Nonsmooth Modeling and Simulation for Switched Circuits concerns the modeling and the numerical simulation of switched circuits with the nonsmooth dynamical systems (NSDS) approach, using piecewise-linear and multivalued models of electronic devices like diodes, transistors, switches. Numerous examples (ranging from introductory academic circuits to various types of power converters) are analyzed and many simulation results obtained with the INRIA open-source SICONOS software package are presented. Comparisons with SPICE and hybrid methods demonstrate the power of the NSDS approach. Nonsmooth Modeling and Simulation for Switched Circuits is intended to researchers and engineers in the field of circuits simulation and design, but may also attract applied mathematicians interested by the numerical analysis for nonsmooth dynamical systems, as well as researchers from Systems and Control.
The study of ecological systems is often impeded by components that escape perfect observation, such as the trajectories of moving animals or the status of plant seed banks. These hidden components can be efficiently handled with statistical modeling by using hidden variables, which are often called latent variables. Notably, the hidden variables framework enables us to model an underlying interaction structure between variables (including random effects in regression models) and perform data clustering, which are useful tools in the analysis of ecological data. This book provides an introduction to hidden variables in ecology, through recent works on statistical modeling as well as on estimation in models with latent variables. All models are illustrated with ecological examples involving different types of latent variables at different scales of organization, from individuals to ecosystems. Readers have access to the data and R codes to facilitate understanding of the model and to adapt inference tools to their own data.
3-System Theory of the Cognitive Brain: A Post-Piagetian Approach to Cognitive Development puts forward Olivier Houdé’s 3-System theory of the cognitive brain, based on numerous post-Piagetian psychological and brain imaging data acquired from children and adults. This ground-breaking theory simultaneously anchors itself in a deep understanding of the history of psychology and fuels current debates on thinking, reasoning and cognitive development. Spanning the long-term history of psychology, from Plato and Aristotle to more current experimental psychology, this pioneering work goes beyond the approaches of Kahneman (i.e. System 1 theory) and Piaget (i.e. System 2 theory) to put forward a theory in which the inhibitory-control system (i.e. System 3) takes precedence. Houdé argues that the brain contains a third control system located in the prefrontal cortex which is dedicated to inhibiting Kahneman’s intuitive heuristics system and activating Piaget’s logical algorithms system anywhere in the brain on a case-by-case basis, depending on the goal and context of the task. 3-System Theory of the Cognitive Brain simultaneously explains the early logical abilities discovered in babies, the dynamic, strategic and non-linear process of cognitive development in children, and the fast heuristics and biases observed in adults. Houdé considers the exciting implications of this theory on neuro-education using examples from the classroom. This book is essential reading for students and researchers in cognitive development and education, child psychology, reasoning and neurosciences.
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