A Model Predictive Control (MPC) Tutorial that any control engineer needs
Model Predictive Control (MPC) is a widely used control strategy that solves an optimization problem at each time step to determine the control inputs that minimize a given cost function. This method is particularly powerful when dealing with systems that must operate within certain constraints. In this video , we present an MPC implementation for a discrete-time linear system, with a focus on the detailed construction of both inequality and equality constraints. Here is a detailed example with Matlab implementation #artficialintelligence

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