Modern Predictive Control explains how MPC differs from other control methods in its implementation of a control action. Most importantly, MPC provides the flexibility to act while optimizing—wh
A comprehensive overview of nonlinear H8 control theory for both continuous-time and discrete-time systems, Nonlinear H8-Control, Hamiltonian Systems and Hamilton-Jacobi Equations covers topics as div
Tensor Product Model Transformation in Polytopic Model-Based Control offers a new perspective of control system design. Instead of relying solely on the formulation of more effective LMIs, which is th
Optimal Design for Nonlinear Response Models discusses the theory and applications of model-based experimental design with a strong emphasis on biopharmaceutical studies. The book draws on the authors
Underwater vehicles present some difficult and very particular control system design problems. These are often the result of nonlinear dynamics and uncertain models, as well as the presence of sometim
Written by Behal (U. of Florida, US), Dixon (U. of Florida, US), Dawson (Clemson U., US) and Xian (Tianjin U., China), this work describes frameworks for setting up nonlinear control design problems p
For a host of reasons, nonlinear optical spectroscopy is a valuable tool for biochemical applications where minimally invasive diagnostics is desired. Biochemical Applications of Nonlinear Optical Spe
Prognostic and Predictive Factors in Gynecologic Oncology takes a fresh look at a critical aspect of cancer treatment planning. An international team of authors reviews the traditional prognostic and
The second edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data is still the only book, to date, to distinguish bet
This second edition of this book, Nonlinear Random Vibration: Analytical Techniques and Applications, expands on the original edition with additional detailed steps in various places in the text. It i
Fuzzy logic control (FLC) has proven to be a popular control methodology for many complex systems in industry, and is often used with great success as an alternative to conventional control techniques
Although chemists, biochemists, biologists, and material scientists are often interested in using nonlinear optical techniques for characterizing their samples, they seldom have the necessary backgrou
Air pollution control and air quality engineering are some of the key subjects in any environmental engineering curriculum. This book will cover topics that are fundamental to pollution control engine
While there are many books on advanced control for specialists, there are few that present these topics for nonspecialists. Assuming only a basic knowledge of automatic control and signals and systems
This remarkable book presents nonlinear systems technology and advanced signal processing technology from the most fundamental to modern aspects for next generation biomedical monitoring systems as we
Quantitative Process Control Theory explains how to solve industrial system problems using a novel control system design theory. This easy-to-use theory does not require designers to choose a weightin
This book presents the mathematical foundation for building and implementing industrial control systems. It contains mathematically rigorous models and techniques for control systems in general with s
Nonlinear static monotonic (pushover) analysis has become a common practice in performance-based bridge seismic design. The popularity of pushover analysis is due to its ability to identify the failur
Automatic generation control (AGC) is one of the most important control problems in the design and operation of interconnected power systems. Its significance continues to grow as a result of several
The dominant medium for soliton propagation in electronics, nonlinear transmission line (NLTL) has found wide application as a testbed for nonlinear dynamics and KdV phenomena as well as for practical
At publication, The Control Handbook immediately became the definitive resource that engineers working with modern control systems required. Among its many accolades, that first edition was cited by t
At publication, The Control Handbook immediately became the definitive resource that engineers working with modern control systems required. Among its many accolades, that first edition was cited by t
At publication, The Control Handbook immediately became the definitive resource that engineers working with modern control systems required. Among its many accolades, that first edition was cited by t
This book describes the use of machine learning techniques to build predictive models of uncertainty with application to hydrological models, focusing mainly on the development and testing of two diff
Fuel Cells: Modeling, Control, and Applications describes advanced research results on modeling and control designs for fuel cells and their hybrid energy systems. Filled with simulation examples and
Successfully classroom-tested at the graduate level, Linear Control Theory: Structure, Robustness, and Optimization covers three major areas of control engineering (PID control, robust control, and op
This book is intended for engineers, mathematicians, physicists, and computer scientists interested in control theory and its applications. It describes a special class of linear and bilinear control
Hematology data from in vivo toxicology studies remains one of the most predictive measures for human risk, as the same measurements made in pre-clinical toxicology studies can be made in early clini
The three volumes of this reference are devoted to measurement, control, and digital networks and software systems (they appear at different times and are sold separately). Both hardware and control s
Geotechnical design codes worldwide are increasingly being directed to reliability-based design, for which the characterization of model uncertainty is a critical element. This practical book is based
The book covers model building for different engineering structures and provides detailed presentations of extreme loading conditions. It considers the levels of reserve in existing structures, a
Concrete-filled stainless steel tubular columns offer high strength, ductility, and corrosion resistance. This book presents accurate and efficient computational models for the nonlinear inelastic ana
This connects basic earthquake engineering principles with practical structural design. It includes recent developments of RC structures and nonlinear analysis, structural intervention prior or post-e
Which organizations provide customer satisfaction or inspire customer loyalty? Which is more important? This book gives detailed examples of how to deploy the Kano model of customer service excellence
This book presents a variety of perceptions of and perspectives on infection prevention and control. In doing this, the chapters will reflect upon challenging and controversial new ways of looking at
Born out of fifteen years of courses and lectures on continuum mechanics, nonlinear mechanics, continuum thermodynamics, viscoelasticity, plasticity, crystal plasticity and thermodynamic plasticity, T
A project can be simple or complex. In each case, proven project management processes must be followed. In all cases of project management implementation, control must be exercised in order to assure
"Automatic control is a multidisciplinary subject covering topics of interest for electrical, mechanical, aerospace, chemical and industrial engineers. The objective of this text is to provide a compr
Edited by Takashi Yamaguchi, Mitsuo Hirate, and Chee Khiang Pang, with contributions from pioneers known for their ground-breaking work, High-Speed Precision Motion Control discusses high-precision an
Computer and information scientists and related researchers examine model-based testing from a number of perspectives that combine various aspects of embedded systems, embedded software, their models,
