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Found 6 papers, 0 papers with code
Once upon a time step: A closed-loop approach to robust MPC design
A novel perspective on the design of robust model predictive control (MPC) methods is presented, whereby closed-loop constraint satisfaction is ensured using recursive feasibility of the MPC optimization.
Dual adaptive MPC using an exact set-membership reformulation
Adaptive model predictive control (MPC) methods using set-membership identification to reduce parameter uncertainty are considered in this work.
Computationally efficient robust MPC using optimized constraint tightening
A robust model predictive control (MPC) method is presented for linear, time-invariant systems affected by bounded additive disturbances.
Scalable tube model predictive control of uncertain linear systems using ellipsoidal sets
This contrasts with most existing tube MPC strategies using polytopic sets in the state tube, which are difficult to design and whose complexity grows combinatorially with the system order.
A distributed framework for linear adaptive MPC
Adaptive model predictive control (MPC) robustly ensures safety while reducing uncertainty during operation.
Robust Adaptive Model Predictive Control of Quadrotors
To the best of our knowledge this is the first time that RAMPC has been applied in practice using a state space formulation.
