Matthew Ellis – författare

Until recently policy makers and health professionals in developing countries have neglected newborn care, even though 70% of infant deaths occur during the first month of life. The principles of essential newborn care are simple: resuscitation, warmth to avoid hypothermia, early breast-feeding, hygiene, support for the mother-infant relationship, and early treatment for low birth weight or sick infants. Putting these principles into practice does not require expensive high technology equipment.This important book has been written by experts in newborn care, mostly from developing countries in south Asia. It contains a review of the current health status of mothers and newborn infants in the developing world, the evidence base for cost-effective essential and preventive neonatal interventions in poor communities, ideas for improving service delivery, and the priorities for future action and research.

This book presents general methods for the design of economic model predictive control (EMPC) systems for broad classes of nonlinear systems that address key theoretical and practical considerations including recursive feasibility, closed-loop stability, closed-loop performance, and computational efficiency.  Specifically, the book proposes:Lyapunov-based EMPC methods for nonlinear systems;two-tier EMPC architectures that are highly computationally efficient; andEMPC schemes handling explicitly uncertainty, time-varying cost functions, time-delays and multiple-time-scale dynamics.The proposed methods employ a variety of tools ranging from nonlinear systems analysis, through Lyapunov-based control techniques to nonlinear dynamic optimization. The applicability and performance of the proposed methods are demonstrated through a number of chemical process examples.The book presents state-of-the-art methods for the design of economic model predictive control systems for chemical processes.In addition to being mathematically rigorous, these methods accommodate key practical issues, for example, direct optimization of process economics, time-varying economic cost functions and computational efficiency. Numerous comments and remarks providing fundamental understanding of the merging of process economics and feedback control into a single framework are included. A control engineer can easily tailor the many detailed examples of industrial relevance given within the text to a specific application.The authors present a rich collection of new research topics and references to significant recent work making Economic Model Predictive Control an important source of information and inspiration for academics and graduate students researching the area and for process engineers interested in applying its ideas.