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The Divine Physician's Overbearing Wife Ⅰ 1-500 Chapter
Feng Ruqing was a spoiled princess with a hideous countenance in Liu Yun Kingdom. She used to ride roughshod over anyone who stood in her way, backed by her father the emperor who loved her with all his heart. Not only did she force the chancellor’s son to marry her by breaking the existing loving couple up, but her mother-in-law had also pa.s.sed out from rage because of her. In the end, she took her own life after the heartbreak and humiliation of being dumped. When she opened her eyes again, she was no longer the bratty princess who was a good-for-nothing.
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...
The Divine Physician's Overbearing Wife Ⅲ 1001-1500 Chapter
Feng Ruqing was a spoiled princess with a hideous countenance in Liu Yun Kingdom. She used to ride roughshod over anyone who stood in her way, backed by her father the emperor who loved her with all his heart. Not only did she force the chancellor’s son to marry her by breaking the existing loving couple up, but her mother-in-law had also pa.s.sed out from rage because of her. In the end, she took her own life after the heartbreak and humiliation of being dumped. When she opened her eyes again, she was no longer the bratty princess who was a good-for-nothing.
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...
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...
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.
Performance Evaluation, Prediction and Visualization of Parallel Systems
Performance Evaluation, Prediction and Visualization in Parallel Systems presents a comprehensive and systematic discussion of theoretics, methods, techniques and tools for performance evaluation, prediction and visualization of parallel systems. Chapter 1 gives a short overview of performance degradation of parallel systems, and presents a general discussion on the importance of performance evaluation, prediction and visualization of parallel systems. Chapter 2 analyzes and defines several kinds of serial and parallel runtime, points out some of the weaknesses of parallel speedup metrics, and discusses how to improve and generalize them. Chapter 3 describes formal definitions of scalability...
Intelligent Building Systems
Intelligent building is the future of our building industry; all commercial, residential, industrial and institutional buildings will be designed towards the goal of `intelligent buildings'. The most important aspect of an intelligent building is the building systems, such as electrical services, heating, ventilation and air-conditioning systems, vertical transportation systems, and life safety systems, which must operate intelligently and efficiently to enhance the activities of the occupants. Intelligent Building Systems explains what already exists in a modern intelligent building and describes what is currently being developed by researchers to improve human comfort, working efficiency a...
