I’ve been examining ways to enhance the stability of control systems in our recent automation projects. One approach we’ve started using is model predictive control to better anticipate system behaviors. Has anyone else had success with this technique or other strategies to improve resilience in automated processes?
Model predictive control sounds like a solid approach! I’ve found that adding a layer of fault detection can really help, almost like having a seatbelt in a car — you never know when you might need it… Have you thought about combining that with adaptive control for even more resilience?
That’s interesting! We’ve noticed that combining model predictive control with adaptive tuning has really improved our system’s responsiveness. Have you tried any tuning techniques?