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Electrical and Computer Engineering Faculty Research & Creative Works

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Articles 1531 - 1560 of 3518

Full-Text Articles in Engineering

Optimal Adaptive Controller Scheme For Uncertain Quantized Linear Discrete-Time System, Qiming Zhao, Hao Xu, S. Jagannathan Jan 2012

Optimal Adaptive Controller Scheme For Uncertain Quantized Linear Discrete-Time System, Qiming Zhao, Hao Xu, S. Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, the Bellman equation is used to solve the optimal adaptive control of quantized linear discrete-time system with unknown dynamics. to mitigate the effect of the quantization errors, the dynamics of the quantization error bound and an update law for tuning the range of the dynamic quantizer are derived. Subsequently, by using adaptive dynamic programming technique, the infinite horizon optimal regulation problem of the uncertain quantized linear discrete-time system is solved in a forward-in-time manner without using value and/or policy iterations. the asymptotic stability of the closed-loop system is verified by standard Lyapunov stability approach in the presence …

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State And Output Feedback-Based Adaptive Optimal Control Of Nonlinear Continuous-Time Systems In Strict Feedback Form, H. Zargarzadeh, T. Dierks, S. Jagannathan Jan 2012

State And Output Feedback-Based Adaptive Optimal Control Of Nonlinear Continuous-Time Systems In Strict Feedback Form, H. Zargarzadeh, T. Dierks, S. Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

This paper focuses on neural network (NN) based adaptive optimal control of nonlinear continuous-time systems in strict feedback form with known dynamics. a single NN is utilized to learn the infinite horizon cost function which is the solution to the Hamilton-Jacobi-Bellman (HJB) equation in continuous-time. the corresponding optimal control input that minimizes the HJB equation is calculated in a forward-in-time manner without using value and policy iterations. First, the optimal control problem is solved in a generic multi-input and multi output (MIMO) nonlinear system in strict feedback form with a state feedback approach. Then, the approach is extended to single …

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Modified Cellular Simultaneous Recurrent Networks With Cellular Particle Swarm Optimization, Tae-Hyung Kim, Donald C. Wunsch Jan 2012

Modified Cellular Simultaneous Recurrent Networks With Cellular Particle Swarm Optimization, Tae-Hyung Kim, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

A cellular simultaneous recurrent network (CSRN) [1-11] is a neural network architecture that uses conventional simultaneous recurrent networks (SRNs), or cells in a cellular structure. The cellular structure adds complexity, so the training of CSRNs is far more challenging than that of conventional SRNs. Computer Go serves as an excellent test bed for CSRNs because of its clear-cut objective. For the training data, we developed an accurate theoretical foundation and game tree for the 2x2 game board. The conventional CSRN architecture suffers from the multi-valued function problem; our modified CSRN architecture overcomes the problem by employing ternary coding of the …

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Promoting Search Diversity In Ant Colony Optimization With Stubborn Ants, Ashraf M. Abdelbar, Donald C. Wunsch Jan 2012

Promoting Search Diversity In Ant Colony Optimization With Stubborn Ants, Ashraf M. Abdelbar, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

In ant colony optimization (ACO) methods, including Ant System and MAX-MIN Ant System, each ant stochastically generates its candidate solution, in a given iteration, based on the same pheromone and heuristic information as every other ant. Stubborn ants is an ACO variation in which if an ant generates a particular candidate solution in a given iteration, then the components of that solution will have a higher probability of being selected in the candidate solution generated by that ant in the next iteration. In previous work, we evaluated this variation with the M M AS Ant System model and the Traveling …

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Resilience Modelling Of Networks Against Adaptive Challenges, Egemen K. Çetinkaya, Justin P. Rohrer, James P. G. Sterbenz Jan 2012

Resilience Modelling Of Networks Against Adaptive Challenges, Egemen K. Çetinkaya, Justin P. Rohrer, James P. G. Sterbenz

Electrical and Computer Engineering Faculty Research & Creative Works

No abstract provided.

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Modelling Challenges And Attacks To Wireless Networks, Dongsheng Zhang, Santosh Ajith Gogi, Dan S. Broyles, Egemen K. Çetinkaya, James P. G. Sterbenz Jan 2012

Modelling Challenges And Attacks To Wireless Networks, Dongsheng Zhang, Santosh Ajith Gogi, Dan S. Broyles, Egemen K. Çetinkaya, James P. G. Sterbenz

Electrical and Computer Engineering Faculty Research & Creative Works

A thorough understanding of the network behaviour when exposed to challenges is of paramount importance to construct a resilient MANET (mobile ad hoc network). However, modelling mobile and wireless networks as well as challenges against them is non-trivial due to dynamic and intermittent connectivity caused by channel fading and mobility of the nodes. We treat MANETs as time-varying graphs (TVGs) represented as a weighted adjacency matrix, in which the weights denote the link availability. We present how centrality-based attacks could affect network performance for different routing protocols. Furthermore, we model propagation loss models that represent realistic area-based challenges in wireless …

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Software Education For Changing Computing Technology, Steve Eugene Watkins Jan 2012

Software Education For Changing Computing Technology, Steve Eugene Watkins

Electrical and Computer Engineering Faculty Research & Creative Works

Software education has been dominated by procedural-based programming languages such as BASIC, FORTRAN and C, and before that, the assembly languages. The primary reason that this methodology has held such sway in education was that it allowed quick action for the first major users of computers. This approach was the most straight-forward means of utilizing hardware that, over the last 60 years, has gotten faster and more complex through smaller and more densely packed elements. However, traditional advances as described by Moore’s law are now reaching both physical and economic limits. Pure object-oriented programming approaches offer benefits for hardware that …

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Adaptive Multi-Vehicle Area Coverage Optimization System And Method, Ryan J. Meuth, John Lyle Vian, Emad W. Saad, Donald C. Wunsch Jan 2012

Adaptive Multi-Vehicle Area Coverage Optimization System And Method, Ryan J. Meuth, John Lyle Vian, Emad W. Saad, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

A system and method for dividing a predefined search region into a map of a plurality of subregions to be searched by a plurality of mobile platforms, taking into account the capabilities of the mobile platforms and varying environmental conditions within the subregions, while minimizing the time needed to search each of the subregions. The system and method updates the map of the subregions as needed, in real time, to account for changing environmental conditions and changes in the capabilities of the mobile platforms being used. The subregions may also be determined using a desired level of probability for detecting …

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Hardware Emulation Of Wideband Correlated Multiple-Input Multiple-Output Fading Channels, Fei Ren, Yahong Rosa Zheng Jan 2012

Hardware Emulation Of Wideband Correlated Multiple-Input Multiple-Output Fading Channels, Fei Ren, Yahong Rosa Zheng

Electrical and Computer Engineering Faculty Research & Creative Works

A low-complexity hardware emulator is proposed for wideband, correlated, multiple-input multiple-output (MIMO) fading channels. the proposed emulator generates multiple discrete-time channel impulse responses (CIR) at the symbol rate and incorporates three types of correlation functions of the subchannels via Kronecker product: The spatial correlation between transmit or receive elements, temporal correlation due to Doppler shifts, and inter-tap correlation due to multipaths. the Kronecker product is implemented by a novel mixed parallel-serial (mixed P-S) matrix multiplication method to reduce memory storage and to meet the real-time requirement in high data-rate, large MIMO size, or long CIR systems. We present two practical …

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Risk Assessment Of Cascading Outages: Part I - Overview Of Methodologies, Marianna Vaiman, Keith Bell, Yousu Chen, Badrul H. Chowdhury, Ian Dobson, Paul Hines, Milorad Papic, Stephen S. Miller, Pei Zhang Dec 2011

Risk Assessment Of Cascading Outages: Part I - Overview Of Methodologies, Marianna Vaiman, Keith Bell, Yousu Chen, Badrul H. Chowdhury, Ian Dobson, Paul Hines, Milorad Papic, Stephen S. Miller, Pei Zhang

Electrical and Computer Engineering Faculty Research & Creative Works

This paper is a result of ongoing activity carried out by Understanding, Prediction, Mitigation and Restoration of Cascading Failures Task Force under IEEE Computer Analytical Methods Subcommittee (CAMS). the task force's previous papers are focused on general aspects of cascading outages such as understanding, prediction, prevention and restoration from cascading failures. This is the first of two new papers, which extend this previous work to summarize the state of the art in cascading failure risk analysis methodologies and modeling tools. This paper is intended to be a reference document to summarize the state of the art in the methodologies for …

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Innovative Smart Grid Control Technologies, Ganesh K. Venayagamoorthy Dec 2011

Innovative Smart Grid Control Technologies, Ganesh K. Venayagamoorthy

Electrical and Computer Engineering Faculty Research & Creative Works

The smart electric power grid will evolve into a very complex adaptive system under semi-autonomous distributed control. It will be spatially and temporally complex, non-convex, non-linear and non-stationary, with lots of variability and uncertainties beyond what the traditional power system experiences today. the distributed integration of intermittent sources of energy and energy storage to a power grid further adds complexity and challenges to modeling, control and optimization of the grid. Innovative control technologies are needed to handle the growing complexity of a smart grid, maximize the penetration of renewable energy, and provide maximum utilization of available energy storage, especially plug-in …

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Intelligent Sense-Making For Smart Grid Stability, Ganesh K. Venayagamoorthy Dec 2011

Intelligent Sense-Making For Smart Grid Stability, Ganesh K. Venayagamoorthy

Electrical and Computer Engineering Faculty Research & Creative Works

The power systems of the future - smart grids - will see an increase in both renewable energy sources and load demand, thus increasing the need for fast dynamic reconfiguration of system parameters to handle energy and load dispatches. Power systems will need to be monitored continuously to maintain stability under normal and abnormal operating conditions and when facing disturbances. a combination of system state prediction, dynamic power flow, system optimization, and solution stability checking will allow for a more reliable, affordable, efficient and clean power grid. the optimization and control systems on a smart grid will require a computational …

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Computational Intelligence For Control Of Wind Turbine Generators, Wei Qiao, Jiaqi Liang, Ganesh K. Venayagamoorthy, Ronald Harley Dec 2011

Computational Intelligence For Control Of Wind Turbine Generators, Wei Qiao, Jiaqi Liang, Ganesh K. Venayagamoorthy, Ronald Harley

Electrical and Computer Engineering Faculty Research & Creative Works

This paper summarizes past and ongoing research in the area of the application of computational intelligence (CI) for control of wind turbine generators (WTGs). Several intelligent design approaches and control strategies, including optimal design of WTG controllers using particle swarm optimization (PSO) and mean-variance optimization (MVO) algorithms and adaptive critic design-Based coordinated optimal adaptive control for wind plants and shunt FACTS devices, are presented for dynamic performance and fault ride-through enhancement of WTGs and the associated power grid. the effectiveness of these intelligent design approaches and control strategies are demonstrated by nonreal- and real-time simulations in PSCAD/EMTDC and RSCAD/RTDS, respectively. …

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Should Distribution Systems Engineering Be Taught At The Undergraduate Level?, Badrul Chowdhury, Anil Pahwa Dec 2011

Should Distribution Systems Engineering Be Taught At The Undergraduate Level?, Badrul Chowdhury, Anil Pahwa

Electrical and Computer Engineering Faculty Research & Creative Works

Although there are some exceptions, a distribution systems course is not part of a typical undergraduate curriculum. the course is usually taught at the graduate level. Teaching a distribution systems course requires the student to have a background in balanced three-phase power system modeling such as that obtained from a first power systems analysis course. the requirement to add breadth to an undergraduate curriculum often precludes the notion of depth in any one area unless a student takes the depth courses as technical or free electives. an argument could be made that a distribution systems course does not contain much …

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On-Line Voltage Stability Load Index Estimation Based On Pmu Measurements, K. Joseph Makasa, Ganesh K. Venayagamoorthy Dec 2011

On-Line Voltage Stability Load Index Estimation Based On Pmu Measurements, K. Joseph Makasa, Ganesh K. Venayagamoorthy

Electrical and Computer Engineering Faculty Research & Creative Works

A new method for estimation of Voltage Stability Load Index (VSLI) for a power system using data from optimally located phasor measurement units (PMU) is presented in this paper. Optimal PMU placement was carried out considering islanding operating conditions. vs.LI is estimated using a kind of recurrent neural network known as the Echo State Network (ESN). the development ESN is computational efficient and provides accurate estimation. Results of optimal PMU placement for normal and islanded operating conditions, and ESN estimation of vs.LI on the IEEE 14 bus system is presented. © 2011 IEEE.

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Intelligent Methods For Smart Microgrids, Joydeep Mitra, Niannian Cai, Mo Yuen Chow, Sukumar Kamalasadan, Wenxin Liu, Wei Qiao, Sri Niwas Singh, Anurag K. Srivastava, Sanjeev K. Srivastava, Ganesh K. Venayagamoorthy, Ziang Zhang Dec 2011

Intelligent Methods For Smart Microgrids, Joydeep Mitra, Niannian Cai, Mo Yuen Chow, Sukumar Kamalasadan, Wenxin Liu, Wei Qiao, Sri Niwas Singh, Anurag K. Srivastava, Sanjeev K. Srivastava, Ganesh K. Venayagamoorthy, Ziang Zhang

Electrical and Computer Engineering Faculty Research & Creative Works

This paper summarizes ongoing research in the application of intelligent methods to the design, modeling, simulation and control of microgrids including optimal design of microgrids, and centralized and decentralized control. © 2011 IEEE.

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Work In Progress - Virtual Facilitation And Procedural Knowledge Education, Ray Luechtefeld, Steve Eugene Watkins Dec 2011

Work In Progress - Virtual Facilitation And Procedural Knowledge Education, Ray Luechtefeld, Steve Eugene Watkins

Electrical and Computer Engineering Faculty Research & Creative Works

Engineering students acquire both conceptual and procedural knowledge as part of their education. While conceptual knowledge, such as understanding why certain design practices are required or having knowledge of the general principles of engineering development, is essential, procedural knowledge to enact specific engineering practices is also needed. This kind of knowledge, such as balancing chemical equations, solving calculus problems, or finding Thevenin-Norton equivalents, is usually taught through rote problem solving, sometimes with the guidance of teaching assistants or aid from the instructor if students find themselves "stuck". However, a Virtual Facilitator, designed to help students develop team skills, can also …

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Simulations Of Pulse Signals With X-Parameters, Nick K.H. Huang, Lijun Jiang Dec 2011

Simulations Of Pulse Signals With X-Parameters, Nick K.H. Huang, Lijun Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

Nonlinearity is becoming increasingly important to IC technologies. From the PHD formalism, X-parameter models provide an accurate frequency-domain method under large-signal operating points to characterize their nonlinear behaviors. In this work, X-parameter models are investigated to handle time-domain pulse signals which is critical to IC signal integrity but was not studied before. Two representative circuits, an analog LNA and a digital CMOS buffer, were employed to characterize the X-parameter performance. The results obtained in this paper provide the first hand data for pulse signal responses of X-parameters in signal integrity modelings. © 2011 IEEE.

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Compact Metallic Rfid Tag Antennas With A Loop-Fed Method, Peng H. Yang, Yan Li, Lijun Jiang, W. C. Chew, Terry Tao Ye Dec 2011

Compact Metallic Rfid Tag Antennas With A Loop-Fed Method, Peng H. Yang, Yan Li, Lijun Jiang, W. C. Chew, Terry Tao Ye

Electrical and Computer Engineering Faculty Research & Creative Works

Several compact, low profile and metal-attachable RFID tag antennas with a loop-fed method are proposed for UHF RFID systems. The structure of the proposed antennas comprise of two parts: (1) The radiator part consists of two shorted patches, which can be treated as two quarter-wave patch antennas or a cavity. (2) A small loop printed on the paper serves as the feeding structure. The small loop provides the needed inductance for the tag and is connected to the RFID chip. The input impedance of the antenna can be easily adjusted by changing loop dimensions. The antenna has the compact size …

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Optofluidic Glucose Sensor Utilizing An Epoxy-Based, Transparent Dry Film Resist, Zhan Gao, Sijia Gong, Chang Soo Kim, David B. Henthorn Dec 2011

Optofluidic Glucose Sensor Utilizing An Epoxy-Based, Transparent Dry Film Resist, Zhan Gao, Sijia Gong, Chang Soo Kim, David B. Henthorn

Electrical and Computer Engineering Faculty Research & Creative Works

An enzymatic, fluorescent glucose sensor was constructed with a novel epoxy-Based, optically transparent dry film resist (PerMX 3000 series, DuPont). This material was utilized as the main active material for fluidic structure and optical interrogation. This sensor was based on the enzymatic reaction of glucose oxidase (GOD) and utilized a ruthenium complex fluorophore as the reporting agent. Both the oxygen-sensitive ruthenium complex and GOD were incorporated into poly (ethylene glycol) (PEG)-Based hydrogel materials, which were lithographically patterned and embedded inside the PerMX fluidic channel after wafer-bonding process. the optofluidic sensing platform with this embedded sensing elements exhibited a wide dynamic …

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Eigenvalue Distributions Of Mimo Rayleigh-Product Channels With Arbitrary-Power Co-Channel Interference And Noise, Yongpeng Wu, Shi Jin, Xiqi Gao, Chengshan Xiao, Matthew R. Mckay Dec 2011

Eigenvalue Distributions Of Mimo Rayleigh-Product Channels With Arbitrary-Power Co-Channel Interference And Noise, Yongpeng Wu, Shi Jin, Xiqi Gao, Chengshan Xiao, Matthew R. Mckay

Electrical and Computer Engineering Faculty Research & Creative Works

This paper studies the eigenvalue distributions of multiple-input multiple-output (MIMO) Rayleigh-product channels in the presence of both co-channel interference and thermal noise. We first present exact expressions for the marginal ordered eigenvalue distributions of the channel Gram matrix when multichannel beamforming is employed, from which we obtain exact results of the outage probability on each eigenmode. Our results apply to a wide class of multichannel systems which transmit on the eigenmodes of the MIMO channel, allowing for transmission on any numbers of eigen subchannels, with any numbers of antennas, any numbers of scatterers in the environment, and any numbers of …

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On The Preconditioner Of Conjugate Gradient Method A Power Grid Simulation Perspective, Chung Han Chou, Nien Yu Tsai, Hao Yu, Che Rung Lee, Yiyu Shi, Shih Chieh Chang Dec 2011

On The Preconditioner Of Conjugate Gradient Method A Power Grid Simulation Perspective, Chung Han Chou, Nien Yu Tsai, Hao Yu, Che Rung Lee, Yiyu Shi, Shih Chieh Chang

Electrical and Computer Engineering Faculty Research & Creative Works

Preconditioned Conjugate Gradient (PCG) method has been demonstrated to be effective in solving large-scale linear systems for sparse and symmetric positive definite matrices. One critical problem in PCG is to design a good preconditioner, which can significantly reduce the runtime while keeping memory usage efficient. Universal preconditioners are simple and easy to construct, but their effectiveness is highly problem dependent. on the other hand, domain-specific preconditioners that explore the underlying physical meaning of the matrices usually work better but are difficult to design. in this paper, we study the problem in the context of power grid simulation, and develop a …

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Distribution Lmp-Based Economic Operation For Future Smart Grid, Fanjun Meng, Badrul H. Chowdhury Dec 2011

Distribution Lmp-Based Economic Operation For Future Smart Grid, Fanjun Meng, Badrul H. Chowdhury

Electrical and Computer Engineering Faculty Research & Creative Works

A new methodology for calculating the distribution locational marginal prices (D-LMP) with distributed multi-agent paradigm is presented. the proposed D-LMP employs an optimal power flow methodology to evaluate the marginal energy component, especially for renewable generations, as well as the marginal congestion and loss components, which are critical for the valuation and settlement purposes. It is also illustrated that the D-LMP can be used as pricing signal to achieve maximum system social surplus and encourage distributed renewable energy penetration in distribution system. © 2011 IEEE.

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Localization Of Objects Using Cross-Correlation Of Shadow Fading Noise And Copulas, Mohammed Rana Basheer, Sarangapani Jagannathan Dec 2011

Localization Of Objects Using Cross-Correlation Of Shadow Fading Noise And Copulas, Mohammed Rana Basheer, Sarangapani Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

While fading, in general, is detrimental to accurately localizing a target, fading correlation between adjacent receivers may be exploited to improve localization accuracy. Therefore, this paper presents a novel wireless localization scheme that employs a combination of cross-correlation between shadow fading noise and copula technique to recursively estimate the location of a transmitter. a stochastic filter that models multipath fading as an Ornstein-Uhlenbeck process followed by a Generalized Auto Regressive Conditional Heteroskedasticity (GARCH) filtering is proposed to extract shadow fading residuals from measured RSSI values. Subsequently, Student-t Copula function is used to create the log likelihood function, which acts as …

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Capacitance Calculation For A Shared-Antipad Via Structure Using An Integral Equation Method Based On Partial Capacitance, Hanfeng Wang, Albert E. Ruehli, Jun Fan Dec 2011

Capacitance Calculation For A Shared-Antipad Via Structure Using An Integral Equation Method Based On Partial Capacitance, Hanfeng Wang, Albert E. Ruehli, Jun Fan

Electrical and Computer Engineering Faculty Research & Creative Works

An integral equation method used for capacitance extraction for axially symmetric geometries is extended in this paper to calculate the via-plane capacitances in shared-antipad via structures, by changing the circular ring cells to arc ones. the proposed method is validated with a commercial finite element method-based tool for a typical structure used in modern high-speed printed circuit design. © 2011 IEEE.

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On The Linear Precoder Design For Mimo Channels With Finite-Alphabet Inputs And Statistical Csi, Weiliang Zeng, Chengshan Xiao, Mingxi Wang, Jianhua Lu Dec 2011

On The Linear Precoder Design For Mimo Channels With Finite-Alphabet Inputs And Statistical Csi, Weiliang Zeng, Chengshan Xiao, Mingxi Wang, Jianhua Lu

Electrical and Computer Engineering Faculty Research & Creative Works

This paper investigates the linear precoder design that maximizes the average mutual information of multiple-input multiple-output channels with finite-alphabet inputs and statistical channel state information known at the transmitter. This linear precoder design is an important open problem and is extremely difficult to solve: First, average mutual information lacks closed-form expression and involves complicated computations; Second, the optimization problem over precoder is nonconcave. This study explores the solution to this problem and provides the following contributions: 1) a closed-form lower bound of average mutual information is derived. It achieves asymptotic optimality at low and high signal-to-noise ratio regions and, with …

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Linear Precoding For Mimo Multiple Access Channels With Discrete-Constellation Inputs, Mingxi Wang, Weiliang Zeng, Chengshan Xiao Dec 2011

Linear Precoding For Mimo Multiple Access Channels With Discrete-Constellation Inputs, Mingxi Wang, Weiliang Zeng, Chengshan Xiao

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, we study linear precoding for multiple-input multiple-output (MIMO) multiple access channels (MAC) with discrete-constellation inputs. We derive the constellation-constrained capacity region for the MIMO MAC with an arbitrary number of users. Due to the non-concavity of the objective function, we obtain the necessary conditions for the weighted sum rate (WSR) maximization problem through Karush-Kuhn-Tucker (KKT) analysis. to find the optimal precoding matrices, we propose an iterative algorithm utilizing alternating optimization strategy and gradient descent update. Numerical results show that when inputs are digital modulated signals and the signal-to-noise ratio (SNR) is in the medium range, our proposed …

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Impact Of Spatial Correlation Of Fading Channels On The Performance Of Mimo Underwater Communication Systems, Jesse Cross, Jian Zhang, Yahong Rosa Zheng Dec 2011

Impact Of Spatial Correlation Of Fading Channels On The Performance Of Mimo Underwater Communication Systems, Jesse Cross, Jian Zhang, Yahong Rosa Zheng

Electrical and Computer Engineering Faculty Research & Creative Works

The spatial and intertap correlation matrices of fading channels are first estimated for underwater multiple input multiple output (MIMO) systems using real experimental data. We confirm that underwater MIMO channels exhibit strong spatial and temporal correlation. the bit error rate (BER) performance of the MIMO system at different correlation scenarios are also evaluated with computer simulation. at BER=0.01%, the required SNR of highly correlated channel is 5 dB higher than the i.i.d. channel. BER results of the experimental data also quantitatively show the performance degradation caused by the correlation. © 2011 IEEE.

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Optimized Built-In Self-Test Technique For Caen-Based Nanofabric Systems, Sambhav Kundaikar, Maciej Zawodniok Dec 2011

Optimized Built-In Self-Test Technique For Caen-Based Nanofabric Systems, Sambhav Kundaikar, Maciej Zawodniok

Electrical and Computer Engineering Faculty Research & Creative Works

We propose a built-in self-test (BIST) technique for testing and diagnosis of molecular electronic based nano fabrics. the nano fabric architectures are reconfigurable in nature thus making it possible to utilize general methods similar to those employed for testing of FPGAs. However, a high defect rate in nano fabrics renders the traditional techniques ill-suited. Moreover, the nano blocks offer potential for using a partially damaged nano block due to inherent redundancy of the architecture. This paper presents the design and analysis of testing configurations and optimization scheme that minimizes testing time while improving the utilization of the nano fabric. the …

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Contingency Constrained Economic Dispatch In Smart Grids With Correlated Demands, Yiyu Shi, Jinjun Xiong Dec 2011

Contingency Constrained Economic Dispatch In Smart Grids With Correlated Demands, Yiyu Shi, Jinjun Xiong

Electrical and Computer Engineering Faculty Research & Creative Works

Contingency constrained economic dispatch has been an extensively studied research topic. However, most existing works assume that the load demands at all buses are given. Such an assumption works well for conventional power grids, where the load demands are relatively easy to predict. We can select a few representative demand profiles and perform economic dispatch over them. However, such a practice will no longer work in smart grids, where the load demands fluctuate dramatically. We will need a huge number of demand profiles to cover all possible scenarios, which is computationally expensive. to address the problem, we propose a parameterized …

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