Along with the growing use of 360-degree feedback in organizations today, there is much disagreement over how it should be employed: strictly to help the manager develop or also to help those who work with the manager decide such issues as pay and promotion? This publication features the insights of a group of experienced professionals on both sides of the issue. To set the stage, George P. Hollenbeck, a management psychologist and adjunct faculty member at Boston University's Graduate School of Management, discusses the popularity of 360-degree feedback today.
What is often referred to as industrial mathematics is becoming a more important focus of applied mathematics. An increased interest in undergraduate control theory courses for mathematics students is part of this trend. This is due to the fact that control theory is both quite mathematical and very important in applications." Introduction to Feedback Control" provides a rigorous introduction to input/output, controller design for linear systems to junior/senior level engineering and mathematics students. All explanations and most examples are single-input, single-output for ease of exposition. The student is assumed to have knowledge of linear ordinary differential equations and complex variables.
Automatic feedback control systems play crucial roles in many fields, including manufacturing industries, communications, naval and space systems. At its simplest, a control system represents a feedback loop in which the difference between the ideal (input) and actual (output) signals is used to modify the behaviour of the system. Control systems are in our homes, computers, cars and toys. Basic control principles can also be found in areas such as medicine, biology and economics, where feedback mechanisms are ever present. <p> <p> <i>Linear and Nonlinear Multivariable Feedback Control</i> presents a highly original, unified control theory of both linear and nonlinear multivariable (also known as multi-input multi-output (MIMO)) feedback systems as a straightforward extension of classical control theory. It shows how the classical engineering methods look in the multidimensional case and how practising engineers or researchers can apply them to the analysis and design of linear and nonlinear MIMO systems. <p> <p> This comprehensive book: <p> <ul type="disc"> <li>uses a fresh approach, bridging the gap between classical and modern, linear and nonlinear multivariable control theories; <li>includes vital nonlinear topics such as limit cycle prediction and forced oscillations analysis on the basis of the describing function method and  absolute stability analysis by means of the primary classical frequency-domain criteria (e.g. Popov, circle or parabolic criteria); <li>reinforces the main themes with practical worked examples solved by a special MATLAB-based graphical user interface, as well as with problems, questions and exercises on an accompanying website.   </ul> <p> <p> The approaches presented in <i>Linear and Nonlinear Multivariable Feedback Control</i> form an invaluable resource for graduate and undergraduate students studying multivariable feedback control as well as those studying classical or modern control theories. The book also provides a useful reference for researchers, experts and practitioners working in industry
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