<p><b>Apply the fundamental tools of linear control theory to model, analyze, design, and understand the behavior of dynamic production systems</b> <p>In <i>Control Theory Applications for Dynamic Production Systems: Time and Frequency Methods for Analysis and Design</i>, distinguished manufacturing engineer Dr. Neil A. Duffie delivers a comprehensive explanation of how core concepts of control theorical analysis and design can be applied to production systems. Time-based perspectives on response to turbulence are augmented by frequency-based perspectives, fostering new understanding and guiding design of decision-making. The time delays intrinsic to decision making and decision implementation in production systems are addressed throughout. <p>Readers will discover methods for calculating time response and frequency response, modeling using transfer functions, assessing stability, and design of decision making for closed-loop production systems. The author has included real-world examples emphasizing the different components of production systems and illustrating how practical results can be quickly obtained using straightforward Matlab programs (which can easily be translated to other platforms). <p>Avoiding unnecessary theoretical jargon, this book fosters an in-depth understanding of key tools of control system engineering. It offers: <ul> <li>A thorough introduction to core control theoretical concepts of analysis and design of dynamic production systems</li> <li>Comprehensive and integrated explorations of continuous-time and discrete-time models of production systems, employing transfer functions and block diagrams</li> <li>Practical discussions of time response, frequency response, fundamental dynamic behavior, closed-loop production systems, and the design of decision-making</li> <li>In-depth examples of the analysis and design of complex dynamic behavior requiring approaches such as matrices of transfer functions and modeling of multiple sampling rates</li></ul><p>Perfect for production, manufacturing, industrial, and control system engineers, <i>Control Theory Applications for Dynamic Production Systems</i> will also earn a place in the libraries of students taking advanced courses on industrial system digitalization, dynamics, and design.
