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Electrical and Computer Engineering Faculty Research & Creative Works

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Measurement Techniques To Identify Soft Failure Sensitivity To Esd, Jianchi Zhou, Yuandong Guo, Satyajeet Shinde, Ahmad Hosseinbeig, Abhishek Patnaik, Omid Hoseini Izadi, Chen Zeng, Jun Shi, Junji Maeshima, Hideki Shumiya, Kenji Araki, David Pommerenke Aug 2020

Measurement Techniques To Identify Soft Failure Sensitivity To Esd, Jianchi Zhou, Yuandong Guo, Satyajeet Shinde, Ahmad Hosseinbeig, Abhishek Patnaik, Omid Hoseini Izadi, Chen Zeng, Jun Shi, Junji Maeshima, Hideki Shumiya, Kenji Araki, David Pommerenke

Electrical and Computer Engineering Faculty Research & Creative Works

Electrostatic discharge (ESD)-induced soft failures are a critical issue for electronic systems as the failures are mostly found after the hardware design is completed. Any changes applied to the hardware may delay the project. Diagnostic tools capable of identifying soft failure-induced malfunctions in an early stage of product design help to reduce the risk of late stage ESD-induced project delays. In many cases, soft failures can be directly observed by the user interface, system crash, or other obvious indicators. However, in an early product design stage the operation system may be marginal, and applications may not be available. To improve …

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A Novel Data-Driven Analysis Method For Electromagnetic Radiations Based On Dynamic Mode Decomposition, Yanming Zhang, Lijun Jiang Aug 2020

A Novel Data-Driven Analysis Method For Electromagnetic Radiations Based On Dynamic Mode Decomposition, Yanming Zhang, Lijun Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

Electromagnetic radiations in complex electronic systems such as cell phones and computers are complex spatial oral correlations signals. Decomposing the electromagnetic radiation measured in the spatial oral domain is useful to gain physical insights into the process that generates radio frequency interference and the radiated spurious emission. In this article, a novel data-driven characterization method is proposed to analyze the electromagnetic radiations of both linear and nonlinear circuits. It employs the dynamic mode decomposition to simultaneously extract the temporal patterns and their corresponding dynamic modes. The temporal patterns show high-order harmonics generated by the nonlinearity. Then, these spatial oral coherent …

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Mismatch In Ebg Common-Mode Filters Implemented On Pcbs, Marina Y. Koledintseva, Sergiu Radu, Joseph Nuebel Aug 2020

Mismatch In Ebg Common-Mode Filters Implemented On Pcbs, Marina Y. Koledintseva, Sergiu Radu, Joseph Nuebel

Electrical and Computer Engineering Faculty Research & Creative Works

In this article, impedance mismatch effects on the characteristics of common-mode (CM) electromagnetic bandgap (EBG) filters are studied using three-dimensional (3-D) full-wave numerical simulations. The CM EBG filters considered herein are designed using standard printed circuit board technology and contain either microstrip (MS) differential pairs running above the EBG plane, or strip line (SL) differential pairs running on one of the layers next to the EBG plane. First, the terminations are fixed at 50 Ω, and the effects of the differential line impedance variations on the EBG filter parameters are studied. Overall, the considered variations in the widths of the …

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Cable Harness Modeling Using Mtl Parameters Derived From Integral Equations, Muqi Ouyang, Xu Wang, Nevin Altunyurt, Varittha Sanphuang, Nitin Parsa, Jun Fan Aug 2020

Cable Harness Modeling Using Mtl Parameters Derived From Integral Equations, Muqi Ouyang, Xu Wang, Nevin Altunyurt, Varittha Sanphuang, Nitin Parsa, Jun Fan

Electrical and Computer Engineering Faculty Research & Creative Works

A method to calculate equivalent Multiconductor Transmission-Line (MTL) parameters through integral equations is proposed in this paper. In the mixed-potential integral equations (MPIE), the elements of harness part are converted to MTL parameters based on the relations between MTL parameters and partial elements of 1-D wire segments. Then, to include the effects of reference metal plane nearby, the equivalent MTL parameters can be derived from the MPIE equations with modified harness elements by keeping the solutions on harness part the same. The current distributions on wires calculated using the equivalent MTL parameters have good correlations with the results from the …

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Transceivers As A Resource: Scheduling Time And Bandwidth In Software-Defined Radio, Nathan D. Price, Maciej Jan Zawodniok, Ivan G. Guardiola Jul 2020

Transceivers As A Resource: Scheduling Time And Bandwidth In Software-Defined Radio, Nathan D. Price, Maciej Jan Zawodniok, Ivan G. Guardiola

Electrical and Computer Engineering Faculty Research & Creative Works

In the future, software-defined radio may enable a mobile device to support multiple wireless protocols implemented as software applications. These applications, often referred to as waveform applications, could be added, updated, or removed from a software-radio device to meet changing demands. Current software-defined radio solutions grant an active waveform exclusive ownership of a specific transceiver or analog front-end. Since a wireless device has a limited number of front-ends, this approach puts a hard constraint on the number of concurrent waveform applications a device can support. A growing trend in software-defined radio research is to virtualize front-ends to allow sharing and …

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Investigation Of Honey Thin Film As A Resistive Switching Material For Nonvolatile Memories, Aleksey A. Sivkov, Yuan Xing, Kuan Yew Cheong, Xiangqun Zeng, Feng Zhao Jul 2020

Investigation Of Honey Thin Film As A Resistive Switching Material For Nonvolatile Memories, Aleksey A. Sivkov, Yuan Xing, Kuan Yew Cheong, Xiangqun Zeng, Feng Zhao

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, we report, for the first time, honey thin film as a resistive switching material and its memory behaviors. A dried honey film was sandwiched in between a CuxO bottom electrode and a Cu top electrode to form a metal-insulator-metal structure on a glass substrate. Current-voltage measurements showed that the device exhibited bipolar switching characteristics with Ohmic conduction behavior and a read memory window of 2.6 V. When biased at a read voltage of 0.2 V, the data retention time is over an interval of 104 s and ON/OFF ratio is in the order of 107 …

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A Novel Self-Restrained Decoupling Technique For Two Antennas, Min Li, Muhammad Yasir Jamal, Lijun Jiang, Kwan Lawrence Yeung Jul 2020

A Novel Self-Restrained Decoupling Technique For Two Antennas, Min Li, Muhammad Yasir Jamal, Lijun Jiang, Kwan Lawrence Yeung

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a novel self-restrained (SR) decoupling technique (DT) is presented to increase the isolation between two antennas. The 'self-restrained' feature means that the decoupling structure is only attached to the individual antenna itself without demanding any connection to other being coupled ones. The design parameters of the resultant decoupling structure can be precisely derived to achieve high isolations. A two-element monopole array is employed as a benchmark. Results show that good matching and high isolation are achieved simultaneously.

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A Novel Wideband Decoupling Network For Two Antennas, Min Li, Muhammad Yasir Jamal, Lijun Jiang, Kwan Lawrence Yeung Jul 2020

A Novel Wideband Decoupling Network For Two Antennas, Min Li, Muhammad Yasir Jamal, Lijun Jiang, Kwan Lawrence Yeung

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a novel wideband decoupling network (DN) is presented, which consists of two 2-way Wilkinson power dividers (WPDs), three transmission lines, and two reactive components. Rigorous design formulas are presented along with systematic design procedures. The transmission-line lengths and component reactances are precisely calculated to achieve high antenna isolation. Measurement results show that a very wide isolation bandwidth of 23.7% can be achieved after using the proposed DN.

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A Novel Planar Dual Cp Mimo Antenna With Polarization Diversity And High Isolation, Muhammad Yasir Jamal, Min Li, Lijun Jiang Jul 2020

A Novel Planar Dual Cp Mimo Antenna With Polarization Diversity And High Isolation, Muhammad Yasir Jamal, Min Li, Lijun Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a low cost planar two-port circularly polarized MIMO patch antenna with the polarization diversity is presented. Three grounded stubs and a mirrored F defected ground slot are used to achieve simultaneous matching and isolation between the two patch and offset feeding for circular polarization. The proposed antenna covering 2.5-2.55 GHz is fabricated and measured. Its measured performance show that \mathbf{\mathrm{S}_{11} < -10\ \mathrm{dB},\ \mathrm{S}_{12} < -20\ \mathrm{dB}} and axial ratio \mathbf{< 3\mathrm{dB}} for the whole band. Its radiation patterns and gain are also measured and an agreement with the simulation result has been achieved.

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A Design Of Taper-Like Etched Multicore Fiber Refractive Index-Insensitive A Temperature Highly Sensitive Mach-Zehnder Interferometer, Farhan Mumtaz, Pu Cheng, Chi Li, Shu Cheng, Cheng Du, Minghong Yang, Yutang Dai, Wenbin Hu Jul 2020

A Design Of Taper-Like Etched Multicore Fiber Refractive Index-Insensitive A Temperature Highly Sensitive Mach-Zehnder Interferometer, Farhan Mumtaz, Pu Cheng, Chi Li, Shu Cheng, Cheng Du, Minghong Yang, Yutang Dai, Wenbin Hu

Electrical and Computer Engineering Faculty Research & Creative Works

We propose and demonstrate Mach-Zehnder interferometer (MZI), which is the refractive index (RI) insensitive and temperature highly sensitive based on etched multi-core fiber (MCF) structure. The MCF and Fiber Bragg Grating (FBG) are used as hybrid sensing elements. The fabrication of the interferometer is provided a new taper-like structure by etching the MCF to further expose the side cores to the surroundings. The interferometer has produced a sensitivity of 103.2pm/°C within the ambient temperature up-to 70°C. Moreover, the superior temperature sensitivity is 89.19pm/°C, 66.64pm/°C, 56.42pm/°C in the range of 24°C to 130°C, and RI-insensitive in the range of 1.34 to …

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Adaptive Interference Mitigation Using Frequency-Selective Limiters Over Gps Band For Automotive Applications, Mahima Shukla, Marina Y. Koledintseva, Michael Geiler, Scott Gillette, Michael Hunnewell, Anton L. Geiler Jul 2020

Adaptive Interference Mitigation Using Frequency-Selective Limiters Over Gps Band For Automotive Applications, Mahima Shukla, Marina Y. Koledintseva, Michael Geiler, Scott Gillette, Michael Hunnewell, Anton L. Geiler

Electrical and Computer Engineering Faculty Research & Creative Works

In this work, we address the challenges associated with the necessity to protect Global Positioning system (GPS) receivers from various types of electromagnetic interference (EMI) generated by internal or external sources. We have developed a compact, lightweight, and passive frequency selective limiter (FSL) technology that automatically and adaptively protects vulnerable input circuits of a GPS receiver from unwanted emissions and prevents a GPS receiver from going into saturation. This technology is based on using magnetostatic surface waves in a magnetically biased ferrite film. The nonlinear processes in ferrite films enable discrimination of signals based on their power levels. In these …

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Improved Classification Of Medical Data Using Meta-Best Feature Selection, Matthew Chaplin, Jacob Grubb, Thomas Clifford, Justin Bruce, Tayo Obafemi-Ajayi, John Matta Jul 2020

Improved Classification Of Medical Data Using Meta-Best Feature Selection, Matthew Chaplin, Jacob Grubb, Thomas Clifford, Justin Bruce, Tayo Obafemi-Ajayi, John Matta

Electrical and Computer Engineering Faculty Research & Creative Works

Feature selection provides a useful method for reducing the size of large data sets while maintaining integrity, thereby improving the accuracy of neural networks and other classifiers. However, running multiple feature selection models and their accompanying classifiers can make interpreting results difficult. To this end, we present a data-driven methodology called Meta-Best that not only returns a single feature set related to a classification target, but also returns an optimal size and ranks the features by importance within the set. This proposed methodology is tested on six distinct targets from the well-known REGARDS dataset: Deceased, Self-Reported Diabetes, Light Alcohol Abuse …

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An Algorithm For The Evolutionary-Fuzzy Generation Of On-Line Signature Hybrid Descriptors, Marcin Zalasinski, Krzysztof Cpalka, Lukasz Laskowski, Donald C. Wunsch, Krzystof Przybyszewski Jul 2020

An Algorithm For The Evolutionary-Fuzzy Generation Of On-Line Signature Hybrid Descriptors, Marcin Zalasinski, Krzysztof Cpalka, Lukasz Laskowski, Donald C. Wunsch, Krzystof Przybyszewski

Electrical and Computer Engineering Faculty Research & Creative Works

In biometrics, methods which are able to precisely adapt to the biometric features of users are much sought after. They use various methods of artificial intelligence, in particular methods from the group of soft computing. In this paper, we focus on on-line signature verification. Such signatures are complex objects described not only by the shape but also by the dynamics of the signing process. In standard devices used for signature acquisition (with an LCD touch screen) this dynamics may include pen velocity, but sometimes other types of signals are also available, e.g. pen pressure on the screen surface (e.g. in …

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Optimal Control Of Linear Continuous-Time Systems In The Presence Of State And Input Delays With Application To A Chemical Reactor, Rohollah Moghadam, Sarangapani Jagannathan Jul 2020

Optimal Control Of Linear Continuous-Time Systems In The Presence Of State And Input Delays With Application To A Chemical Reactor, Rohollah Moghadam, Sarangapani Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, the optimal regulation of linear continuous-time systems with state and input delays is introduced by utilizing a quadratic cost function and state feedback. The Lyapunov-Krakovskii functional incorporating state and input delays is defined as a value function. Next, the Bellman type equation is formulated, and a delay Algebraic Riccati equation (DARE) over infinite time horizon is derived. By using the stationarity condition for the Bellman type equation, the optimal control input is obtained. It is demonstrated that the proposed optimal control input makes the closed-loop system asymptotically stable. Finally, simulation results confirm the theoretical claims by applying …

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Measurement Of The Amplitude And Phase Response Of Harmonic Products In Protection Diodes, Marcelo B. Perotoni, Omid Hoseini Izadi, David Pommerenke Jul 2020

Measurement Of The Amplitude And Phase Response Of Harmonic Products In Protection Diodes, Marcelo B. Perotoni, Omid Hoseini Izadi, David Pommerenke

Electrical and Computer Engineering Faculty Research & Creative Works

This paper provides initial data from a measurement setup that captures not only the magnitude of unwanted harmonic signals created by TVS diodes but also measures their phase. Initial SPICE simulations are used for qualitative comparison. Goal is to use the phase information to gain in-sight into the mechanisms that create harmonics, not only for Transient Voltage Supressor diodes, but also for imperfect metallic contacts.

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Distributed Adaptive State Estimation And Tracking Scheme For Nonlinear Systems Using Active Passive Sensor Networks, Akhilesh Raj, S. Jagannathan, Tansel Yucelen Jul 2020

Distributed Adaptive State Estimation And Tracking Scheme For Nonlinear Systems Using Active Passive Sensor Networks, Akhilesh Raj, S. Jagannathan, Tansel Yucelen

Electrical and Computer Engineering Faculty Research & Creative Works

This paper proposes a novel adaptive neural network (NN) based distributed state estimation scheme for a heterogeneous sensor network (HSN), to estimate the state vector of an unknown nonlinear process/target by using sensed output when the target input remains unknown. The active nodes in the HSN can sense the target output based on the detection range. By using a connected graph, the active nodes will communicate their estimated state vector from their adaptive NN observer to other passive nodes in the neighborhood that cannot sense the target, so that they can estimate the target state vector. Next, a subset of …

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Complex Permittivity Extraction From Synthetic Aperture Radar Images, Yuan Gao, Mohammad Tayeb Al Qaseer, Reza Zoughi Jul 2020

Complex Permittivity Extraction From Synthetic Aperture Radar Images, Yuan Gao, Mohammad Tayeb Al Qaseer, Reza Zoughi

Electrical and Computer Engineering Faculty Research & Creative Works

Microwave and millimeter wave synthetic aperture radar (SAR) imaging techniques are commonly used to generate high-resolution qualitative images showing the reflectivity (or complex permittivity) contrast in a sample-under-test (SUT). These techniques have been successfully applied for many diverse applications. However, these images lack quantitative information about the SUT, namely, its complex permittivity distribution. In this article, a novel method to extract the spatial distribution of complex permittivity from SAR images is proposed. The principle of the proposed method is outlined, then verified by a series of electromagnetic simulations, demonstrating that the proposed method can accurately extract the complex permittivity. Additionally, …

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Noise Coupling Mechanism Analysis And Mitigation Method For Receiver Sensitivity Improvement In An Optical Qsfp Transceiver Module, Yuandong Guo, Shuai Jin, Xinglin Sun, Jun Fan Jul 2020

Noise Coupling Mechanism Analysis And Mitigation Method For Receiver Sensitivity Improvement In An Optical Qsfp Transceiver Module, Yuandong Guo, Shuai Jin, Xinglin Sun, Jun Fan

Electrical and Computer Engineering Faculty Research & Creative Works

The increasingly growth of the traffic in data centers demands for high-speed data transition and high bandwidth density. Optical communication is a promising way for the propagation of high-speed signals with less distortions. The quad small form-factor pluggable (QSFP) transceiver module is an essential component converting an electrical signal into an optical signal for point-to-point data transition. Considerable attentions have been paid to the signal integrity (SI) optimization for the optical QSFP transceiver modules with different data rates, where the receiver sensitivity is generally considered to be critical. In this paper, the receiver sensitivity problem of a typical QSFP transceiver …

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Electric Parameter Tuning Of Wireless Power Transfer Coil For Charging Interoperability Of Electric Vehicles, Dongwook Kim, Seungyoung Ahn, Qiusen He, Anfeng Huang, Jun Fan, Hongseok Kim Jul 2020

Electric Parameter Tuning Of Wireless Power Transfer Coil For Charging Interoperability Of Electric Vehicles, Dongwook Kim, Seungyoung Ahn, Qiusen He, Anfeng Huang, Jun Fan, Hongseok Kim

Electrical and Computer Engineering Faculty Research & Creative Works

The SAE J2954 recommended practice (RP) contains the power transfer frequency, electric values, and test procedure for the electric vehicle (EV) wireless power transfer (WPT). In particular, this document expresses the inductance range of the powering coil, the power receiving coil and the coupling coefficient (k) and the impedance values. It is very important that adhering the electrical parameters in the standard considering that the wireless charging system's compatibility. However, once the coil is processed, it is not easy to adjust the inductance of each powering coil, power receiving coil as well as the coupling coefficient of between transmitting coil …

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Generic Modeling Of Differential Striplines Using Machine Learning Based Regression Analysis, Srinath Penugonda, Shaohui Yong, Anna Gao, Kevin Cai, Bidyut Sen, Jun Fan Jul 2020

Generic Modeling Of Differential Striplines Using Machine Learning Based Regression Analysis, Srinath Penugonda, Shaohui Yong, Anna Gao, Kevin Cai, Bidyut Sen, Jun Fan

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a generic model for a differential strip line is created using machine learning (ML) based regression analysis. A recursive approach of creating various inputs is adapted instead of traditional design of experiments (DoE) approach. This leads to reduction of number of simulations as well as control the data points required for performing simulations. The generic model is developed using 48 simulations. It is comparable to the linear regression model, which is obtained using 1152 simulations. Additionally, a tabular W-element model of a differential strip line is used to take into consideration the frequency-dependent dielectric loss. In order …

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An Enhanced Deep Reinforcement Learning Algorithm For Decoupling Capacitor Selection In Power Distribution Network Design, Ling Zhang, Wenchang Huang, Jack Juang, Hank Lin, Bin Chyi Tseng, Chulsoon Hwang Jul 2020

An Enhanced Deep Reinforcement Learning Algorithm For Decoupling Capacitor Selection In Power Distribution Network Design, Ling Zhang, Wenchang Huang, Jack Juang, Hank Lin, Bin Chyi Tseng, Chulsoon Hwang

Electrical and Computer Engineering Faculty Research & Creative Works

The selection of decoupling capacitors (decap) is a critical but tedious process in power distribution network (PDN) design. In this paper, an improved decap-selection algorithm based on deep reinforcement learning (DRL), which seeks the minimum number of decaps through a self-exploration training to satisfy a given target impedance, is presented. Compared with the previous relevant work: the calculation speed of PDN impedance is significantly increased by adopting an impedance matrix reduction method; also, the enhanced algorithm performs a better convergence by utilizing the techniques of double Q-learning and prioritized experience replay; furthermore, a well-designed reward is proposed to facilitate long-term …

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Predicting The Conducted Emission Of A Crm Pfc Below 1mhz By Transient Modeling, Hongseok Kim, Jiayi He, Chunyu Wu, Nicholas Erickson, Sangho Cho, Dohyung Kim, Yeong Hur, Jun Fan Jul 2020

Predicting The Conducted Emission Of A Crm Pfc Below 1mhz By Transient Modeling, Hongseok Kim, Jiayi He, Chunyu Wu, Nicholas Erickson, Sangho Cho, Dohyung Kim, Yeong Hur, Jun Fan

Electrical and Computer Engineering Faculty Research & Creative Works

Power Factor Corrections (PFC) are widely used in ac to dc power supplies. Modeling the PFC circuits and predicting the conducted emission (CE) are important in power supply designs. This paper introduces a transient model of a critical conduction mode (CRM) power factor correction. The control circuit of the PFC is built to achieve a CRM working condition with a constant on-time switching. The simulated time domain noise waveform is converted to the conducted EMI in frequency domain via short-time fast Fourier transform (STFFT). The simulated conducted EMI is compared to measured results below 1MHz.

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Investigation And Mitigation Of Radio Frequency Interference Caused By Weak Grounding Of Usb Type-C Receptacle Connector, Anfeng Huang, Xin Yan, Jingdong Sun, Qiaolei Huang, Jun Fan, Songping Wu, Dave Zhang, Huan Liao, Shuai Jin, Zhiping Yang Jul 2020

Investigation And Mitigation Of Radio Frequency Interference Caused By Weak Grounding Of Usb Type-C Receptacle Connector, Anfeng Huang, Xin Yan, Jingdong Sun, Qiaolei Huang, Jun Fan, Songping Wu, Dave Zhang, Huan Liao, Shuai Jin, Zhiping Yang

Electrical and Computer Engineering Faculty Research & Creative Works

In modern mobile electronic systems, USB connector has been identified as one of the dominant noise sources for desense issues. In this paper, the noise coupled to the Wi-Fi antenna from a USB connector is investigated. With the assistance of full-wave simulations, the root cause of desense noise is identified as the non-ideal electrical connection between the metal chassis and the USB receptacle shell where it is installed. The proposed radiation mechanism is validated through measurements of a real tablet device, and 15 dB noise level reduction is observed with a better grounding structure.

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Enhanced Deep Learning Approach Based On The Deep Convolutional Encoder-Decoder Architecture For Electromagnetic Inverse Scattering Problems, He Ming Yao, Lijun Jiang, Wei E.I. Sha Jul 2020

Enhanced Deep Learning Approach Based On The Deep Convolutional Encoder-Decoder Architecture For Electromagnetic Inverse Scattering Problems, He Ming Yao, Lijun Jiang, Wei E.I. Sha

Electrical and Computer Engineering Faculty Research & Creative Works

This letter proposes a novel deep learning (DL) approach to resolve the electromagnetic inverse scattering (EMIS) problems. The conventional approaches of resolving EMIS problems encounter assorted difficulties, such as high contrast, high computational cost, inevitable intrinsic nonlinearity, and strong ill-posedness. To surmount these difficulties, a novel DL approach is proposed based on a novel complex-valued deep fully convolutional neural network structure. The proposed complex-valued deep learning model for solving EMIS problems composes of an encoder network and its corresponding decoder network, followed by a final pixel-wise regression layer. The complex-valued encoder network extracts feature fragments from received scattered field data, …

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A Novel Wideband Decoupling Network For Two Antennas Based On The Wilkinson Power Divider, Min Li, Lijun Jiang, Kwan Lawrence Yeung Jul 2020

A Novel Wideband Decoupling Network For Two Antennas Based On The Wilkinson Power Divider, Min Li, Lijun Jiang, Kwan Lawrence Yeung

Electrical and Computer Engineering Faculty Research & Creative Works

In this article, a wideband decoupling network (DN) is presented based on the Wilkinson power divider (WPD). The DN is composed of 2 two-way unequal WPDs, three transmission lines (TLs), and two reactive components. Two techniques are introduced for the wideband performance: 1) by using the WPD with high output isolation, the antenna matching becomes independent of antenna decoupling. So, the decoupled antennas with the proposed DN could perform broad impedance bandwidths without using matching networks and 2) the DN is designed to minimize antennas' coupling coefficients at two frequencies, which collectively contribute to a broader decoupling bandwidth. In addition, …

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Availability-Resilient Control Of Uncertain Linear Stochastic Networked Control Systems, Chandreyee Bhowmick, S. Jagannathan Jul 2020

Availability-Resilient Control Of Uncertain Linear Stochastic Networked Control Systems, Chandreyee Bhowmick, S. Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

The resilient output feedback control of linear networked control (NCS) system with uncertain dynamics in the presence of Gaussian noise is presented under the denial of service (DoS) attacks on communication networks. The DoS attacks on the sensor-to-controller (S-C) and controller-to-actuator (C-A) networks induce random packet losses. The NCS is viewed as a jump linear system, where the linear NCS matrices are a function of induced losses that are considered unknown. A set of novel correlation detectors is introduced to detect packet drops in the network channels using the property of Gaussian noise. By using an augmented system representation, the …

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Dipole Source Reconstruction By Convolutional Neural Networks, Jiayi He, Qiaolei Huang, Jun Fan Jul 2020

Dipole Source Reconstruction By Convolutional Neural Networks, Jiayi He, Qiaolei Huang, Jun Fan

Electrical and Computer Engineering Faculty Research & Creative Works

Equivalent dipole moments are widely used for noise source reconstruction in radio frequency interference (RFI) study. The equivalent dipole sources are usually extracted from measured near-field pattern. This paper introduces a machine learning based method to extract the dipole moments. A convolutional neural network is trained to perform a multi-label classification to determine the type of dipole moments. The locations of the dipole moments are obtained from the global averaging pooling layer. Then the magnitude and phase of the dipoles can be calculated from least square (LSQ) optimization. The proposed method is tested on simulated near-field patterns. The comparison between …

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Decoupling Capacitor Placement Optimization With Lagrange Multiplier Method, Zhifei Xu, Jun Wang, Jun Fan Jul 2020

Decoupling Capacitor Placement Optimization With Lagrange Multiplier Method, Zhifei Xu, Jun Wang, Jun Fan

Electrical and Computer Engineering Faculty Research & Creative Works

This paper proposes a decoupling capacitor placement optimization method based on the cavity model and Lagrange multiplier. The variable conditions associating with coordinates (x,y) of input impedance expression based on the cavity model are combined with the Lagrange multiplier method. The decoupling capacitor optimum placement within a defined area of the board can be found through the proposed analytical method. The example of finding an optimum location of the decoupling capacitor within a defined area of the power delivery network is exposed, the results are compared to the brute-force method to prove the effectiveness of the proposed method.

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Online Optimal Adaptive Control Of A Class Of Uncertain Nonlinear Discrete-Time Systems, Rohollah Moghadam, Pappa Natarajan, Krishnan Raghavan, Sarangapani Jagannathan Jul 2020

Online Optimal Adaptive Control Of A Class Of Uncertain Nonlinear Discrete-Time Systems, Rohollah Moghadam, Pappa Natarajan, Krishnan Raghavan, Sarangapani Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a multi-layer neural network (MNN) based online optimal adaptive regulation of a class of nonlinear discrete-time systems in affine form with uncertain internal dynamics is introduced. The multi-layer neural networks (MNN)-based actor-critic framework is utilized to estimate the optimal control input and cost function. The temporal difference (TD) error is derived from the difference between actual and estimated cost function. The MNN weights of both critic and actor are tuned at every sampling instant as a function of the instantaneous temporal difference and control policy errors. The proposed approach does not require the selection of any basis …

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Dynamic Trajectory Generation And A Robust Controller To Intercept A Moving Ball In A Game Setting, Ravi Prakash, Laxmidhar Behera, Santhakumar Mohan, Sarangapani Jagannathan Jul 2020

Dynamic Trajectory Generation And A Robust Controller To Intercept A Moving Ball In A Game Setting, Ravi Prakash, Laxmidhar Behera, Santhakumar Mohan, Sarangapani Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

Complex and interactive robot manipulation skills, such as playing a game of table tennis against a human opponent, are a novel problem with multifaceted challenges. Accurate dynamic trajectory generation in order to respond to the tennis ball from the opponent and a novel control scheme for robust and high-performance tracking of the ball in such dynamic situations is a prerequisite to winning the game. In this paper, the dynamic movement primitives (DMPs) are employed for the stable generation of dynamic trajectories in the presence of environmental uncertainties such as ball position and velocity, opponent position and velocity and so on. …

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