian methods for
control system fault diagnosis, along with a detailed tutorial. The
book is useful for graduate students and researchers as a monograph
and as a reference for state-of-the-art techniques in control
system performance monitoring and fault diagnosis. Since several
self-contained practical examples are included in the book, it also
provides a place for practicing engineers to look for solutions to
their daily monitoring and diagnosis problems. Key features: A
comprehensive coverage of Bayesian Inference for control system
fault diagnosis. Theory and applications are self-contained.
Provides detailed algorithms and sample Matlab codes. Theory is
illustrated through benchmark simulation examples, pilot-scale
experiments and industrial application. Process Control System
Fault Diagnosis: A Bayesian Approach is a comprehensive guide for
graduate students, practicing engineers, and researchers who are
interests in applying theory to practice.
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