Advanced Dynamics, Modeling and Analysis

3 credits · Graduate

Modeling and analysis of dynamical systems. This class will cover reference frames and coordinate systems, kinematics and constraints, mass distribution, virtual work, D'Alembert's principle, Lagrange, and Hamiltonian equations of motion. We will then consider select topics in controls and machine learning that utilize dynamics concepts. Students will learn and apply these concepts through homework and projects involving dynamic systems simulation. Prerequisites: ENGR15, CME 104, ENGR 154 or equivalent, Recommended: Linear Algebra ( EE 263, Math 113, CME 302 or equivalent), Partial Differential Equations ( Math 131P or equivalent).