Emmental-type GKLS-based multiextremal smooth test problems with non-linear constraints. In this paper, multidimensional test problems for methods solving constrained Lipschitz global optimization problems are proposed. A new class of GKLS-based multidimensional test problems with continuously differentiable multiextremal objective functions and non-linear constraints is described. In these constrained problems, the global minimizer does not coincide with the global minimizer of the respective unconstrained test problem, and is always located on the boundaries of the admissible region. Two types of constraints are introduced. The possibility to choose the difficulty of the admissible region is available.