Explicit Nonlinear Model Predictive Control

Model-Based Control of a Robot Manipulator presents the first integrated treatment of many of the most important recent developments in using detailed dynamic models of robots to improve their control

In order to model neuronal behavior or to interpret the results of modeling studies, neuroscientists must call upon methods of nonlinear dynamics. This book offers an introduction to nonlinear dynamic

Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk a

Over the past sixty years, powerful methods of model-based control engineering havebeen responsible for such dramatic advances in engineering systems as autolanding aircraft,autonomous vehicles, and e

A photographic journey through the architecture of North Korea's "model" utopia. The story of Pyongyang is unique even in the annals of model cities and modernist utopias. Entirely rebuilt after the

In Community-Driven Regulation Dara O'Rourke proposes a new policy model for pollution control, based on detailed case studies from rapidly industrializing Vietnam. He shows that environmental problem

This monograph addresses the problem of "real-time" curve fitting in the presence of noise, from the computational and statistical viewpoints. It examines the problem of nonlinear regression, where ob

Planning and evaluating air pollution control strategies is a difficult and demanding task requiring the application of the most advanced technical and computational resources that are available to th

How biomedical research using various animal species and in vitro cellular systems has resulted in both major successes and translational failure.In Model Systems in Biology, comparative neurobiologist Georg Striedter examines how biomedical researchers have used animal species and in vitro cellular systems to understand and develop treatments for human diseases ranging from cancer and polio to Alzheimer’s disease and schizophrenia. Although there have been some major successes, much of this “translational” research on model systems has failed to generalize to humans. Striedter explores the history of such research, focusing on the models used and considering the question of model selection from a variety of perspectives―the philosophical, the historical, and that of practicing biologists. Striedter reviews some philosophical concepts and ethical issues, including concerns over animal suffering and the compromises that result. He traces the history of the most widely used animal and in

The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice.Machine learning is often used to build predictiv

An investigation of different uses for the architectural model through history-as sign, souvenir, funerary object, didactic tool, medium for design, and architect's muse. For more than five hundred

An expanded and updated edition of a comprehensive presentation of the theory and practice of model checking, a technology that automates the analysis of complex systems.Model checking is a verificati

Sparse modeling is a rapidly developing area at the intersection of statisticallearning and signal processing, motivated by the age-old statistical problem of selecting a smallnumber of predictive var

This book bridges optimal control theory and economics, discussing ordinarydifferential equations, optimal control, game theory, and mechanism design in one volume.Technically rigorous and largely sel

Issues of regulation and control are central to the study of biological and biochemical systems. Thus it is not surprising that the tools of feedback control theory—engineering techniques devel

Issues of regulation and control are central to the study of biological and biochemical systems. Thus it is not surprising that the tools of feedback control theory -- engineering techniques developed

Dataset shift is a common problem in predictive modeling that occurs when the joint distribution of inputs and outputs differs between training and test stages. Covariate shift, a particular case of

How has the Internet, a medium that thrives on control, been accepted as a medium of freedom? Why is freedom increasingly indistinguishable from paranoid control? In Control and Freedom, Wendy Hui Kyo

In this text, Robret Barro applies his free market arguments to a diverse range of issues. These include global problems such as growth and debt, as well as social issues such as the predictive value

Model checking is a technique for verifying finite state concurrent systems such as sequential circuit designs and communication protocols. It has a number of advantages over traditional approaches t

Essays present explicit syntactic analyses that adhere to programmatic minimalistguidelines.

Many science and engineering applications require the user to find solutions to systems of nonlinear constraints or to optimize a nonlinear function subject to nonlinear constraints. The field of glob

Control Flow Semantics presents a unified, formal treatment of the semantics of a wide spectrum of control flow notions as found in sequential, concurrent, logic, object-oriented, and functional progr

Argument Structure is a contribution to linguistics at the interface between lexicalsyntax and lexical semantics. It formulates an original and highly predictive theory of argumentstructure that accou

This book presents a theory of grammatical relations among sentential constituentswhich is a development of Chomsky's Government-Binding Theory. The cross-linguistic predictive powerof the theory is u

In Estimation and Control with Quantized Measurements, Dr. Curry examines the two distinct but related problems of state variable estimation and control when the measurements are quantized. Considerat

A systematic investigation of growth in nature and society, from tiny organisms to the trajectories of empires and civilizations.Growth has been both an unspoken and an explicit aim of our individual

A systematic investigation of growth in nature and society, from tiny organisms to the trajectories of empires and civilizations.Growth has been both an unspoken and an explicit aim of our individual

Experts explore the maturation of nonlinear brain dynamics from a developmental perspective and consider the relationship of neurodevelopmental disorders to early disruption in dynamic coordination.Th

The Biologische Versuchsanstalt was founded in Vienna in 1902 with the explicit goal to foster the quantification, mathematization, and theory formation of the biological sciences. Three biologists fr

The rise of genomics engendered intense struggle over the control of knowledge. In Reordering Life, Stephen Hilgartner examines the "genomics revolution" and develops a novel approach to studying the

In this book, Frank Guenther offers a comprehensive, unified account of the neural computations underlying speech production, with an emphasis on speech motor control rat

This book revives and reinterprets a persistent intuition running through much of the classical work: that the unitary appearance of Obligatory Control into complements conceals an underlying duality

This book revives and reinterprets a persistent intuition running through much of the classical work: that the unitary appearance of Obligatory Control into complements conceals an underlying duality

Explicit collusion is an agreement among competitors to suppress rivalry that relieson interfirm communication and/or transfers. Rivalry between competitors erodes profits; thesuppression of rivalry t

This book proposes a transdisciplinary approach to investigating human motor controlthat synthesizes musculoskeletal biomechanics and neural control. The authors argue that thisintegrated approach --

Full employment used to be an explicit goal of economic policy in most of theindustrialized world. Some countries even achieved it. In Back to FullEmployment, economist Robert Pollin argues that the U

Explicit collusion is an agreement among competitors to suppress rivalry that relieson interfirm communication and/or transfers. Rivalry between competitors erodes profits; thesuppression of rivalry t

Explicit deposit insurance (DI) is widely held to be a crucial element of modern financial safety nets. For this reason, establishing a DI system is frequently recommended by outside experts to count

This book explains the relationship of electrophysiology, nonlinear dynamics, and the computational properties of neurons, with each concept presented in terms of both neuroscience and mathematics and