Advanced techniques in stochastic analysis with emphasis on stochastic
dynamics, nonlinear filtering and detection, stochastic control and
stochastic optimization and simulation methods.
Fundamental issues associated with autonomous robot control. Emphasizes biological perspective that forms the basis of many current developments in robotics.
Classical analysis techniques and stability theory for nonlinear systems.
Control design for nonlinear systems, including robotic systems. Design
projects.
Methods of parameter estimation and adaptive control for systems with
constant or slowly-varying unknown parameters. MATLAB design projects
emphasizing applications to physical systems.
Introduction to linear system theory and feedback control. Topics include
state space representation, controllability and observability, linear
feedback control.
Advanced Computer Vision & Image Processing using PDEs and Active Contours
Algorithms for computer vision and image processing, emphasizing partial-differential equation and active contour methods. Topics include image smoothing and enhancement, edge detection, morphology, and image reconstruction.
Principles of neural networks and fuzzy systems; the MATLAB Neural Network
and Fuzzy Logic Toolboxes; examples from system identification,
classification and control; laboratory experience.
Students are introduced to industrial controls and the fundamentals of
manufacturing with hands-on experience based on lab projects using
industry software and hardware for communications and control.
Crosslisted with TFE 4761.
Using computer algorithms for solving electrical engineering problems arising in
various application domains. Development of effective algorithms and their
implementation by object-oriented code.
Introduction to real-time computing, distributed computing, and software engineering in control systems. The particular requirements of control systems will be presented.
Principles of intelligent systems and their utility in modeling,
identification and control of complex systems; neuro-fuzzy tools applied
to supervisory control; hands-on laboratory experience.