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Course Criteria
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3.00 Credits
Fundamentals of state estimation for linear and nonlinear systems. Discrete and continuous systems. Probability and stochastic systems theory. Models with noise. Kalman-Bucy filters, extended Kalman filters, recursive estimation. Numerical issues in filter design and implementation. Offered: jointly with A A 549/M E 549.
Prerequisite:
E E 505 or AMATH 506 or STAT 506; recommended: 548 or A A 548
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3.00 Credits
Calculus of variations for dynamical systems, definition of the dynamic optimization problem, constraints and Lagrange multipliers, the Pontryagin Maximum Principle, necessary conditions for optimality, the Hamilton-Jacobi- Bellman equation, singular arc problems, computational techniques for solution of the necessary conditions. Offered: jointly with A A 550/M E 550.
Prerequisite:
graduate standing; recommended: A A 548 or E E 548
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4.00 Credits
Liu The protection of e ric power systems from overcurrents and overvoltages. Analysis and design of overcurrents resulting from faults, lightning induced or otherwise, or from excessive loads or power swings. Analysis and design of overvoltages resulting from switching transients or lightning. Principal concern is with relays and lightning arrestors as protection means.
Prerequisite:
E E 455 or equivalent
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4.00 Credits
Damborg, El-Sharkawi Advanced computer modeling and analysis of power systems. Application of modern systems and control theories.
Prerequisite:
E E 351 and E E 455 or permission of instructor
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4.00 Credits
Christie, Damborg, Liu Economic structure of power systems. Problem formulation, optimization methods and programming for economic analysis of power system operation and planning. Economic dispatch, load forecasting, unit commitment, interchange, planning and reliability analysis. Provides background to pursue advanced work in planning and operation.
Prerequisite:
graduate standing or permission of instructor
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4.00 Credits
Christie, Liu Deals with problems whose solution depends upon the inversion of sparse matrices that occur in the planning and operational studies of large interconnected energy systems. Application studies include system model development, state estimation, and load flow.
Prerequisite:
E E 456 or permission of instructor
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4.00 Credits
Fundamentals and applications of intelligent systems and biologically inspired algorithms such as neural networks, evolutionary computations, swarm optimization and fuzzy systems. Solving complex engineering applications with a combination of these technologies as well as with more traditional approaches such as statistical system theories.
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1.00 - 5.00 Credits
Topics of current interest in e rical power and energy devices and systems. Content varies from year to year, based on current professional interests of faculty member in charge.
Prerequisite:
permission of instructor
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3.00 Credits
Covers main areas of artificial intelligence (AI) without need for extensive prerequisites. Programming languages for AI; problem solving; representations; control strategies; searching strategies; predicate calculus; rule-based deduction; goal-directed planning; knowledge-based systems.
Prerequisite:
CSE 373 or equivalent
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3.00 Credits
Soma Faults and their manifestation, issues, theory, and techniques of reliable systems design, testing, design for testability, self-checking and fail-safe circuits, coding techniques, system-level fault diagnosis, fault-tolerant communication, reliable software design, and evaluation criteria. Offered: jointly with CSE 563.
Prerequisite:
basic knowledge of digital systems design or permission of instructor
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