Easily editable files to simulate three MIMO predictive control algorithms.
These files are intended as a support to this book to enable students to investigate predictive control algorithms from the formulation of the
prediction equations right through to the closed-loop simulation.
A one-dimensional calibration object consists of three or more collinear points with known relative positions.
It is generally believed that a camera can be calibrated only when a 1D calibration object is in planar motion or rotates
around a ¯ xed point. In this paper, it is proved that when a multi-camera is observing a 1D object undergoing general
rigid motions synchronously, the camera set can be linearly calibrated. A linear algorithm for the camera set calibration
is proposed，and then the linear estimation is further re¯ ned using the maximum likelihood criteria. The simulated and
real image experiments show that the proposed algorithm is valid and robust.
This Source.zip has three application code folders containing .java and .class files and two .jar files as follows:
1. desktop-side_JXTA4JMS
2. mobile-side_JXTA4JMS
3. JMS Test Client
4. Listener.jar
5. JMSTestClient.jar
We now explain execution steps, we followed, to run this JXTA4JMS application.
Before we try we require Application softwares and need to configure JXTA relay and J2EE server.
