Review of root-locus and frequency response techniques for control system analysis and synthesis. State-space techniques for modeling, full-state feedback regulator design, pole placement, and observer design. Combined observer and regulator design. Lab experiments on computers connected to mechanical systems. Prerequisites: 105, MATH 103, 113. Recommended: Matlab.
Courses
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Design of linear feedback control systems for command-following error, stability, and dynamic response specifications. Root-locus and frequency response design techniques. Examples from a variety of fields. Some use of computer aided design with MATLAB. Prerequisite: EE 102B, CME 102 (Math 53) or ME 161.
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Be part of a unique and intense six day course about extreme energy efficiency taking place during Spring Break at Rocky Mountain Institute's Innovation Center in Basalt, Colorado! Students will also meet several times during the quarter prior to the spring break portion of the course. E^3 will focus on efficiency techniques' design, performance, choice, evolution, integration, barrier-...
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Be part of a unique and intense six day course about extreme energy efficiency taking place during Spring Break at Rocky Mountain Institute's Innovation Center in Basalt, Colorado! Students will also meet several times during the quarter prior to the spring break portion of the course. E^3 will focus on efficiency techniques' design, performance, choice, evolution, integration, barrier-...
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This course will provide in-depth introduction to existing energy storage solutions being used on the electric grid and in vehicles with a primary focus on batteries and electrochemical storage. We will discuss the operating characteristics, cost and efficiency of these technologies and how tradeoff decisions can be made. Special attention will be given to system-level integration of new...
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Transportation accounts for nearly one-third of American energy use and greenhouse gas emissions and three-quarters of American oil consumption. It has crucial impacts on climate change, air pollution, resource depletion, and national security. Students wishing to address these issues reconsider how we move, finding sustainable transportation solutions. An introduction to the issue, covering...
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(Formerly 223B) An introduction to the concepts and applications in computer vision. Topics include: cameras and projection models, low-level image processing methods such as filtering and edge detection; mid-level vision topics such as segmentation and clustering; shape reconstruction from stereo, as well as high-level vision tasks such as object recognition, scene recognition, face detection...
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Analysis and design techniques for multivariable feedback systems. State-space concepts, observability, controllability, eigenvalues, eigenvectors, stability, and canonical representations. Approaches for robust feedback control design, chiefly H2, H-infinity, and mu-synthesis. System identification and adaptive control design. Use of computer-aided design with MATLAB. Prerequisite: ENGR 105,...
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Visual computing tasks such as computational photography, image/video analysis, 3D reconstruction, and real-time 3D graphics are key responsibilities of modern computer systems ranging from sensor-rich smart phones, autonomous robots, and large data centers. These workloads demand exceptional system efficiency and this course examines the key ideas, techniques, and challenges associated with...
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Energy is a fundamental driver of human development and opportunity. At the same time, our energy system has significant consequences for our society, political system, economy, and environment. For example, energy production and use is the number one source of greenhouse gas emissions. In taking this course, students will not only understand the fundamentals of each energy resource --...
