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Multi-Sensor Filtering Fusion with Censored Data Under a Constrained Network Environment

This book presents the up-to-date research developments and novel methodologies on multi-sensor filtering fusion (MSFF) for a class of complex systems subject to censored data under a constrained network environment. The contents of this book are divided into two parts covering centralized and distributed MSFF design methodologies. The work provides a framework of optimal centralized/distributed filter design and stability and performance analysis for the considered systems along with designed filters. Simulations presented in this book are implemented using MATLAB. Features: Includes concepts, backgrounds and models on censored data, filtering fusion and communication constraints. Reviews case studies to provide clear engineering insights into the developed fusion theories and techniques. Provides theoretic values and engineering insights of the censored data and constrained network. Discusses performance evaluation of the presented multi-sensor fusion algorithms. Explores promising research directions on future multi-sensor fusion. This book is aimed at graduate students and researchers in networked control, sensor networks, and data fusion.

Intrinsic Measures on Complex Manifolds and Holomorphic Mappings

Information Evaluation in Capital Markets

An investor who wants to invest a certain amount and to whom a lot of more or less risky alternatives arise would divide this amount among several securities. He makes this portfolio decision because of his expectations with regard to these assets which result from the information available to him. If the investor obtains additional information, then his knowledge would improve and, therefore, the portfolio decision made by him. Accordingly, he will be ready to accept certain costs related to the information procurement. The value of information indicates the maximum tolerable information costs, and its knowledge, therefore, enables - by comparing with the actual information costs - to evaluate the profitability of an information procurement. In this book, the value of information for the problem of portfolio planning is explicitly determined, namely as well for the case of fixed prices not influenced by the information activity as within the scope of a market model. These explicit results allow several conclusions, in particular about the influence of preknowledge, risk aversion, information precision and information dissemination on their value. The Bayesian decision theory is the basis for this paper. Corres pondingly, a subjective concept of probability is underlying, and the information processing and evaluation is understood in a sta tistical sense. As one might expect, the question about the correct ness of an information is not treated, although manipulating the asset prices by deliberate dis information can be observed in prac tice and is, certainly, an interesting problem.