In the past fifteen years a new field of research has emerged in economics: the application of control theory methods to macroeconomics and to microeconomics. The papers and books which have resulted from this research are important to the development of theoretical and applied economics. However, they are inaccessible to many with interest in economics because of the technical nature of the discussion. This book attempts to make the macro- economic portion of this literature more accessible by providing a discussion of the key issues using words and figures rather than mathematical symbols. I would like to thank my mentors and colleagues in control theory and economics for their help over the years: Masanao Aoki, Michael Athans, Yaakov Bar-Shalom, Jeremy Bray, Arthur Bryson, Gregory Chow, Ray Fair, Laurie Henrikson, David Livesey, Raman Mehra, Alfred Norman, Robert Pindyck, Franklin Shupp, John Taylor, Lance Taylor, Peter Tinsley, Edison Tse, and Stephen Turnovsky.
Revisiting Cyert and March's classic 1963 'Behavioral Theory of the Firm', Henrich Greve offers an intriguing analysis of how firms evolve in response to feedback about their own performance. Based on ideas from organizational theory, social psychology, and economics, he explains how managers set goals, evaluate performance, and determine strategic changes. Drawing on a range of studies, including the author's own analysis of the Japanese shipbuilding industry, he reports on how theory fits evidence on organizational change of risk-taking, research and development expenses, innovativeness, investment in assets, and in market strategy. The findings suggest that high-performing organizations quickly reduce their rates of change, but low-performing organizations only slowly increase those rates. Analysis of performance feedback is an important direction for research and this book provides valuable insights in how organizational learning interacts with other influences on organizational behaviour such as competitive rivalry and institutional influences.
Unmanned air vehicles are becoming increasingly popular alternatives for private applications which include, but are not limited to, fire fighting, search and rescue, atmospheric data collection, and crop surveys, to name a few. Among these vehicles are avian-inspired, flapping-wing designs, which are safe to operate near humans and are required to carry payloads while achieving manoeuverability and agility in low speed flight. Conventional methods and tools fall short of achieving the desired performance metrics and requirements of such craft. Flight dynamics and system identification for modern feedback control provides an in-depth study of the difficulties associated with achieving controlled performance in flapping-wing, avian-inspired flight, and a new model paradigm is derived using analytical and experimental methods, with which a controls designer may then apply familiar tools. This title consists of eight chapters and covers flapping-wing aircraft and flight dynamics, before looking at nonlinear, multibody modelling as well as flight testing and instrumentation. Later chapters examine system identification from flight test data, feedback control and linearization.
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