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Includes entries for maps and atlases.
During the past decade model predictive control (MPC), also referred to as receding horizon control or moving horizon control, has become the preferred control strategy for quite a number of industrial processes. There have been many significant advances in this area over the past years, one of the most important ones being its extension to nonlinear systems. This book gives an up-to-date assessment of the current state of the art in the new field of nonlinear model predictive control (NMPC). The main topic areas that appear to be of central importance for NMPC are covered, namely receding horizon control theory, modeling for NMPC, computational aspects of on-line optimization and applicatio...
Language is crucial in child development. Therefore, general questions such as what are the possible challenges in language acquisition or such as how well the/my child is doing, are commonly present for researchers, clinicians, teachers, and parents. Parent-child interaction offers a privileged setting to observe children’s behavior in multiple communicative situations, which often is only available to the parents/caregivers. For this reason, within the broad range of methods used to assess children’s development, parental questionnaires are widely used being a non-invasive and inexpensive instrument to obtain information which is otherwise difficult to obtain. Data obtained with the many questionnaires covering various aspects of child development and communicative competence are equally relevant for basic research and everyday clinical practice. Development and use of parental questionnaires as well as data interpretation frequently require an interdisciplinary and cross-sector approach, bringing together developmental psychologists and practitioners. This interdisciplinarity is assumed but rarely addressed directly.
Provides articles covering children's literature from around the world as well as biographical and critical reviews of authors including Avi, C.S. Lewis, J.K. Rowling, and Anno Mitsumasa.
First multi-year cumulation covers six years: 1965-70.
Thepastthree decadeshaveseenrapiddevelopmentin the areaofmodelpred- tive control with respect to both theoretical and application aspects. Over these 30 years, model predictive control for linear systems has been widely applied, especially in the area of process control. However, today’s applications often require driving the process over a wide region and close to the boundaries of - erability, while satisfying constraints and achieving near-optimal performance. Consequently, the application of linear control methods does not always lead to satisfactory performance, and here nonlinear methods must be employed. This is one of the reasons why nonlinear model predictive control (NMPC) has - joyed signi?cant attention over the past years,with a number of recent advances on both the theoretical and application frontier. Additionally, the widespread availability and steadily increasing power of today’s computers, as well as the development of specially tailored numerical solution methods for NMPC, bring thepracticalapplicabilityofNMPCwithinreachevenforveryfastsystems.This has led to a series of new, exciting developments, along with new challenges in the area of NMPC.