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Environment Learning for Indoor Mobile Robots: A Stochastic State Estimation Approach to Simultaneous Localization and Map Building
Environment Learning for Indoor Mobile Robots: A Stochastic State Estimation Approach to Simultaneous Localization and Map Building
This monograph covers theoretical aspects of simultaneous localization and map building for mobile robots, such as estimation stability, nonlinear models for the propagation of uncertainties, temporal landmark compatibility, as well as issues pertaining the coupling of control and SLAM. One of the most relevant topics covered in this monograph is...
Coping with Uncertainty: Modeling and Policy Issues
Coping with Uncertainty: Modeling and Policy Issues
Uncertainties and risks have always been, and will remain, present; both in everybody’s life and in policy making. This presence is not always recognized because humans tend to perceive the world in a deterministic way, and in most cases succeed in somehow dealing with uncertainties. However, ignoring uncertainties often results in serious...
Sliding Mode Control and Observation (Control Engineering)
Sliding Mode Control and Observation (Control Engineering)

The sliding mode control methodology has proven effective in dealing with complex dynamical systems affected by disturbances, uncertainties and unmodeled dynamics. Robust control technology based on this methodology has been applied to many real-world problems, especially in the areas of aerospace control, electric power systems,...

Risk Analysis: Assessing Uncertainties Beyond Expected Values and Probabilities
Risk Analysis: Assessing Uncertainties Beyond Expected Values and Probabilities

Everyday we face decisions that carry an element of risk and uncertainty. The ability to analyze, predict, and prepare for the level of risk entailed by these decisions is, therefore, one of the most constant and vital skills needed for analysts, scientists and managers.

Risk analysis can be defined as a systematic use of...

Fuzzy Systems in Bioinformatics and Computational Biology (Studies in Fuzziness and Soft Computing)
Fuzzy Systems in Bioinformatics and Computational Biology (Studies in Fuzziness and Soft Computing)
Biological systems are inherently stochastic and uncertain. Thus, research in bioinformatics, biomedical engineering and computational biology has to deal with a large amount of uncertainties.

Fuzzy logic has shown to be a powerful tool in capturing different uncertainties in engineering systems. In recent years, fuzzy logic based modeling and...

Fault-tolerant Flight Control and Guidance Systems: Practical Methods for Small Unmanned Aerial Vehicles (Advances in Industrial Control)
Fault-tolerant Flight Control and Guidance Systems: Practical Methods for Small Unmanned Aerial Vehicles (Advances in Industrial Control)
Unmanned aerial vehicles (UAVs) offer an incomparable means of gathering intelligence and carrying out missions without needing an onboard human pilot. The benefits are considerable in terms of cost, efficiency, and reduced pilot risk.

In order to complete a mission efficiently and with a high level of safety and security, the following key...

Better Business Decisions from Data: Statistical Analysis for Professional Success
Better Business Decisions from Data: Statistical Analysis for Professional Success

Everyone encounters statistics on a daily basis. They are used in proposals, reports, requests, and advertisements, among others, to support assertions, opinions, and theories. Unless you’re a trained statistician, it can be bewildering. What are the numbers really saying or not saying? Better Business Decisions from Data:...

Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses
Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

When compared to classical sciences such as math, with roots in prehistory, and physics, with roots in antiquity, geographical information science (GISci) is the new kid on the block. Its theoretical foundations are therefore still developing and data quality and uncertainty modeling for spatial data and spatial analysis is an important...

Computational Intelligence in Medical Imaging: Techniques and Applications
Computational Intelligence in Medical Imaging: Techniques and Applications

CI Techniques & Algorithms for a Variety of Medical Imaging Situations

Documents recent advances and stimulates further research

A compilation of the latest trends in the field, Computational Intelligence in Medical Imaging: Techniques and Applications explores how intelligent...

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...

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