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Dark Data
"Data describe and represent the world. However, no matter how big they may be, data sets don't - indeed cannot - capture everything. Data are measurements - and, as such, they represent only what has been measured. They don't necessarily capture all the information that is relevant to the questions we may want to ask. If we do not take into account what may be missing/unknown in the data we have, we may find ourselves unwittingly asking questions that our data cannot actually address, come to mistaken conclusions, and make disastrous decisions. In this book, David Hand looks at the ubiquitous phenomenon of "missing data." He calls this "dark data" (making a comparison to "dark matter" - i.e...
The History of Imperial College London, 1907-2007
This is the first major history of Imperial College London. The book tells the story of a new type of institution that came into being in 1907 with the federation of three older colleges. Imperial College was founded by the state for advanced university-level training in science and technology, and for the promotion of research in support of industry throughout the British Empire. True to its name the college built a wide number of Imperial links and was an outward looking institution from the start. Today, in the post-colonial world, it retains its outward-looking stance, both in its many international research connections, and with staff and students from around the world. Connections to industry and the state remain important. The College is one of BritainOCOs premier research and teaching institutions, including now medicine alongside science and engineering. This book is an in-depth study of Imperial College; it covers both governance and academic activity within the larger context of political, economic and socio-cultural life in twentieth-century Britain."
Model Predictive Control in the Process Industry
Model Predictive Control is an important technique used in the process control industries. It has developed considerably in the last few years, because it is the most general way of posing the process control problem in the time domain. The Model Predictive Control formulation integrates optimal control, stochastic control, control of processes with dead time, multivariable control and future references. The finite control horizon makes it possible to handle constraints and non linear processes in general which are frequently found in industry. Focusing on implementation issues for Model Predictive Controllers in industry, it fills the gap between the empirical way practitioners use control algorithms and the sometimes abstractly formulated techniques developed by researchers. The text is firmly based on material from lectures given to senior undergraduate and graduate students and articles written by the authors.
Corruption in the Global Era
Corruption is a globalising phenomenon. Not only is it rapidly expanding globally but, more significantly, its causes, its means and forms of perpetration and its effects are more and more rooted in the many developments of globalisation. The Panama Papers, the FIFA scandals and the Petrobras case in Brazil are just a few examples of the rapid and alarming globalisation of corrupt practices in recent years. The lack of empirical evidence on corrupt schemes and a still imperfect dialogue between different disciplinary areas and between academic and practitioners hinder our knowledge of corruption as a global phenomenon and slow down the adoption of appropriate policy responses. Corruption in ...
Model Predictive Control
For the first time, a textbook that brings together classical predictive control with treatment of up-to-date robust and stochastic techniques. Model Predictive Control describes the development of tractable algorithms for uncertain, stochastic, constrained systems. The starting point is classical predictive control and the appropriate formulation of performance objectives and constraints to provide guarantees of closed-loop stability and performance. Moving on to robust predictive control, the text explains how similar guarantees may be obtained for cases in which the model describing the system dynamics is subject to additive disturbances and parametric uncertainties. Open- and closed-loop...
CAD for Control Systems
This comprehensive collection brings together current information on CAD for control systems including present and future trends in computer-aided design exploring the areas of modeling, simulation, simulation languages, environments, and design techniques. Presenting a systems approach to control d
Whose Health Is It, Anyway?
Whose Health Is It, Anyway? outlines why health is truly our most untapped opportunity for prosperity and happiness in the 21st century, individually and jointly as whole nations.
