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...
Most algorithms for solving Markov decision processes rely on a discount factor, which ensures their convergence. It is generally assumed that using an artificially low discount f...
Abstract With the rapid advances in mobile computing technology, there is an increasing demand for processing realtime transactions in a mobile environment. This paper studies con...
Kam-yiu Lam, Tei-Wei Kuo, Wai-Hung Tsang, Gary C. ...
If current process management systems shall be applied to a broad spectrum of applications, they will have to be significantly improved with respect to their technological capabili...
Peter Dadam, Manfred Reichert, Stefanie Rinderle, ...
Missing data techniques have been recently applied to speaker recognition to increase performance in noisy environments. The drawback of these techniques is the vulnerability of t...