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What is Constrained Model Predictive Control: Stability and Optimality about?

This survey paper focuses on model predictive control (MPC) of constrained systems. MPC is a form of control where the current control action is obtained by solving an open-loop optimal control problem online using the current state as the initial state. The optimization yields an optimal control sequence, and the first control is applied. MPC can handle constraints on controls and states, making it useful for processes where operating points are near constraint boundaries. The paper discusses stability and

Author

BRIDGET AUH

Language

EN