Many model predictive control (MPC) schemes suffer from high computational complexity. Especially robust MPC schemes, which explicitly account for the effects of disturbances, can ...
Frauke Oldewurtel, Ravi Gondhalekar, Colin Neil Jo...
An important challenge in constraint programming is to rewrite constraint models into executable programs calculating the solutions. This phase of constraint processing may requir...
Density estimation with Gaussian Mixture Models is a popular generative technique used also for clustering. We develop a framework to incorporate side information in the form of e...
The vehicle routing problem (VRP) is a variant of the familiar travelling salesperson problem (TSP). In the VRP we are to perform a number of visits, using a number of vehicles of ...
:- A novel constraint-based fuzzy modeling approach is proposed. Features of the proposed model are enumerated as below. 1)The knowledge base of a constraint-based fuzzy model can ...