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Nonlinear Model Predictive Control: Core Theory and Advanced Algorithmic Implementation
"Nonlinear Model Predictive Control (NMPC) is an advanced method of process control that uses a dynamic system model to predict future behavior, solving an optimal control problem online at each sampling instant while accounting for physical constraints and nonlinear system dynamics. Introduction to Nonlinear Model Predictive Control Model Predictive Control has long served as an industrial standard for multivariable constrained control, predominantly in process industries such as chemical plants and refineries. However, traditional linear MPC relies on linear approximations, which fail to capture the complex, highly coupled, and wide-ranging..."
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