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Course Criteria
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3.00 Credits
This course introduces advanced modeling and control topics in power electronics, including design-oriented analysis, averaged switch modeling, AC modeling of the discontinuous conduction mode, the current programmed mode, input filter design, digital control of switched-mode power converters, and low-harmonic rectifiers. Prerequisite: ECE 6120 or instructor permission
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3.00 Credits
This course presents analysis methods and design challenges associated with soft-switching and resonant converters. It introduces mechanisms of switching loss and soft switching techniques, steady-state analysis in the time and frequency domains, and analysis of various resonant and soft-switching DC-DC and DC-AC converters. Prerequisites: ECE 6120 or instructor permission
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3.00 Credits
Theory, engineering, and data reduction techniques of spacecraft instrumentation for space science and spacecraft systems. Prerequisite/Restriction: ECE 6240/PHYS 6240. Cross-listed as: PHYS 7210.
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3.00 Credits
Methods of nonlinear and adaptive control system design and analysis. Includes qualitative and quantitative theories, graphical methods, frequency domain methods, sliding surface design, linear parameter estimation methods, and direct and indirect adaptive control techniques. Prerequisite/Restriction: ECE 6320/MAE 6320. Cross-listed as: MAE 7330.
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3.00 Credits
The application of multi-variable optimal control techniques to aircraft, missiles and spacecraft. Prerequisite: MAE/ECE 6320 Crosslisted as: MAE 7340
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3.00 Credits
Students learn advanced methods of control system analysis and design. These include operator approaches to optimal control, such as LQR, LQG, and L1 optimization techniques. Prerequisite(s): ECE 6320/MAE 6320 or instructor permission Cross-listed as: MAE 7360 Repeatable for credit: No Grade Mode: Standard
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3.00 Credits
This course covers probability theory, stochastic system models, optimal estimation for linear systems, optimal smoothing, and optimal estimation for nonlinear systems. Applications of these concepts include orbit determination, real-time position, velocity, and attitude determination for rockets, aircraft, and spacecraft. Crosslisted as: MAE 7560 Prerequisites: One of the following: MAE 5310 MAE 6320 ECE 5310 ECE 6320
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3.00 Credits
This course covers the theory and applications of Monte Carlo and Linear Covariance techniques to closed-loop aerospace systems. Crosslisted as: MAE 7570 Prerequisite: ECE 6560 or MAE 6560
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3.00 Credits
Students learn advanced digital signal and image processing theory and methods. Topics are selected from optimal filter design, adaptive filtering, spectral estimation, beamforming, tomography, data compression, restoration/superresolution, machine vision, etc. Prerequisites: ECE 5630 ECE 6010 .
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3.00 Credits
Course Description: Students examine codes employed in digital communications, including a discussion of error correction codes over finite fields. Students learn Reed-Solomon, convolutional, and trellis coding. Advanced coding techniques are also presented. Prerequisites/Restrictions: ECE 5660 (may be taken concurrently)
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