ASU Electronic Theses and Dissertations
- 3 English
- 3 Public
- 2 Electrical engineering
- 1 Adaptive control
- 1 Analog front end
- 1 Buck converter
- 1 CMOS
- 1 Electrical Engineering
- 1 PID controller
- 1 Robust Stability Condition
- 1 System Identification
- 1 amplifiers
- 1 amplify-and-forward
- 1 distributed estimation
- 1 energy efficiency
- 1 nonlinear
- 1 predistortion
- 1 sensor
This thesis presents a gas sensor readout IC for amperometric and conductometric electrochemical sensors. The Analog Front-End (AFE) readout circuit enables tracking long term exposure to hazardous gas fumes in diesel and gasoline equipments, which may be correlated to diseases. Thus, the detection and discrimination of gases using microelectronic gas sensor system is required. This thesis describes the research, development, implementation and test of a small and portable based prototype platform for chemical gas sensors to enable a low-power and low noise gas detection system. The AFE reads out the outputs of eight conductometric sensor array and eight amperometric sensor ...
- Kim, Hyuntae, Bakkaloglu, Bertan, Vermeire, Bert, et al.
- Created Date
Distributed estimation uses many inexpensive sensors to compose an accurate estimate of a given parameter. It is frequently implemented using wireless sensor networks. There have been several studies on optimizing power allocation in wireless sensor networks used for distributed estimation, the vast majority of which assume linear radio-frequency amplifiers. Linear amplifiers are inherently inefficient, so in this dissertation nonlinear amplifiers are examined to gain efficiency while operating distributed sensor networks. This research presents a method to boost efficiency by operating the amplifiers in the nonlinear region of operation. Operating amplifiers nonlinearly presents new challenges. First, nonlinear amplifier characteristics change across ...
- Santucci, Robert W., Spanias, Andreas, Tepedelenlioðlu, Cihan, et al.
- Created Date
Buck converters are electronic devices that changes a voltage from one level to a lower one and are present in many everyday applications. However, due to factors like aging, degradation or failures, these devices require a system identification process to track and diagnose their parameters. The system identification process should be performed on-line to not affect the normal operation of the device. Identifying the parameters of the system is essential to design and tune an adaptive proportional-integral-derivative (PID) controller. Three techniques were used to design the PID controller. Phase and gain margin still prevails as one of the easiest methods ...
- Serrano Rodriguez, Victoria Melissa, Tsakalis, Konstantinos, Bakkaloglu, Bertan, et al.
- Created Date
This collection includes most of the ASU Theses and Dissertations from 2011 to present. ASU Theses and Dissertations are available in downloadable PDF format; however, a small percentage of items are under embargo. Information about the dissertations/theses includes degree information, committee members, an abstract, supporting data or media.
In addition to the electronic theses found in the ASU Digital Repository, ASU Theses and Dissertations can be found in the ASU Library Catalog.
Dissertations and Theses granted by Arizona State University are archived and made available through a joint effort of the ASU Graduate College and the ASU Libraries.
For more information or questions about this collection contact or visit the Digital Repository ETD Library Guide or contact the ASU Graduate College at firstname.lastname@example.org.