ELECTRICAL ENGINEERING / 147

Mealy models of finite-state machines, transition tables, diagrams and matrices.
Equivalence, state and machine identification experiments.
EE 663-INTRODUCTION TO AUTOMATA THEORY. 3 credits
 Prerequisite: EE 662. Introduction to Turing machines, computability, and formal
languages.
EE 664-PATTERN RECOGNITION THEORY 1. 3 credits
 Decision functions; optimum decision criteria; distance functions; hyperplanes,
hyperspheres, and hyperquadrics; kth nearest neighbor decision rule; clustering trans-
formation; piecewise linear machines; estimation theory; Perceptron.
EE 665-ELECTRONIC ANALOG AND HYBRID COMPUTERS 1. 3 credits
 System design considerations for analog and hybrid computers. Simulation
techniques.
EE 666-ELECTRONIC ANALOG AND HYBRID COMPUTERS 2. 3 credits
 Prerequisite: EE 665. Combined analog and digital computing systems. Per-
formance comparison, mathematical models of hybrid systems. Error analysis
and scaling in hybrid computers.
EE 667-ELECTRONIC ANALOG AND HYBRID COMPUTERS 3. 3 credits
 Prerequisites: EE 666, EE 640. Statistical measurement techniques, digital
differential analyzers. Hybrid optimization techniques.
EE 668-DIGITAL SYSTEMS CONTROL. 3 credits
 Prerequisite: EE 670. Sampling theorems, numerical analysis, number series,
error analysis of digital systems, digital simulation, the digital computer as a control
component.
EE 669-PATTERN RECOGNITION THEORY 2. 3 credits
 Prerequisite: EE 664. Feature extraction, kernel approximation; entropy func-
tions; stochastic approximation; potential functions; learning algorithms; image
feature sampling; discrete dynamic programming; threshold logic; grammars and
lists in pattern recognition.
EE 670-MODERN CONTROL THEORY 1. 3 credits
 Prerequisites: EE 570 and 601 or consent of instructor. Optimization of sys-
tems using calculus of variations, dynamic programming, and the Maximum
Principle. Extensive study of the linear plant quadratic loss case.
EE 671-MODERN CONTROL THEORY 2. 3 credits
 Prerequisites: EE 670 or CHE 616, and EE 640. Optimization in the presence
 of noise. State observers, dynamic compensators, and Kalman-Bucy filters.
 EE 672-MODERN CONTROL THEORY 3. 3 credits
 Prerequisite: EE 671. Advanced and specialized topics of current interest in
 modern systems theory with emphasis on computational methods.
 EE 676-INERTIAL GUIDANCE AND CONTROL. 3 credits
 Prerequisite: EE 670. Modern navigational and vehicle guidance and control
 techniques based upon usage of inertial reference.
 EE 679-NONLINEAR CONTROL SYSTEMS. 3 credits
 Prerequisite: EE 570. Stability of nonlinear systems using Liapunov's second
 method, the Popov and other frequency domain criteria.
 EE 680-ADVANCED ELECTRIC ENERGY SYSTEMS 1. 3 credits
 Prerequisite: EE 485 or consent of instructor. Energy systems in steady state;
 advanced analysis methods.
 EE 681-ADVANCED ELECTRIC ENERGY SYSTEMS 2. 3 credits
 Prerequisite: EE 680. Optimum control strategies for energy systems under
 normal operating conditions.