Liko longs to break any connection to his alcoholic mother, bury memories of his abusive father and discover his own identity. He is haunted by the drowning of a fellow student diver at a flooded quarry in Nevada during his diving certification test. Liko, 17 years of age, leaves his mother's trailer park in Las Vegas to spend the summer scuba diving in Hawaii with his Uncle Keahi. Liko and Keahi visit the usual tourist attractions on Oahu-the Arizona Memorial Monument, U.S.S. Bowfin Submarine Museum, the National Cemetery of the Pacific, and the Hanauma Bay Nature Reserve. Liko's visit kindles a new appreciation for his Hawaiian heritage. Keahi, a native Hawaiian, had once been a promising Hawaiian chanter and hula dancer, and a passionate promoter of his Hawaiian cultural heritage. He is now an unhappy, middle-aged bureaucrat, working as an emergency responder in the Department of Water, Wind and Sun. Lost and grieving the recent death of his boyfriend, Keahi is confused about how to deal with his young nephew who is now sharing his small apartment for the summer. Keahi, like his nephew, hopes that something will change his life for the better, but worries that it is too late.
This monograph provides the reader with a systematic treatment of robust filter design, a key issue in systems, control and signal processing, because of the fact that the inevitable presence of uncertainty in system and signal models often degrades the filtering performance and may even cause instability. The methods described are therefore not subject to the rigorous assumptions of traditional Kalman filtering. The monograph is concerned with robust filtering for various dynamical systems with parametric uncertainties and focuses on parameter-dependent approaches to filter design. Classical filtering schemes, like H2 filtering and HÂ¥ filtering, are addressed and emerging issues such as robust filtering with constraints on communication channels and signal frequency characteristics are discussed. The text features:
Â· design approaches to robust filters arranged according to varying complexity level and emphasizing robust filtering in the parameter-dependent framework for the first time;
Â· guidance on the use of special realistic phenomena or factors to describe problems more accurately and to improve filtering performance;
Â· a unified linear matrix inequality formulation of design approaches for easy and effective filter design;
Â· demonstration of the techniques of matrix decoupling technique, the generalized Kalman?Yakubovich?Popov lemma, the free weighting matrix technique and the delay modelling approach, in robust filtering;
Â· numerous easy-to-follow simulation examples, graphical and tabular illustrations to help the reader understand the filter design approaches developed; and
Â· an account of emerging issues on robust filtering for research to inspire future investigation.
Robust Filtering for Uncertain Systems will be of interest to academic researchers specializing in linear, robust and optimal control and estimation and to practitioners working in tracking and network control or signal filtering, detection and estimation. Graduate students learning control and systems theory, signal processing or applied mathematics will also find the book to be a valuable resource.
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