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Identification and Stochastic Adaptive Control
Identifying the input-output relationship of a system or discovering the evolutionary law of a signal on the basis of observation data, and applying the constructed mathematical model to predicting, controlling or extracting other useful information constitute a problem that has been drawing a lot of attention from engineering and gaining more and more importance in econo metrics, biology, environmental science and other related areas. Over the last 30-odd years, research on this problem has rapidly developed in various areas under different terms, such as time series analysis, signal processing and system identification. Since the randomness almost always exists in real systems and in obser...
Stochastic Approximation and Its Applications
Estimating unknown parameters based on observation data conta- ing information about the parameters is ubiquitous in diverse areas of both theory and application. For example, in system identification the unknown system coefficients are estimated on the basis of input-output data of the control system; in adaptive control systems the adaptive control gain should be defined based on observation data in such a way that the gain asymptotically tends to the optimal one; in blind ch- nel identification the channel coefficients are estimated using the output data obtained at the receiver; in signal processing the optimal weighting matrix is estimated on the basis of observations; in pattern classi...
Nonlinear Control Systems and Power System Dynamics
Nonlinear Control Systems and Power System Dynamics presents a comprehensive description of nonlinear control of electric power systems using nonlinear control theory, which is developed by the differential geometric approach and nonlinear robust control method. This book explains in detail the concepts, theorems and algorithms in nonlinear control theory, illustrated by step-by-step examples. In addition, all the mathematical formulation involved in deriving the nonlinear control laws of power systems are sufficiently presented. Considerations and cautions involved in applying nonlinear control theory to practical engineering control designs are discussed and special attention is given to the implementation of nonlinear control laws using microprocessors. Nonlinear Control Systems and Power System Dynamics serves as a text for advanced level courses and is an excellent reference for engineers and researchers who are interested in the application of modern nonlinear control theory to practical engineering control designs.
Recursive Identification and Parameter Estimation
Recursive Identification and Parameter Estimation describes a recursive approach to solving system identification and parameter estimation problems arising from diverse areas. Supplying rigorous theoretical analysis, it presents the material and proposed algorithms in a manner that makes it easy to understand—providing readers with the modeling and identification skills required for successful theoretical research and effective application. The book begins by introducing the basic concepts of probability theory, including martingales, martingale difference sequences, Markov chains, mixing processes, and stationary processes. Next, it discusses the root-seeking problem for functions, starti...
Negotiating A Chinese Federation
This book offers the first comprehensive study of the ways in which China’s men of guns (so-called “warlords”) and men of letters (May Fourth intellectuals) engaged one another for the making of a Chinese federation between 1919 and 1923.
Enterprise Inter- and Intra-Organizational Integration
The international initiative on Enterprise Inter- and Intra-Organisational Integration (EI3-IC) had the objective to increase both international consen sus (IC) and public awareness on enterprise integration. In these proceedings we intend to present the current status in inter- and intra-organisational inte gration for electronic commerce and thereby to further increase awareness and consensus within academia and industry about enterprise inter-and intra organisational integration. The conference proceedings contain the papers presented at the ICEIMT conference in Valencia, Spain, selected papers presented at the different workshops and three papers on the initiative itself: overview, histo...
Collaborative Business Ecosystems and Virtual Enterprises
Towards collaborative business ecosystems Last decade was fertile in the emerging of new collaboration mechanisms and forms of dynamic virtual organizations, leading to the concept of dynamic business ecosystem, which is supported (or induced ?) by the progress of the ubiquitous I pervasive computing and networking. The new technologies, collaborative business models, and organizational forms supported by networking tools "invade" all traditional businesses and organizations what requires thinking in terms of whole systems, i. e. seeing each business as part of a wider economic ecosystem and environment. It is also becoming evident that the agile formation of very dynamic virtual organizatio...
