Estimation, Learning, and Controls
in reverse order of recommended learning
Robotics and control in 3D
Optimization and controls
Adaptive all-stabilizing control
Iterative learning control
Model reference adaptive control
Learning and controls under constrained information feedback
Adaptation over unsteady dynamics
From stability to performance and robustness, elevated to new dimensions.
System Identification and Adaptive Controls
Discretization, nonlinear systems, passivity, optimization and gradient methods, adaptation and learning from data.
Essentials of Control Parameterization
Loop shaping and all the stabilizing controls.
Optimal Estimation and Controls
Least squares, Dynamic Programming, Kalman filter, Linear Quadratic controls, Linear Quadratic Gaussian Controls, etc. UW ME 549 or equivalent, plus a few extensions.
Introduction to Modern Controls (UW ME 547)
First course on modern control engineering covering state-space modeling and system analysis. UW ME 547 or equivalent.
Engineering Analysis (Math Foundations)
Mathematic tools central for solving practical engineering problems: Linear Algebra, Ordinary Differential Equations, Real Analysis, etc. UW 564 or equivalent.
Introduction to Feedback Systems
An introduction to feedback systems for scientists and engineers.
Building, Making, and Manufacturing
Robotics, vision, and mechatronics for manufacturing
Robotics and control in 3D, kinematics, robotic manipulators, manufacturing, vision-based controls, and physics of imaging.
Mechatronics and 3D Printing - Learn by Building
Explore mechatronics in 3d printing systems: the modern synthesis of mechanical and electrical components, materials, and thermodynamics. Design and print functional parts on a final demo day.