This open access book provides a comprehensive treatment of recent developments in kernel-based identification that are of interest to anyone engaged in learning dynamic systems from data. The reader is led step by step into understanding of a novel paradigm that leverages the power of machine learning without losing sight of the system-theoretical principles of black-box identification. The authors’ reformulation of the identification problem in the light of regularization theory not only offers new insight on classical questions, but paves the way to new and powerful algorithms for a variety of linear and nonlinear problems. Regression methods such as regularization networks and support vector machines are the basis of techniques that extend the function-estimation problem to the estimation of dynamic models. Many examples, also from real-world applications, illustrate the comparative advantages of the new nonparametric approach with respect to classic parametric prediction error methods. The challenges it addresses lie at the intersection of several disciplines so Regularized System Identification will be of interest to a variety of researchers and practitioners in the areas of control systems, machine learning, statistics, and data science. This is an open access book.
The age of exploration exposed the limits of available universal histories. Everyday interactions with cultures and societies across the globe brought to light a multiplicity of pasts which proved difficult to reconcile with an emerging sense of unity in the world. Among the first to address the questions posed by this challenge were a handful of Renaissance historians. On what basis could they narrate the history of hitherto unknown peoples? Why did the Bible and classical works say nothing about so many visible traces of ancient cultures? And how far was it possible to write histories of the world at a time of growing religious division in Europe and imperial rivalry around the world? A study of the cross-fertilization of historical writing in the sixteenth and early seventeenth centuries, The Globe on Paper reconstructs a set of imaginative accounts worked out from Mexico to the Moluccas and Peru, and from the shops of Venetian printers to the rival courts of Spain and England. The pages of this book teem with humanists, librarians, missionaries, imperial officials, as well as forgers and indigenous chroniclers. Drawing on information gathered—or said to have been gathered—from eyewitness reports, interviews with local inhabitants, ancient codices, and material evidence, their global narratives testify to an unprecedented broadening of horizons which briefly flourished before succumbing to the forces of imperial and religious reaction.
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