With the uprise of multi-touch table systems, more and more applications which have to deal with multi-touch input, sometimes even multi-user input, are being developed. The development of such applications often introduces the use of frameworks designed to deal with multi-touch input from a specific type of multi-touch table. In cases where no frameworks are available for a specific kind of mu...

This article deals with the issues associated with developing a new design methodology for the nonlinear model-predictive control (MPC) of a chemical plant. A combination of multiple neural networks is selected and used to model a nonlinear multi-input multi-output (MIMO) process with time delays.  An optimization procedure for a neural MPC algorithm based on this model is then developed. T...

This paper deals with leader-following and leaderless consensus problems of high-order multi-input/multi-output (MIMO) multi-agent systems with unknown nonlinear dynamics in the presence of uncertain external disturbances. The agents may have different dynamics and communicate together under a directed graph. A distributed adaptive method is designed for both cases. The structures of the contro...