This book presents recently developed methodologies that utilize quantized information in system identification and explores their potential in extending control capabilities for systems with limited sensor information or networked systems. The results of these methodologies can be applied to signal processing and control design of communication and computer networks, sensor networks, mobile agents, coordinated data fusion, remote sensing, telemedicine, and other fields in which noise-corrupted quantized data need to be processed. System Identification with Quantized Observations is an excellent resource for graduate students, systems theorists, control engineers, applied mathematicians, as well as practitioners who use identification algorithms in their work.
China’s 30-year market transition and its integration into the world economy provide a unique opportunity for exploring the nature of large-scale economic and political transformation and the mechanisms underlying organizational behavior during such a transition. Management and Organizations in Transitional China explores how managers and firms cope with transition-related challenges by adapting to, manipulating, or even creating the complex institutional environment. This book examines the way transitional institutions shape individual decisions and organizational strategies, the mechanisms that promote the diffusion of innovative management practices and economic policies, and the formation and evolution of interfirm networks. Based on a comprehensive review of the studies on market transition, this book investigates how firms manage their relationship with important stakeholders in the environment. It highlights the importance of network-based strategies for institutionally less-advantaged actors (like private firms, foreign entrants, and entrepreneurs) to establish legitimacy, gain institutional support, and mobilize financial resources. Moreover, this book studies the mechanisms that facilitate the adoption of innovative management practices and economic policies in the transitional context, comparing the mainstream diffusion theories and evaluating the relative potency of the diffusion drivers. Furthermore, Management and Organizations in Transitional China provides empirical analyses using longitudinal data of alliance formation, network evolution, and the effect of both alliance formation and network evolution on firm decision-making and performance. Combining theory, data analysis, and rich contextual description to provide a comprehensive understanding of the organizational transition process, this book will appeal to scholars and practitioners in general management, organizational studies, international business, entrepreneurship, and related disciplines.
This book presents recently developed methodologies that utilize quantized information in system identification and explores their potential in extending control capabilities for systems with limited sensor information or networked systems. The results of these methodologies can be applied to signal processing and control design of communication and computer networks, sensor networks, mobile agents, coordinated data fusion, remote sensing, telemedicine, and other fields in which noise-corrupted quantized data need to be processed. System Identification with Quantized Observations is an excellent resource for graduate students, systems theorists, control engineers, applied mathematicians, as well as practitioners who use identification algorithms in their work.
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