This text identifies process as the central factor in plant automation and develops theory and practice to present the parameters of good dynamic performance. Approaches are presented for measurement selection, process modification, control structure design and algorithm tuning to achieve good performance over a range of operating conditions. The sequence of topics - modelling, single-loop control and tuning, enhancements, multiloop control, and design - builds the student's ability to analyze increasingly complex systems, culminating in multiloop control design. The full complement of fundamental topics is reinforced by realistic process examples, including challenging end-of-chapter problems. The accompanying workbook and software, in the MATLAB environment, enables the student to reproduce and extend the solved problems and design cases in the textbook. The simulations enable students to implement the digital implementation of most methods like model identification, PID algorithm, windup protection, cascade, feedforward, and model predictive control.
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