Skip to main content

Ptolemy II Installation in Ubuntu 22.04

Installation of Ptolemy II in Ubuntu 22.04
This post shows the installation instructions of Ptolemy II in Windows 11 and Ubuntu 22.04 Operating System. 
Ptolemy II is used to simulate and emulate discrete systems, Synchronous dataflow, dynamic Dataflow, FSM, etc. The software is free and open source and its based on Java. 

The complete instructions can be found in this video 


Tools needed:
1. JDK is needed (preferably JDK 11, if you have already another version of JDK, no issues you can install JDK 11 as well and you can change the runtime java based on the need. For more details on how to switch the java version in Ubuntu, Check this video)

2. Ptolemy Software (can be downloaded from here

Step 1: Getting ready with your Ubuntu 22.04 OS

Run the following commands 

$ sudo apt update 
$ sudo apt install openjdk-11-jdk build-essential autoconf automake libxmu-dev

Step 2 - Extract the ptolemy software through the GUI window and set the environmental variable
Right click over the file and click "Extract Here"
Set the PTII environment as per the following commands.
Open the terminal and open the file using the command 

$ gedit ~/.bashrc
and copy the following line in the line number 4

export PTII=$HOME/ptII11.0.1.src/ptII11.0.1

Step 3: Installation of Ptolemy II 
I have installed in my home folder as per this path (/home/pradeepkumar/ptII11.0.1.src/ptII11.0.1/) 

Open a terminal and execute the following commands 

$ cd ptII11.0.1.src/ptII11.0.1/
$ ./configure --enable-verbose 
$ make 
$ cd bin 
$ ./vergil 

Once the installation over, you can open the vergil software and it shows the screenshot like this.
Ptolemy II
Ptolemy II


Then you can proceed to go to the documentation and other examples there of. For more details watch the Youtube video




Comments

Popular posts from this blog

Installing ns3 in Ubuntu 22.04 | Complete Instructions

In this post, we are going to see how to install ns-3.36.1 in Ubuntu 22.04. You can follow the video for complete details Tools used in this simulation: NS3 version ns-3.36.1  OS Used: Ubuntu 22.04 LTS Installation of NS3 (ns-3.36.1) There are some changes in the ns3 installation procedure and the dependencies. So open a terminal and issue the following commands Step 1:  Prerequisites $ sudo apt update In the following packages, all the required dependencies are taken care and you can install all these packages for the complete use of ns3. $ sudo apt install g++ python3 python3-dev pkg-config sqlite3 cmake python3-setuptools git qtbase5-dev qtchooser qt5-qmake qtbase5-dev-tools gir1.2-goocanvas-2.0 python3-gi python3-gi-cairo python3-pygraphviz gir1.2-gtk-3.0 ipython3 openmpi-bin openmpi-common openmpi-doc libopenmpi-dev autoconf cvs bzr unrar gsl-bin libgsl-dev libgslcblas0 wireshark tcpdump sqlite sqlite3 libsqlite3-dev  libxml2 libxml2-dev libc6-dev libc6-dev-i386 libc...

Installation of NS2 (ns-2.35) in Ubuntu 20.04

Installation of NS2 (ns-2.35) in Ubuntu 20.04 LTS Step 1: Install the basic libraries like      $] sudo apt install build-essential autoconf automake libxmu-dev Step 2: install gcc-4.8 and g++-4.8 open the file using sudo mode $] sudo nano /etc/apt/sources.list Include the following line deb http://in.archive.ubuntu.com/ubuntu bionic main universe $] sudo apt update $] sudo apt install gcc-4.8 g++-4.8 Step 3:  Unzip the ns2 packages to home folder $] tar zxvf ns-allinone-2.35.tar.gz $] cd ns-allinone-2.35/ns-2.35 Modify the following make files. ~ns-2.35/Makefile.in Change @CC@ to gcc-4.8 change @CXX@ to g++-4.8 ~nam-1.15/Makefile.in ~xgraph-12.2/Makefile.in ~otcl-1.14/Makefile.in Change in all places  @CC@ to gcc-4.8 @CPP@ or @CXX@ to g++-4.8 open the file: ~ns-2.35/linkstate/ls.h Change at the Line no 137  void eraseAll() { erase(baseMap::begin(), baseMap::end()); } to This void eraseAll() { this->erase(baseMap::begin(), baseMap::end()); } All changes ...

Simulation of URDF, Gazebo and Rviz | ROS Noetic Tutorial 8

Design a User-defined robot of your choice (or you can use the URDF file) and enable the LIDAR Scanner so that any obstacle placed on the path of the light scan will cut the light rays. Visualize the robot in the Gazebo workspace, and also show the demonstration in RViz.   (NB: Gain knowledge on wiring URDF file and .launch file for enabling any user-defined robot to get launched in the gazebo platform.) SLAM : One of the most popular applications of ROS is SLAM(Simultaneous Localization and Mapping). The objective of the SLAM in mobile robotics is to construct and update the map of an unexplored environment with the help of the available sensors attached to the robot which will be used for exploring. URDF: Unified Robotics Description Format, URDF, is an XML specification used in academia and industry to model multibody systems such as robotic manipulator arms for manufacturing assembly lines and animatronic robots for amusement parks. URDF is especially popular with users of the ...