Transformational approaches to generating design and implementation models from requirements can bring effectiveness and quality to software development. In this paper we present a...
Jian Yu, Yanbo Han, Jun Han, Yan Jin, Paolo Falcar...
This paper proposes a quadratic programming (QP) approach to robust model predictive control (MPC) for constrained linear systems having both model uncertainties and bounded distu...
— In this paper the development of mathematical model of voltage-input and current-input active magnetic bearing (AMB) system in deterministic form is presented. The AMB system, ...
Abdul Rashid Husain, Mohamad Noh Ahmad, Abdul Hali...
We describe how to model the appearance of a 3-D object using multiple views, learn such a model from training images, and use the model for object recognition. The model uses pro...
We propose a novel probabilistic framework for learning
visual models of 3D object categories by combining appearance
information and geometric constraints. Objects are
represen...