Nonlinear model predictive control (MPC) of a simulated chaotic cutting process is presented. The nonlinear MPC combines a neural-network model and a genetic-algorithm-based optim...
In this paper, we review the paradigm of inductive process modeling, which uses background knowledge about possible component processes to construct quantitative models of dynamic...
Will Bridewell, Narges Bani Asadi, Pat Langley, Lj...
Abstract. Due to the complexity and uncertainties, the engineering process requires dynamic collaborations among the heterogeneous systems and human interactions. In this paper, we...
Jian Cao, Jie Wang, Shen-sheng Zhang, Minglu Li, K...
This paper reports on applying the ODP enterprise viewpoint in the domain of tele-education. The work is conducted as part of a research activity1 that aims at designing a tele-ed...
Cees Volman, Val Jones, Marten van Sinderen, Ing W...
Learning in real-time applications, e.g., online approximation of the inverse dynamics model for model-based robot control, requires fast online regression techniques. Inspired by...