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The book provides comprehensive coverage of the major advanced control techniques that are most commonly used in the process industry. This includes tools for monitoring control system performance, on-demand and adaptive tuning techniques, model predictive control, LP optimization, data analytics for batch and continuous processes, fuzzy logic control, neural networks and advancements in PID to use with wireless measurements. Since many readers may work with an existing DCS that does not support advanced control, a chapter of the book is dedicated to tools and techniques that the authors have found useful in integrating advanced control tools into an existing control system. Also, one chapter of the book addresses how dynamic process simulations may be easily created in a DCS to support checkout and operator training on the use of advanced control.