Graduate Courses

Control

ECE 2636: FUZZY LOGIC AND INTELLIGENT CONTROL, (3 CREDITS) Fuzzy logic is a design method that can be effectively applied to problems that, because of complex, nonlinear, or ambiguous system models, cannot be easily solved using traditional analytical control techniques. This course discusses the types of applications for which fuzzy control is useful and introduces basic concepts of fuzzy set theory, fuzzy logic operations, fuzzification and de-fuzzification. Several types of fuzzy controllers are discussed, including rule-based, PI-type, supervisory, and adaptive controllers, with emphasis on issues that are important to applications. Development of hardware implementations and the role of fuzzy logic in intelligent control are considered. Prerequisites: ECE 1552 or ECE 1673 and knowledge of MATLAB or similar computer application language.

ECE 2646: LINEAR SYSTEM THEORY, (3 CREDITS) Linear spaces and operators, mathematical descriptions of linear systems, controllability and observability, irreducible realization of rational transfer-function matrices, canonical forms, state feedback and state estimators, stability. Prerequisite: ECE 1673

ECE 2654, COMPUTER CONTROL 1, (3 CREDITS) Transform domain approach to analysis and design of digital computer control systems, linear discrete dynamic systems analysis and the z-transform, discrete equivalents to continuous transfer functions, sampled data systems, design of digital control systems using transform techniques, quantization effects, sample rate selection. Prerequisite: ECE 1673

ECE 2671: OPTIMIZATION METHODS, (3 CREDITS) Analytical and computational aspects of finite dimensional optimization, unconstrained and equality constrained problems, basic descent methods, conjugate direction methods, nonlinearprogramming and the Kuhn-Tucker theorem, linear programming, dynamic programming, multicriteria optimization.

ECE 2695: SPECIAL TOPICS: CONTROL, (3 CREDITS) An MS level course in special topics of current interest in control.

ECE 3647: OPTIMAL STOCHASTIC SYSTEMS, (3 CREDITS) Deterministic system models, probability theory and static models, stochastic processes and linear dynamic system models, optimal filtering with linear system models, design and performance analysis of Kalman filters, square root filtering, applications to tracking. Prerequisites: ECE 2521, ECE 2646

ECE 3648: NONLINEAR SYSTEMS THEORY, (3 CREDITS) An introduction to the (differential) geometric approach to nonlinear control (including feedback linearization, nonlinear observers with linear error dynamics and disturbance decoupling), Lyapunov theory and variable structure control. Prerequisite: ECE 2646

ECE 3650: OPTIMAL CONTROL, (3 CREDITS) Variation calculus and optimality conditions, linear quadratic problems, the Riccati equation, Pontryagin maximum principle, time-optimal control, dynamic programming and the Hamilton-Jacobi equation, numerical methods, decentralized control, multicontroller-multiobjective systems, differential games. Prerequisite: ECE 2646

ECE 3695: ADVANCED TOPICS: CONTROL, (3 CREDITS) A Ph.D. level course in advanced topics of current interest in the area of control.

MS Concentrations

• Biomedical Engineering
• Computer Engineering
• Control
• Electronics
• Image processing/
  Computer Vision
• Signal processing/
  Communications

Courses

• Computer Engineering
• Control
• Electronics
• Image Processing/
  Computer Vision
• Power
• Signal Processing/
  Communications

Class Schedule

• Pitt Schedule of Classes
• Fall 2008 Graduate Course Offerings