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Enforce Constraints for PID Controllers

Learn how to apply a known constraint function to a PID control application using the Constraint Enforcement block. This block uses a quadratic programming (QP) solver to solve a real-time optimization problem to find a control input that satisfies critical constraints on plant states. You can apply this block to any control loop, especially with control strategies where it’s not possible to specify critical constraints, such as reinforcement learning.

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