12 citations · 36 across the 8 of their papers we have counts for
4 papers · 1 filter
KPC: Learning-Based Model Predictive Control with Deterministic Guarantees
Emilio T. Maddalena, Paul Scharnhorst, Yuning Jiang +1
We propose Kernel Predictive Control (KPC), a learning-based predictive control strategy that enjoys deterministic guarantees of safety. Noise-corrupted samples of the unknown syst…
On the Optimality and Convergence Properties of the Iterative Learning Model Predictive Controller
Ugo Rosolia, Yingzhao Lian, Emilio T. Maddalena +2
In this technical note we analyse the performance improvement and optimality properties of the Learning Model Predictive Control (LMPC) strategy for linear deterministic systems. T…
Deterministic error bounds for kernel-based learning techniques under bounded noise
Emilio T. Maddalena, Paul Scharnhorst, Colin N. Jones
We consider the problem of reconstructing a function from a finite set of noise-corrupted samples. Two kernel algorithms are analyzed, namely kernel ridge regression and $\varepsil…
NSM Converges to a k-NN Regressor Under Loose Lipschitz Estimates
Emilio T. Maddalena, Colin N. Jones
Although it is known that having accurate Lipschitz estimates is essential for certain models to deliver good predictive performance, refining this constant in practice can be a di…