Topic: "dc-decomposition"
martindoff/DC-NN-MPC
Computationally tractable learning-based nonlinear tube MPC using difference of convex neural network dynamic approximation
Language: Python - Size: 1.46 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 0
martindoff/DC-Deep-Neural-Network
Learn dynamical systems as a difference of convex functions (DC) using a feedforward Neural Network (NN) architecture with DC structure. The resulting model learns the dynamics f in DC form as follows: f= f1 -f2 where f1 and f2 are convex functions. The DC structure of the network allows to independently express f1 and f2 as two input convex NN.
Language: Python - Size: 371 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0