Video and Webinar Series

How a Differential Equation Becomes a Robot

This six-part webinar series will examine how a simple second-order differential equation can evolve into a complex dynamic model of a multiple-degrees-of-freedom robotic manipulator that includes the controls, electronics, and three-dimensional mechanics of the complete system. The system is developed using the single, integrated environment provided by the MATLAB® and Simulink® product families.

Highlights of the series include:

  • Creating equations of motion using the MuPAD® interface in Symbolic Math Toolbox
  • Modeling complex electromechanical systems using Simulink and the physical modeling libraries
  • Importing three-dimensional mechanisms directly from CAD packages using the SimMechanics translator
  • Design, tune, and optimize controllers directly in your Simulink model using Control System Toolbox and Optimization Toolbox
  • Prototyping and testing your real-time system directly in hardware with xPC Target

    Overview In this webinar we will show how the suite of MathWorks tools complement and enhance each other, and how when combining them together, the user can unleash the full potential of our complete development environment. The demonstration example will exa

    Part 1: Rigid Body Dynamics In Part 1 of this five-part webinar series we show how to model three-dimensional mechanical systems. We start by showing how to develop symbolic expressions and equations of motion, and how to build dynamic models that can be used for numeric simula

    Part 2: Actuators and Sensors In Part 2 of this five-part webinar series we explain how to model diverse electrical and electronic circuits using first principle mathematics as well as electrical components from our advanced physical modeling libraries.  We also show how to valid

    Part 3: Control Systems In Part 3 of this five-part webinar series we focus on how to design controllers for electro-mechanical systems. We show how to linearize your plant and automatically tune PID gains, as well as how to optimize multiple controller gains and the overal

    Part 4: Forward and Inverse Kinematics In Part 4 of this five-part webinar series we perform basic kinematic analysis. We show how to bring results of symbolic studies into the Simulink environment. We also show general optimization techniques, automatic report generation and how to creat

    Part 5: Hardware Prototyping In Part 5 of this five-part webinar series we show how to automatically generate C-code from your Simulink models, and how to interface with real-time hardware and perform typical rapid prototyping tasks. View the full webinar series here: http://www