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Data-Driven Science and Engineering
A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.
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Feedback Systems
This book provides an introduction to the mathematics needed to model, analyze, and design feedback systems. It is an ideal textbook for undergraduate and graduate students, and is indispensable for researchers seeking a self-contained reference on control theory. Unlike most books on the subject, Feedback Systems develops transfer functions through the exponential response of a system, and is accessible across a range of disciplines that utilize feedback in physical, biological, information, and economic systems. Karl Åström and Richard Murray use techniques from physics, computer science.
Nonlinear System Identification
Nonlinear System Identification: NARMAX Methods in the Time, Frequency, and Spatio-Temporal Domains describes a comprehensive framework for the identification and analysis of nonlinear dynamic systems in the time, frequency, and spatio-temporal domains. This book is written with an emphasis on making the algorithms accessible so that they can be applied and used in practice. Includes coverage of: The NARMAX (nonlinear autoregressive moving average with exogenous inputs) model The orthogonal least squares algorithm that allows models to be built term by term where the error reduction ratio reveals the percentage contribution of each model term Statistical and qualitative model validation meth...
Criminology Theory
This highly acclaimed criminology text presents an up-to-date review of rational choice theories, including deterrence, shaming, and routine activities. It also incorporates current examples of deterrence research regarding domestic violence, drunk driving, and capital punishment, and features thought-provoking discussion of the relativity of crime. The authors explore the crime problem, its context, and causes of crime. The organization of the text reflects the fact that the etiology of crime must be at the heart of criminology. It examines contemporary efforts to redefine crime by focusing on family violence, hate crimes, white-collar misconduct with violent consequences, and other forms of human behavior often neglected by criminologists. Extensive discussion of evolving laws is included, and while the prevalence of the scientific method in the field of criminology is highlighted, the impact of ideology on explanations of crime is the cornerstone of the book.
