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- Keyword
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- Active Disturbance Rejection Controller (1)
- Biogeography Based Optimization (1)
- Biogeography-based optimization; Evolutionary algorithms; Population distribution; Markov chain; Real-world optimization problems (1)
- Biomarker detection (1)
- Byzantine fault tolerance; BFT; multi-tiered applications; web services; service-oriented computing; trustworthy computing. (1)
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- Channel scanning (1)
- Control Theory (1)
- Early detection (1)
- Electrostatic Micromechanical Actuator (1)
- Handoff (1)
- Hydraulic Knee Prosthesis (1)
- Immunosensor (1)
- Kalman filters; Unbiased FIR filters; Smoothing; Filtering; Robust estimation (1)
- Mobility prediction (1)
- Psa detection (1)
- Pull-in limit (1)
- Sensor Noise (1)
- Set-point tracking (1)
- Supercapacitor; Ultracapacitor; Capacitor sheet; Flexible supercapacitor; Hybrid supercapacitor; Nanomaterial (1)
- Time series analysis. (1)
- Ultrasensitive biosensing (1)
- Unbiased FIR estimator; Kalman filter; Iterative algorithm; Filtering; Smoothing; Prediction (1)
- Wireless LANs (1)
Articles 1 - 13 of 13
Full-Text Articles in Engineering
Scanless Fast Handoff Technique Based On Global Path Cache For Wlans, Weetit Wanalertlak, Ben Lee, Chansu Yu
Scanless Fast Handoff Technique Based On Global Path Cache For Wlans, Weetit Wanalertlak, Ben Lee, Chansu Yu
Electrical and Computer Engineering Faculty Publications
Wireless LANs (WLANs) have been widely adopted and are more convenient as they are inter-connected as wireless campus networks and wireless mesh networks. However, timesensitive multimedia applications, which have become more popular, could suffer from long end-to-end latency in WLANs.This is due mainly to handoff delay, which in turn is caused by channel scanning. This paper proposes a technique called Global Path-Cache (GPC) that provides fast handoffs in WLANs.GPC properly captures the dynamic behavior of the network andMSs, and provides accurate next AP predictions to minimize the handoff latency. Moreover, the handoff frequencies are treated as time-series data, thus GPC …
On The Equivalences And Differences Of Evolutionary Algorithms, Haiping Maa, Dan Simon, Minrui Feic, Zixiang Chen
On The Equivalences And Differences Of Evolutionary Algorithms, Haiping Maa, Dan Simon, Minrui Feic, Zixiang Chen
Electrical and Computer Engineering Faculty Publications
Evolutionary algorithms (EAs) are fast and robust computation methods for global optimization, and have been widely used in many real-world applications. We first conceptually discuss the equivalences of various popular EAs including genetic algorithm (GA), biogeography-based optimization (BBO), differential evolution (DE), evolution strategy (ES) and particle swarm optimization (PSO). We find that the basic versions of BBO, DE, ES and PSO are equal to the GA with global uniform recombination (GA/GUR) under certain conditions. Then we discuss their differences based on biological motivations and implementation details, and point out that their distinctions enhance the diversity of EA research and applications. …
Unified Forms For Kalman And Finite Impulse Response Filtering And Smoothing, Daniel J. Simon, Yuriy S. Shmaliy
Unified Forms For Kalman And Finite Impulse Response Filtering And Smoothing, Daniel J. Simon, Yuriy S. Shmaliy
Electrical and Computer Engineering Faculty Publications
The Kalman filter and smoother are optimal state estimators under certain conditions. The Kalman filter is typically presented in a predictor/corrector format, but the Kalman smoother has never been derived in that format. We derive the Kalman smoother in a predictor/corrector format, thus providing a unified form for the Kalman filter and smoother. We also discuss unbiased finite impulse response (UFIR) filters and smoothers, which can provide a suboptimal but robust alternative to Kalman estimators. We derive two unified forms for UFIR filters and smoothers, and we derive lower and upper bounds for their estimation error covariances.
An Active Disturbance Rejection Based Approach To Vibration Suppression In Two‐Inertia Systems, Shen Zhao, Zhiqiang Gao
An Active Disturbance Rejection Based Approach To Vibration Suppression In Two‐Inertia Systems, Shen Zhao, Zhiqiang Gao
Electrical and Computer Engineering Faculty Publications
This study concerns the resonance problems found in motion control, typically described in a two‐inertia system model as compliance between the motor and the load. We reformulate the problem in the framework of active disturbance rejection control (ADRC), where the resonance is assumed to be unknown and treated as disturbance, estimated and mitigated. This allows the closed‐loop bandwidth to go well beyond the resonant frequency, which is quite difficult using existing methods. In addition, such level of performance is achieved with minimum complexity in the controller design and tuning: no parameter estimation or adaptive algorithm is needed, and the controller …
Robust Controller Design For An Electrostatic Micromechanical Actuator, Lili Dong, Jason Edwards
Robust Controller Design For An Electrostatic Micromechanical Actuator, Lili Dong, Jason Edwards
Electrical and Computer Engineering Faculty Publications
In this paper, a robust feedback controller is developed on an electrostatic micromechanical actuator to extend the travel range of it beyond pull-in limit. The actuator system is linearized at multiple operating points, and the controller is constructed based on the linearized model. Two kinds of controller designs are developed for set-point tracking of the actuator despite the presences of sensor noise and external disturbance. One of them is a regular fourth order Active Disturbance Rejection Controller (ADRC) and is able to achieve 97% of the maximum travel range. And the other one is a novel multi-loop controller with a …
Variations Of Biogeography-Based Optimization And Markov Analysis, Haiping Ma, Daniel J. Simon, Minrui Fei, Zhikun Xie
Variations Of Biogeography-Based Optimization And Markov Analysis, Haiping Ma, Daniel J. Simon, Minrui Fei, Zhikun Xie
Electrical and Computer Engineering Faculty Publications
Biogeography-based optimization (BBO) is a new evolutionary algorithm that is inspired by biogeography. Previous work has shown that BBO is a competitive optimization algorithm, and it demonstrates good performance on various benchmark functions and real-world optimization problems. Motivated by biogeography theory and previous results, three variations of BBO migration are introduced in this paper. We refer to the original BBO algorithm as partial immigration-based BBO. The new BBO variations that we propose are called total immigration-based BBO, partial emigration-based BBO, and total emigration-based BBO. Their corresponding Markov chain models are also derived based on a previously-derived BBO Markov model. The …
Iterative Unbiased Fir State Estimation: A Review Of Algorithms, Yuriy S. Shmaliy, Daniel J. Simon
Iterative Unbiased Fir State Estimation: A Review Of Algorithms, Yuriy S. Shmaliy, Daniel J. Simon
Electrical and Computer Engineering Faculty Publications
In this paper, we develop in part and review various iterative unbiased finite impulse response (UFIR) algorithms (both direct and two-stage) for the filtering, smoothing, and prediction of time-varying and time-invariant discrete state-space models in white Gaussian noise environments. The distinctive property of UFIR algorithms is that noise statistics are completely ignored. Instead, an optimal window size is required for optimal performance. We show that the optimal window size can be determined via measurements with no reference. UFIR algorithms are computationally more demanding than Kalman filters, but this extra computational effort can be alleviated with parallel computing, and the extra …
Flexible Supercapacitor Sheets Based On Hybrid Nanocomposite Materials, Qiang Liu, Osama Nayfeh, Munir H. Nayfeh, Siu-Tung Yau
Flexible Supercapacitor Sheets Based On Hybrid Nanocomposite Materials, Qiang Liu, Osama Nayfeh, Munir H. Nayfeh, Siu-Tung Yau
Electrical and Computer Engineering Faculty Publications
Nanomaterials with quasi-zero, one and two dimensionalities, including silicon nanoparticles, carbon nanotubes, titanium oxide particles and graphene flakes, have been incorporated into the conducting polymer polyaniline to form nanocomposite materials for making flexible supercapacitor sheets. Characterization of the capacitor sheets showed that the inclusion of the nanomaterials in polyaniline has significantly improved the energy and power capabilities of the capacitor. In particular, a specific capacitance of 477.1 F/g has been obtained. The important properties of carbon nanotubes of improving the charge storage and reducing the resistance of the nanocomposite material and hence to enhance the power capability of the capacitor …
Biogeography-Based Optimization For Hydraulic Prosthetic Knee Control, Tim Wilmot, George Thomas, Berney Montavon, Rick Rarick, Antonie J. Van Den Bogert, Steve Szatmary, Daniel J. Simon, William Smith, Sergey Samorezov
Biogeography-Based Optimization For Hydraulic Prosthetic Knee Control, Tim Wilmot, George Thomas, Berney Montavon, Rick Rarick, Antonie J. Van Den Bogert, Steve Szatmary, Daniel J. Simon, William Smith, Sergey Samorezov
Electrical and Computer Engineering Faculty Publications
We discuss open-loop control development and simulation results for a newly-developed cyber-physical system (CPS) used as a semi-active, above-knee prosthesis. The control signal of our CPS consists of two hydraulic valve settings that control a linear cylinder actuator and provide torque to the prosthetic knee. We develop open-loop control using biogeography-based optimization (BBO), which is a recently developed evolutionary algorithm. The research contributes to the field of cyber-physical systems by showing that it is possible to find effective open-loop control signals for our newly proposed semi-active hydraulic knee prosthesis through a dual-system optimization process which includes both human and robot …
Byzantine Fault Tolerance For Session-Oriented Multi-Tiered Applications, Hua Chai, Wenbing Zhao
Byzantine Fault Tolerance For Session-Oriented Multi-Tiered Applications, Hua Chai, Wenbing Zhao
Electrical and Computer Engineering Faculty Publications
This article presents a lightweight Byzantine fault tolerance (BFT) framework for session-oriented multi-tiered applications. We conclude that it is sufficient to use a lightweight BFT algorithm instead of a traditional BFT algorithm, based on a comprehensive study of the threat model to, and the state model of, the session-oriented multi-tiered applications. The lightweight BFT algorithm uses source ordering, rather than total ordering, of incoming requests to achieve Byzantine fault tolerant state-machine replication of such type of applications. The performance of the lightweight BFT framework is evaluated using a shopping cart application prototype built on the web services platform. The same …
Detection Of Prostate Specific Antigen In Serum At The Femto-Gram Per Milliliter Level Using The Intrinsic Amplification Of A Field-Effect Enzymatic Immuno-Sensing System, Jiapeng Wang, Siu-Tung Yau
Detection Of Prostate Specific Antigen In Serum At The Femto-Gram Per Milliliter Level Using The Intrinsic Amplification Of A Field-Effect Enzymatic Immuno-Sensing System, Jiapeng Wang, Siu-Tung Yau
Electrical and Computer Engineering Faculty Publications
Ultrasensitive detection of prostate specific antigen (PSA) has been achieved by applying the field-effectenzymatic detection (FEED) technique to the sandwich immuno-sensing technique. The voltage-controlled intrinsic amplification provided by FEED enabled the detection of PSA contained in serumon the femto-gram/mL level. Two electrochemical approaches used to obtain the amperometric detec-tion signal resulted in similar detection limits and sensitivities. The lowest PSA detection limit achievedwas 27 fg mL-1. The high selectivity of the detection system was reflected in the fact that PSA detectionwas successful on the fg mL-1level, where biological substances other than PSA had a 1-million-foldhigher concentration. Electron transfer through the …
Voltage-Controlled Enzyme-Catalyzed Glucose–Gluconolactone Conversion Using A Field-Effect Enzymatic Detector, Siu-Tung Yau, Yan Xu, Yang Song, Ye Feng, Jiapeng Wanga
Voltage-Controlled Enzyme-Catalyzed Glucose–Gluconolactone Conversion Using A Field-Effect Enzymatic Detector, Siu-Tung Yau, Yan Xu, Yang Song, Ye Feng, Jiapeng Wanga
Electrical and Computer Engineering Faculty Publications
The field-effect enzymatic detection (FEED) technique was used to control the kinetics of the enzymatic conversion of glucose to gluconolactone. The glucose–gluconolactone conversion occurring at an enzyme-immobilized electrode, a well-studied process, was confirmed using mass spectrometry. Electrochemical studies showed that the glucose oxidation current depends on the gating voltage VG and the ion concentration of the sample solution. Additionally, the depletion of glucose in the sample also showed a dependence on VG. FEED was used to detect H2O2 on the zepto-molar level in order to show the ultrasensitive detection capability of the technique. These results, while providing evidence for the …
Complex System Optimization Using Biogeography-Based Optimization, Dawei Du, Dan Simon
Complex System Optimization Using Biogeography-Based Optimization, Dawei Du, Dan Simon
Electrical and Computer Engineering Faculty Publications
Complex systems are frequently found in modern industry. But with their multisubsystems, multiobjectives, and multiconstraints, the optimization of complex systems is extremely hard. In this paper, a new algorithm adapted from biogeography-based optimization (BBO) is introduced for complex system optimization. BBO/Complex is the combination of BBO with a multiobjective ranking system, an innovative migration approach, and effective diversity control. Based on comparisons with three complex system optimization algorithms (multidisciplinary feasible (MDF), individual discipline feasible (IDF), and collaborative optimization (CO)) on four real-world benchmark problems, BBO/Complex demonstrates competitive performance. BBO/Complex provides the best performance in three of the benchmark problems and …