Multivariate Statistical Process Control

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This new edition of Numerical Ecology with R guides readers through an applied exploration of the major methods of multivariate data analysis, as seen through the eyes of three ecologists. It provides

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This collection of historically and technically important papers follows a logical line of development from early work in mathematical control theory to studies in adaptive control processes. The book

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Dual Process Theory 2.0 provides a comprehensive overview of the new directions in which dual process research is heading. Human thinking is often characterized as an interplay between intuition and d

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This concise set of course-based notes provides the reader with the main concepts and tools needed to perform statistical analyses of experimental data, in particular in the field of high-energy physi

Optimal and Robust Scheduling for Networked Control Systems tackles the problem of integrating system components—controllers, sensors, and actuators—in a networked control system. It is common practic

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Power Electronics: Drive Technology and Motion Control explores the principles and practices of power electronics, emphasizing drive technology and motion control. The book covers the fundamentals of

Model Predictive Control (MPC), the dominant advanced control approach in industry over the past twenty-five years, is presented comprehensively in this unique book. With a simple, unified approach, and with attention to real-time implementation, it covers predictive control theory including the stability, feasibility, and robustness of MPC controllers. The theory of explicit MPC, where the nonlinear optimal feedback controller can be calculated efficiently, is presented in the context of linear systems with linear constraints, switched linear systems, and, more generally, linear hybrid systems. Drawing upon years of practical experience and using numerous examples and illustrative applications, the authors discuss the techniques required to design predictive control laws, including algorithms for polyhedral manipulations, mathematical and multiparametric programming and how to validate the theoretical properties and to implement predictive control policies. The most important algorith

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Written with a systematic approach in mind, Statistical Techniques for Transportation Engineering covers a full range of data analysis topics from introductory level (Basic probability, measures of di

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A Generalized Framework of Linear Multivariable Control proposes a number of generalized models by using the generalized inverse of matrix, while the usual linear multivariable control theory relies o

For courses in Statistical Literacy A qualitative approach teaches students how to reason using statistics Understanding the core ideas behind statistics is crucial to everyday success in the mod

DescriptionA complete toolkit for teaching, learning, and understanding the essential concepts of automatic control systems Edition after acclaimed edition, Automatic Control Systems has delivered up-

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