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Articles 1651 - 1680 of 3518
Full-Text Articles in Engineering
Stochastic Optimal Control Design For Nonlinear Networked Control System Via Neuro Dynamic Programming Using Input-Output Measurements, Hao Xu, Sarangapani Jagannathan
Stochastic Optimal Control Design For Nonlinear Networked Control System Via Neuro Dynamic Programming Using Input-Output Measurements, Hao Xu, Sarangapani Jagannathan
Electrical and Computer Engineering Faculty Research & Creative Works
Neuro dynamic programming (NDP) techniques for optimal control of nonlinear network control system (NNCS) are not addressed in the literature. Therefore, in this paper, a novel NNCS representation incorporating the unknown system uncertainties and network imperfections is introduced first by using input and output measurements. Then, an online neural network (NN) identifier is introduced to estimate the control coefficient matrix. Subsequently, the critic NN and action NN are employed along with the NN identifier to determine the forward-in-time, time-Based stochastic optimal control of NNCS without using value and policy iterations. Instead, value function and control inputs are updated at every …
Thermal-Aware Cell And Through-Silicon-Via Co-Placement For 3d Ics, Jason Cong, Guojie Luo, Yiyu Shi
Thermal-Aware Cell And Through-Silicon-Via Co-Placement For 3d Ics, Jason Cong, Guojie Luo, Yiyu Shi
Electrical and Computer Engineering Faculty Research & Creative Works
Existing thermal-aware 3D placement methods assume that the temperature of 3D ICs can be optimized by properly distributing the power dissipations and ignoring the heat conductivity of though-silicon-vias (TSVs). However, our study indicates that this is not exactly correct. While considering the thermal effect of TSVs during placement appears to be quite complicated, we are able to prove that when the TSV area in each bin is proportional to the lumped power consumption in that bin, together with the bins in all the tiers directly above it, the peak temperature is minimized. based on this criterion, we implement a thermal-aware …
Robust Integral Of Neural Network And Sign Of Tracking Error Control Of Uncertain Nonlinear Affine Systems Using State And Output Feedback, Qinmin Yang, Sarangapani Jagannathan, Youxian Sun
Robust Integral Of Neural Network And Sign Of Tracking Error Control Of Uncertain Nonlinear Affine Systems Using State And Output Feedback, Qinmin Yang, Sarangapani Jagannathan, Youxian Sun
Electrical and Computer Engineering Faculty Research & Creative Works
This paper presents a novel state and output feedback control law for the tracking control of a class of multi-input-multi-output (MIMO) continuous time nonlinear systems with unknown dynamics and disturbance input. First the state feedback-based control law is designed which consists of the robust integral of a neural network (NN) output plus the sign of the tracking error signal multiplied with an adaptive gain. the two-layer NN learns the system dynamics in an online manner while the NN residual reconstruction errors and the bounded system disturbances are overcome by the error sign signal. Both of the NN output and error …
Ultra-Abrupt Tapered Fiber Mach-Zehnder Interferometer Sensors, B. Li, J. Lan, W. Sumei, L. Zhou, Hai Xiao, Hai-Lung Tsai
Ultra-Abrupt Tapered Fiber Mach-Zehnder Interferometer Sensors, B. Li, J. Lan, W. Sumei, L. Zhou, Hai Xiao, Hai-Lung Tsai
Electrical and Computer Engineering Faculty Research & Creative Works
A fiber inline Mach-Zehnder interferometer (MZI) consisting of ultra-abrupt fiber tapers was fabricated through a new fusion-splicing method. By fusion-splicing, the taper diameter-length ratio is around 1:1, which is much greater than those (1:10) made by stretching. The proposed fabrication method is very low cost, 1/20-1/50 of those of LPFG pair MZI sensors. The fabricated MZIs are applied to measure refractive index, temperature and rotation angle changes. The temperature sensitivity of the MZI at a length of 30 mm is 0.061 nm/°C from 30-350 °C. The proposed MZI is also used to measure rotation angles ranging from 0° to 0.55°; …
Automatic Segmentation Of Subfigure Image Panels For Multimodal Biomedical Document Retrieval, Beibei Cheng, Sameer K. Antani, R. Joe Stanley, George R. Thoma
Automatic Segmentation Of Subfigure Image Panels For Multimodal Biomedical Document Retrieval, Beibei Cheng, Sameer K. Antani, R. Joe Stanley, George R. Thoma
Electrical and Computer Engineering Faculty Research & Creative Works
Biomedical images are often referenced for clinical decision support (CDS), educational purposes, and research. The task of automatically finding the images in a scientific article that are most useful for the purpose of determining relevance to a clinical situation is traditionally done using text and is quite challenging. We propose to improve this by associating image features from the entire image and from relevant regions of interest with biomedical concepts described in the figure caption or discussion in the article. However, images used in scientific article figures are often composed of multiple panels where each sub-figure (panel) is referenced in …
Frequency Domain Turbo Equalization For No-Cp Single-Carrier Mimo Underwater Acoustic Communications, Longbao Wang, Jun Tao, Yahong Rosa Zheng
Frequency Domain Turbo Equalization For No-Cp Single-Carrier Mimo Underwater Acoustic Communications, Longbao Wang, Jun Tao, Yahong Rosa Zheng
Electrical and Computer Engineering Faculty Research & Creative Works
This paper proposes a frequency-domain turbo detection scheme for single-carrier, multiple-input, multiple output (MIMO) underwater acoustic (UWA) transmission without using cyclic prefix (CP), aiming to achieve a low detection complexity and a high transmission efficiency simultaneously. The received data stream is divided into consecutive blocks, and each block is equalized in the frequency domain. to enable the frequency-domain equalization, inter-block-interference (IBI) cancellation and CP reconstruction are necessary for each block. the IBI is removed by using the currently estimated channel and the detected symbols from the previous block. the CP reconstruction for the current iteration of the turbo equalization is …
Neural Network-Based Optimal Control For Trajectory Tracking Of A Helicopter Uav, David Nodland, H. Zargarzadeh, S. Jagannathan
Neural Network-Based Optimal Control For Trajectory Tracking Of A Helicopter Uav, David Nodland, H. Zargarzadeh, S. Jagannathan
Electrical and Computer Engineering Faculty Research & Creative Works
Helicopter unmanned aerial vehicles (UAVs) may be widely used for both military and civilian operations. Because these helicopters are underactuated nonlinear mechanical systems, high-performance controller design for them presents a challenge. This paper presents an optimal controller design for trajectory tracking of a helicopter UAV using a neural network (NN). the state-feedback control system utilizes the backstepping methodology, employing kinematic and dynamic controllers. the online approximator-Based dynamic controller learns the infinite-horizon Hamilton-Jacobi-Bellman (HJB) equation in continuous time and calculates the corresponding optimal control input to minimize the HJB equation forward-in-time. Optimal tracking is accomplished with a single NN utilized for …
Editorial, Mauro Forti, Paolo Nistri, Vittal S. Rao
Editorial, Mauro Forti, Paolo Nistri, Vittal S. Rao
Electrical and Computer Engineering Faculty Research & Creative Works
No abstract provided.
Reducing Dimensionality Of Hyperspectral Data With Diffusion Maps And Clustering With K-Means And Fuzzy Art, Louis Du Plessis, Rui Xu, Steven Damelin, Michael Sears, Donald C. Wunsch
Reducing Dimensionality Of Hyperspectral Data With Diffusion Maps And Clustering With K-Means And Fuzzy Art, Louis Du Plessis, Rui Xu, Steven Damelin, Michael Sears, Donald C. Wunsch
Electrical and Computer Engineering Faculty Research & Creative Works
It is very difficult to analyse large amounts of hyperspectral data. Here we present a method based on reducing the dimensionality of the data and clustering the result in moving toward classification of the data. Dimensionality reduction is done with diffusion maps, which interpret the eigenfunctions of Markov matrices as a system of coordinates on the original dataset in order to obtain an efficient representation of data geometric descriptions. Clustering is done using k-means and a neural network clustering theory, Fuzzy ART (FA). The process is done on a subset of core data from AngloGold Ashanti, and compared to results …
Hierarchical Mission Management, Emad William Saad, John Lyle Vian, Ryan J. Meuth, Donald C. Wunsch
Hierarchical Mission Management, Emad William Saad, John Lyle Vian, Ryan J. Meuth, Donald C. Wunsch
Electrical and Computer Engineering Faculty Research & Creative Works
The different advantageous embodiments further provide a system for hierarchical mission management comprising a number of mission planners, a data processing system, and a communication system. The number of mission planners are associated with a number of agent groups. The data processing system is configured to execute the number of mission planners. The communication system is configured to provide communication between the number of mission planners.
Tsv Fault-Tolerant Mechanisms With Application To 3d Clock Networks, Chiao Ling Lung, Jui Hung Chien, Yiyu Shi, Shih Chieh Chang
Tsv Fault-Tolerant Mechanisms With Application To 3d Clock Networks, Chiao Ling Lung, Jui Hung Chien, Yiyu Shi, Shih Chieh Chang
Electrical and Computer Engineering Faculty Research & Creative Works
Three-dimensional integrated circuit (3D IC) has become an emerging technology in view of its advantages in packing density and flexibility in heterogeneous integration. through Silicon Via (TSV) formation is one of the keys enabling technologies for 3D ICs. While TSVs provide vertical connections between different dies for higher performance, they suffer from random open defects and thermo-mechanical stress. the potential yield loss can significantly increase the mass production cost, which in turn affects the profitability of 3D ICs. to address the TSV reliability issues, double TSV, shared spare TSV and TSV fault tolerant unit (TFU) techniques have been developed. in …
Multilayer Network Resilience Analysis And Experimentation On Geni, Justin P. Rohrer, Egemen K. Çetinkaya, James P. G. Sterbenz
Multilayer Network Resilience Analysis And Experimentation On Geni, Justin P. Rohrer, Egemen K. Çetinkaya, James P. G. Sterbenz
Electrical and Computer Engineering Faculty Research & Creative Works
GENI is evolving to provide a promising environment in which to do experimental research in the resilience and survivability of future networks, by allowing programmable control over topology and mechanism, while providing the scale and global reach needed to conduct network experiments far beyond the capabilities of a conventional testbed. We will use GENI in general, and the GpENI infrastructure (expanding to 40 clusters with 200 nodes worldwide), federated with the larger GENI PlanetLab control framework and interconnected to several ProtoGENI facilities to perform resilience and survivability experiments at scale, both in terms of node count and with the geographic …
Soft Feedback Turbo Equalization For Underwater Acoustic Communications, Amirhossein Rafati, Huang Lou, Yahong Rosa Zheng, Chengshan Xiao
Soft Feedback Turbo Equalization For Underwater Acoustic Communications, Amirhossein Rafati, Huang Lou, Yahong Rosa Zheng, Chengshan Xiao
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper, a low-complexity turbo detection scheme is proposed for single-carrier multiple-input multiple output (MIMO) underwater acoustic (UWA) communications that employs low-density parity-check (LDPC) channel coding. the proposed iterative soft feedback equalization (SFE) algorithm offers a novel approach to combating error propagation by utilizing the past soft decisions to mitigate inter-symbol interference. in addition, its computational complexity grows only linearly with the number of equalizer coefficients, compared to the quadratic complexity of minimum mean square error-Based linear turbo equalizer. Performance of the proposed detection scheme is verified through experimental data collected in MACE10. Experimental results show that it provides …
Fault-Tolerant 3d Clock Network, Chiao Ling Lung, Yu Shih Su, Shih Hsiu Huang, Yiyu Shi, Shih Chieh Chang
Fault-Tolerant 3d Clock Network, Chiao Ling Lung, Yu Shih Su, Shih Hsiu Huang, Yiyu Shi, Shih Chieh Chang
Electrical and Computer Engineering Faculty Research & Creative Works
Clock tree synthesis is one of the most important and challenging problems in 3D ICs. the clock signals have to be delivered by through-silicon vias (TSVs) to different tiers with minimum skew and latency. While there are a few related works in literature, none of them considers the reliability of TSVs. Accordingly, the failure of any TSV in the clock tree yields a bad chip. the naive solution using double-TSV can alleviate the problem. But the significant area overhead renders it less practical for large designs. in this paper, we propose a novel TSV fault-tolerant unit (TFU) that can provide …
A Semantic Agent Framework For Cyber-Physical Systems, Jing Lin, Sahra Sedigh, Ann K. Miller
A Semantic Agent Framework For Cyber-Physical Systems, Jing Lin, Sahra Sedigh, Ann K. Miller
Electrical and Computer Engineering Faculty Research & Creative Works
The development of accurate models for cyber-physical systems (CPSs) is hampered by the complexity of these systems, fundamental differences in the operation of cyber and physical components, and significant interdependencies among these components. Agent-based modeling shows promise in overcoming these challenges, due to the flexibility of software agents as autonomous and intelligent decision-making components. Semantic agent systems are even more capable, as the structure they provide facilitates the extraction of meaningful content from the data provided to the software agents. In this book chapter, we present a multi-agent model for a CPS, where the semantic capabilities are underpinned by sensor …
Adaptive Routing Scheme For Emerging Wireless Ad Hoc Networks, Behdis Eslamnour, Sarangapani Jagannathan
Adaptive Routing Scheme For Emerging Wireless Ad Hoc Networks, Behdis Eslamnour, Sarangapani Jagannathan
Electrical and Computer Engineering Faculty Research & Creative Works
Node mobility causes fading wireless channels, which in turn renders topology changes in emerging wireless ad hoc networks. in this paper, on-line estimators and Markov models are utilized to estimate fading channel conditions. using the estimated channel conditions as well as queue occupancy, available energy and link delay, approximate dynamic programming (ADP) techniques are utilized to find dynamic routes, while solving discrete-time Hamilton-Jacobi-Bellman (HJB) equation forward-in-time for route cost in multichannel multi-interface networks. the performance of the proposed load balancing method in the presence of fading channels and the performance of the optimal route selection approach for multichannel multi-interface wireless …
A Memory Saving Vector Fast Multipole Algorithm For Solving The Augmented Efie, Yang G. Liu, Weng Cho Chew, Li (Lijun) Jun Jiang
A Memory Saving Vector Fast Multipole Algorithm For Solving The Augmented Efie, Yang G. Liu, Weng Cho Chew, Li (Lijun) Jun Jiang
Electrical and Computer Engineering Faculty Research & Creative Works
An augmented EFIE (A-EFIE)[9], [10] has been proposed to separate the contributions of the vector potential and the scalar potential for avoiding the imbalance at low frequencies. The corresponding low frequency fast multipole algorithm (LFFMA) [11] was also developed for solving the A-EFIE. Instead of the factorization of the scalar Green's function by using scalar addition theorem in the LF-FMA, we adopt the vector addition theorem for the factorization of the dyadic Green's function to realize memory savings. We are to develop a vector fast multipole algorithm for solving the A-EFIE. © 2010 IEEE.
Indirect Adaptive Control Of An Active Filter Using Echo State Networks, Jing Dai, Ganesh K. Venayagamoorthy, Ronald G. Harley, Keith A. Corzine
Indirect Adaptive Control Of An Active Filter Using Echo State Networks, Jing Dai, Ganesh K. Venayagamoorthy, Ronald G. Harley, Keith A. Corzine
Electrical and Computer Engineering Faculty Research & Creative Works
An active filter is a power electronic device used in a power system to decrease "harmonic current pollution" caused by nonlinear loads. the Echo State Network (ESN) has been widely used as an effective system identifier with much faster training speed than the other Recurrent Neural Networks (RNNs). However, only a few attempts have been made to use an ESN as a system controller. as the first attempt to use an ESN in indirect NeuroControl, this paper proposes an indirect adaptive NeuroControl scheme using two ESNs to control an active filter in a multiple-reference frame. as the first step in …
A Novel Phase-Locked-Loop And Its Application In Statcom System, L. Shi, Mariesa L. Crow
A Novel Phase-Locked-Loop And Its Application In Statcom System, L. Shi, Mariesa L. Crow
Electrical and Computer Engineering Faculty Research & Creative Works
Phase-Locked-Loop (PLL) plays important role in grid connected power electronics system. a good PLL system can detect the grid phase angle and frequency fast and accurately, and additionally it can extract the positive sequence exactly. in real applications, source signal (voltage or current) usually includes harmonic distortion, unbalanced components. Conventional PLL strategy cannot solve the unbalanced and harmonic distortion problems. Different PLL solutions are proposed in literature in recent years. the general considerations for these different approaches are to design positive sequence estimator to eliminate the negative sequence components and use filters to filter out the higher order harmonic distortions. …
Distributed Grid Intelligence For Future Microgrid With Renewable Sources And Storage, Fanjun Meng, Ravi Akella, Mariesa L. Crow, Bruce Mcmillin
Distributed Grid Intelligence For Future Microgrid With Renewable Sources And Storage, Fanjun Meng, Ravi Akella, Mariesa L. Crow, Bruce Mcmillin
Electrical and Computer Engineering Faculty Research & Creative Works
The FREEDM microgrid is a smart grid solution with Distributed Grid Intelligence (DGI) to efficiently manage the power distribution and storage of renewable energy. within the FREEDM system, DGI applies distributed control method in a unique way to achieve feasible load balancing in microgrid by migrating power between renewable energy generation and storage at each node. This paper presents the key aspects in implementing such a scheme and outlines the preliminary results obtained by integrating the proposed methodology. the results demonstrate the potential benefits of adopting DGI control on a microgrid.
Implementing Frequency Regulation Capability In A Solar Photovoltaic Power Plant, Venkata Ajay Kumar Pappu, Badrul H. Chowdhury, Ravi Bhatt
Implementing Frequency Regulation Capability In A Solar Photovoltaic Power Plant, Venkata Ajay Kumar Pappu, Badrul H. Chowdhury, Ravi Bhatt
Electrical and Computer Engineering Faculty Research & Creative Works
Photovoltaic power plants pose some challenges when integrated with the power grid. the PV plants always focus on extracting the maximum power from the arrays. This makes the PV system unavailable for helping in regulating the grid frequency as compared to conventional generators. the objective of this paper is to introduce a pseudo power point tracking which provides frequency regulation functionality to PV systems. This method is fast and helps in creating a reserve which can be utilized for frequency stability. Control technique discussed in this paper allows the control over the amount of active power injected into the grid. …
Reconciling Motor Performance Indicators From Theoretical Calculations And Laboratory Tests, Himanshu Hirlekar, Badrul H. Chowdhury, Stephen Ruffing
Reconciling Motor Performance Indicators From Theoretical Calculations And Laboratory Tests, Himanshu Hirlekar, Badrul H. Chowdhury, Stephen Ruffing
Electrical and Computer Engineering Faculty Research & Creative Works
Quite often because of the complexity in the design of large industrial motors, the theoretical motor parameter calculations do not match actual results from laboratory tests. Thus, it becomes important to predict the amount of discrepancy between the two methods to develop confidence in the motor parameter calculations. This paper discusses the development of multiple artificial neural networks (ANNs) designed to predict the ratios of measured parameters to calculated parameters, given the geometry and construction of the motor. These ratios represent correction factors which can be applied to the values calculated from the theoretical program, which, in this case, is …
Education For Renewable Electric Energy Delivery And Management Systems, Mariesa Crow, M. Baran, A. Q. Huang
Education For Renewable Electric Energy Delivery And Management Systems, Mariesa Crow, M. Baran, A. Q. Huang
Electrical and Computer Engineering Faculty Research & Creative Works
The Future Renewable Electric Energy Delivery and Management (FREEDM) Systems Center is a National Science Foundation (NSF) Generation-III Engineering Research Center (ERC) established in 2008 with the mission to develop the fundamental and enabling technologies necessary for a new and paradigm shifting power grid infrastructure, the FREEDM System. the center involves more than fifty professors and one hundred fifty graduate and undergraduate students from five US universities and two international universities, as well as more than sixty companies and national laboratories in 28 states and nine countries. This paper will discuss some of the on-going efforts to educate students to …
Gms Considering Uncertainty In Wind Power In A Wind-Hydrothermal Power System, Y. Yare, Ganesh K. Venayagamoorthy
Gms Considering Uncertainty In Wind Power In A Wind-Hydrothermal Power System, Y. Yare, Ganesh K. Venayagamoorthy
Electrical and Computer Engineering Faculty Research & Creative Works
An optimal preventive generator maintenance scheduling (GMS) in a smart grid environment comprising wind-hydrothermal energy resources is presented in this paper. GMS problem is solved with the aim of maximizing economic benefits subject to satisfying system constraints. This GMS formulation becomes a challenging problem because of the variability and intermittency of wind speed and the incorporation of uncertainty in wind generation. the objective is to perform preventive GMS in such a manner that the annual generation cost is minimized, the annual cost saving is increased while all operating constraints are satisfied in the presence of uncertainty in wind generation. Discrete …
Voltage Prediction Using A Cellular Network, Lisa L. Grant, Ganesh K. Venayagamoorthy
Voltage Prediction Using A Cellular Network, Lisa L. Grant, Ganesh K. Venayagamoorthy
Electrical and Computer Engineering Faculty Research & Creative Works
Better identification tools are needed for power system voltage profile prediction. the power systems of the future will see an increase in both renewable energy sources and load demand increasing the need for quick estimation of bus voltages and line power flows for system security and contingency analysis. a Cellular Simultaneous Recurrent Neural Network (CSRN) to identify and predict bus voltage dynamics is presented in this paper. the benefit of using a cellular structure over traditional neural network architectures is that the network can represent a direct mapping of any power system allowing for easier scalability to large power systems. …
Optimal Tuning Of System Stabilizer Parameters Using Pbil With Adaptive Learning Rate, K. A. Folly, Ganesh K. Venayagamoorthy
Optimal Tuning Of System Stabilizer Parameters Using Pbil With Adaptive Learning Rate, K. A. Folly, Ganesh K. Venayagamoorthy
Electrical and Computer Engineering Faculty Research & Creative Works
This paper presents an optimal tuning of Power System Stabilizers (PSS) for a multi-machine power system using Population-Based Incremental Learning (PBIL) algorithm with adaptive learning rate. the proposed (APBIL) algorithm can adjust the learning rate automatically according to the degree of evolution of the search. the objective of the design is to achieve adequate stability over a wide range of operating conditions. the proposed controller is compared with traditional PBIL with fixed learning rate (PBIL) and tested under various operating conditions. Simulation results show that the APBIL based PSS provides a more efficient search capability and gives a better damping …
Supporting Islanded Microgrid Operations In The Presence Of Intermittent Wind Generation, Nikhil K. Ardeshna, Badrul H. Chowdhury
Supporting Islanded Microgrid Operations In The Presence Of Intermittent Wind Generation, Nikhil K. Ardeshna, Badrul H. Chowdhury
Electrical and Computer Engineering Faculty Research & Creative Works
Although microgrids have the potential to solve several sticky problems that beset the present-day grid, indiscriminate application can cause serious problems. Thorough studies are needed on many aspects to identify the potential problems and to develop effective mitigation techniques. Microgrids can operate in parallel with the main grid or as an isolated system to support customers isolated from the grid. during parallel operations, the microgrid supplies only a fraction of the power demand of the grid. However, in islanded operations, the microgrid must continue to supply 100% of power to the customers. Both types of operations are studied to identify …
Study Of Solid State Fault Interruption Device For Medium Voltage Distribution Systems With Distributed Generators, Mehul K. Madan, Badrul H. Chowdhury
Study Of Solid State Fault Interruption Device For Medium Voltage Distribution Systems With Distributed Generators, Mehul K. Madan, Badrul H. Chowdhury
Electrical and Computer Engineering Faculty Research & Creative Works
Solid state fault interruption devices (FID) can interrupt fault currents much faster than the presently available circuit breakers. Due to their current inability to block system level voltages, presently available semiconductor devices are connected in series to increase blocking capability of the fault interrupting device. to verify the ability of the interruption device for use in a medium voltage distribution system, a FID model is subjected to simulated tests for continuous current carrying capability, rated fault current interruption, and lightning impulse withstand tests. a simulation to demonstrate the ability of the FID to interrupt fault currents in a 7.2kV distribution …
Feedback Linearization Internal Control For The Unified Power Flow Controller, Keyou Wang, Mariesa L. Crow
Feedback Linearization Internal Control For The Unified Power Flow Controller, Keyou Wang, Mariesa L. Crow
Electrical and Computer Engineering Faculty Research & Creative Works
This paper presents feedback linearization-based controller design methodology for a unified power flow controller (UPFC) to achieve rapid reference signal tracking in the internal level. Feedback linearization control (FBLC) is a nonlinear technique based on differential geometry theory and overcomes the drawback of traditional PI control linearizing at one specific operating condition. FBLC is applied on UPFC dynamic model via an appropriate coordinate transformation and LQR control is then applied on the transferred linear system. the proposed control is validated on the IEEE 118-bus system with full-order generator and network models. ©2010 IEEE.
Robust Neural Network Rise Observer Based Fault Diagnostics And Prediction, James W. Fonda, S. (Sarangapani) Jagannathan, Steve Eugene Watkins
Robust Neural Network Rise Observer Based Fault Diagnostics And Prediction, James W. Fonda, S. (Sarangapani) Jagannathan, Steve Eugene Watkins
Electrical and Computer Engineering Faculty Research & Creative Works
A novel fault diagnostics and prediction scheme in continuous time is introduced for a class of nonlinear systems. The proposed method uses a novel neural network (NN) based robust integral sign of the error (RISE) observer, or estimator, allowing for semi-global asymptotic stability in the presence of NN approximation errors, disturbances and unmodeled dynamics. This is in comparison to typical results presented in the literature that show only boundedness in the presence of uncertainties. The output of the observer/estimator is compared with that of the nonlinear system and a residual is used for declaring the presence of a fault when …