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Cooperative Control of Nonlinear Networked Systems: Infinite-time and Finite-time Design Methods (Communications and Control Engineering)
Cooperative Control of Nonlinear Networked Systems: Infinite-time and Finite-time Design Methods (Communications and Control Engineering)

Cooperative Control of Nonlinear Networked Systems is concerned with the distributed cooperative control of multiple networked nonlinear systems in the presence of unknown non-parametric uncertainties and non-vanishing disturbances under certain communication conditions. It covers stability analysis tools and...

Fantasies of Time and Death: Dunsany, Eddison, Tolkien
Fantasies of Time and Death: Dunsany, Eddison, Tolkien
This book reveals the unique contribution made by the three founding fathers of British fantasy?Lord Dunsany, E. R. Eddison and J. R. R. Tolkien?to our culture’s perennial reassessment of the meanings of time, death and eternity. It traces the poetic, philosophical and theological roots of the striking preoccupation with mortality and...
Theory and Approaches of Group Decision Making with Uncertain Linguistic Expressions (Uncertainty and Operations Research)
Theory and Approaches of Group Decision Making with Uncertain Linguistic Expressions (Uncertainty and Operations Research)
This book mainly introduces a series of theory and approaches of group decision-making based on several types of uncertain linguistic expressions and addresses their applications. The book pursues three major objectives: (1) to introduce some techniques to model several types of natural linguistic expressions; (2) to handle these...
Integrating Soft Computing into Strategic Prospective Methods: Towards an Adaptive Learning Environment Supported by Futures Studies (Studies in Fuzziness and Soft Computing)
Integrating Soft Computing into Strategic Prospective Methods: Towards an Adaptive Learning Environment Supported by Futures Studies (Studies in Fuzziness and Soft Computing)

This book discusses how to build optimization tools able to generate better future studies. It aims at showing how these tools can be used to develop an adaptive learning environment that can be used for decision making in the presence of uncertainties. The book starts with existing fuzzy techniques and multicriteria decision making...

Applied Stochastic Differential Equations (Institute of Mathematical Statistics Textbooks)
Applied Stochastic Differential Equations (Institute of Mathematical Statistics Textbooks)
Stochastic differential equations are differential equations whose solutions are stochastic processes. They exhibit appealing mathematical properties that are useful in modeling uncertainties and noisy phenomena in many disciplines. This book is motivated by applications of stochastic differential equations in target tracking and medical...
Randomized Algorithms for Analysis and Control of Uncertain Systems: With Applications (Communications and Control Engineering)
Randomized Algorithms for Analysis and Control of Uncertain Systems: With Applications (Communications and Control Engineering)

The presence of uncertainty in a system description has always been a critical issue in control. The main objective of Randomized Algorithms for Analysis and Control of Uncertain Systems, with Applications (Second Edition) is to introduce the reader to the fundamentals of probabilistic methods in the analysis and design of...

Scenarios and Responses to Future Deep Oil Spills: Fighting the Next War
Scenarios and Responses to Future Deep Oil Spills: Fighting the Next War
It has often been said that generals prepare for the next war by re-fighting the last.  The Deepwater Horizon (DWH) oil spill was unlike any previous – an underwater well blowout 1,500 meters deep.  Much has been learned in the wake of DWH and these lessons should in turn be applied to both similar oil spill scenarios...
Artificial Intelligence with Uncertainty
Artificial Intelligence with Uncertainty
The information deluge currently assaulting us in the 21st century is having a profound impact on our lifestyles and how we work. We must constantly separate trustworthy and required information from the massive amount of data we encounter each day. Through mathematical theories, models, and experimental computations, Artificial Intelligence with...
Environmental Foresight and Models: A Manifesto
Environmental Foresight and Models: A Manifesto

Policy-makers and the public, it has famously been said, are more interested in the possibility of non-linear dislocations and surprises in the behaviour of the environment than in smooth extrapolations of current trends. The International Task Force in Forecasting Environmental Change (1993-1998) dedicated its work to developing procedures...

Environmental Chemistry and Toxicology of Mercury
Environmental Chemistry and Toxicology of Mercury

The book that looks at mercury's impact on the planet today

Recent research by the EPA has concluded that one in six women of childbearing age have unsafe levels of mercury in their bodies, which puts 630,000 newborn babies each year at risk of neurological impairment. Mercury poses severe risks to the health of animals and...

Markov Random Field Modeling in Image Analysis (Advances in Pattern Recognition)
Markov Random Field Modeling in Image Analysis (Advances in Pattern Recognition)

Modeling problems in this book are addressed mainly from the computational viewpoint. The primary concerns are how to define an objective function for the optimal solution to a image analysis or computer vision problem and how to find the optimal solution. The solution is defined in an optimization sense because the perfect solution is...

Evolutionary Computation in Dynamic and Uncertain Environments (Studies in Computational Intelligence)
Evolutionary Computation in Dynamic and Uncertain Environments (Studies in Computational Intelligence)
This book provides a compilation on the state-of-the-art and recent advances of evolutionary algorithms in dynamic and uncertain environments within a unified framework. The motivation for this book arises from the fact that some degree of uncertainty in characterizing any realistic engineering systems is inevitable. Representative methods for...
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