Code, Data and Results for Numerical Experiments in "Deep polytopic autoencoders for low-dimensional linear parameter-varying approximations and nonlinear feedback design"

This archive contains the companion codes, used data and computed results for the paper:

• J. Heiland, Y. Kim, S. W. R. Werner; "Deep polytopic autoencoders for low-dimensional linear parameter-varying approximations and nonlinear feedback design",

which implement numerical experiments illustrating the construction of state-feedback controllers using low-complexity parameter-varying approximations, polytopic autoencoders and state-dependent Riccati equations.