- Stability and Control of Uncertain Systems
- Microgrid Control and Optimization
- Stability and Controllability of Differential Equations
- Smart Grid Energy Management
- Power System Optimization and Stability
- Wireless Communication Networks Research
- Advanced Wireless Communication Techniques
- Smart Grid Security and Resilience
- Optimal Power Flow Distribution
- Advanced Control Systems Optimization
- Distributed Sensor Networks and Detection Algorithms
- Building Energy and Comfort Optimization
- Target Tracking and Data Fusion in Sensor Networks
- Control Systems and Identification
- Wind Turbine Control Systems
- Advanced Wireless Network Optimization
- HVDC Systems and Fault Protection
- Numerical methods for differential equations
- Matrix Theory and Algorithms
- Indoor and Outdoor Localization Technologies
- Advanced MIMO Systems Optimization
- Neural Networks Stability and Synchronization
- Medical Image Segmentation Techniques
- Millimeter-Wave Propagation and Modeling
- Optimization and Variational Analysis
University of Tennessee at Knoxville
2015-2024
Knoxville College
2014-2019
Khalifa University of Science and Technology
2017
Oak Ridge National Laboratory
2017
University of Tennessee Medical Center
2005
University of Cyprus
2005
University of Arkansas at Little Rock
2001-2004
United States Air Force Research Laboratory
2002
National Academies of Sciences, Engineering, and Medicine
2002
Université de Montpellier
1998
In this paper, a new approach to design fault-tolerant wide-area damping controllers (WADCs) is presented. Use of actuator redundancy achieve higher reliability has always been an accepted engineering technique and used in study help ensure power system security. our proposed method when fails or unavailable (e.g., due loss communication), the supervisory controller redistributes control signals remaining actuators. The WADC initially designed provide satisfactory damping. next step, virtual...
Tensegrity systems have been known for almost half a century. Their mechanical and geometrical characteristics make them suitable to terrestrial extraterrestrial applications. This paper describes numerical scheme of active control tensegrity in An algorithm based on instantaneous optimal has developed applied an assembly elementary cells. The whole structural system comprises four cells forming linear structure with 27 cables 12 struts. Active is realized the first simulation by means three...
Use of actuator redundancy to achieve higher reliability is a widely accepted engineering design technique and used in this study build resiliency ensure power system stability the presence high levels renewables. This paper presents new method for fault-tolerant wide-area damping controllers (WADCs) using modal-based control allocation (MB-CA), which coordinates set actuators contribute inter-area oscillations. In our proposed method, when an fails or unavailable (e.g., due communication...
Frequency performance has been a crucial issue for islanded microgrids. On the one hand, most distributed energy resources are converter-interfaced and do not inherently respond to frequency variations. other current inertia emulation approach cannot provide guaranteed response. In this paper, model reference control based strategy is proposed diesel-wind systems. Desired can be precisely emulated through strategy. A typical response with parametric set model. measurement at specific...
Cognitive radio is a very popular research area in the communication community as cost and bandwidth can be saved by sensing available licensed spectrum for unlicensed users. This paves way application of cognitive control systems over wireless links. A typical system comprises sensor interconnected with an actuator, plant controller. In this paper, it assumed that estimator communicate through link. The state needs to adjust new media affected interruptions from primary users, resulting...
In this paper, we discuss the modeling and prediction of power frequency. Power frequency is one most essential parameters in monitoring, control, protection systems electric equipments because when a significant disturbance occurs system, varies time space. It critical to employ dependable model order optimize efficiency reliability Frequency Monitoring Network (FNET ), thus, prevent oscillation grid. This paper describes use state-space basis functions predict method, expectation...
Converter-interfaced power sources (CIPS) are hybrid control systems as they may switch between multiple operating modes. Due to increasing penetration, the behavior of CIPS, such wind turbine generators (WTGs), have significant impact on system dynamics. In this paper, frequency dynamics under inertia emulation and primary support from WTG is studied. A mode switching for ensure adequate response proposed. The instants determined by our proposed concept a region safety (ROS), which initial...
Inadequate frequency response can arise due to a high penetration of wind turbine generators (WTGs) and requires support function be integrated in the WTG. The appropriate design for these controllers ensure adequate has not been investigated thoroughly. In this paper, safety supervisory control (SSC) is proposed synthesize supportive modes WTGs guarantee performance. concept, region (ROS), stated safe switching synthesis. An optimization formula calculate largest ROS. By assuming polynomial...
During the past decades electric power infrastructure has evolved into one of largest and most complex systems due to its extreme dimension, geographic reach high reliability requirements. Maintaining sufficient security margins requires major enhancement existing control. Particular emphasis should be placed on improving ability system survive contingencies, triggered by very unlikely chains events, but capable propagating widespread outages. In this paper, a distributed control scheme is...
Efficient implementation methods are proposed for Chan-Vese models. The do not require solutions of PDEs and therefore fast. advantages level set methods, such as automatic handling topological changes, preserved. These utilize region information to guide the evolution initial curves. Gaussian smoothing is applied regularize evolving algorithms able automatically efficiently segment objects in complicated images. Experimental results show that work images without strong noise. However, they...
This paper presents several methods based on signal strength and wave scattering models for tracking a user. The received-signal level method is first used in combination with maximum likelihood (ML) estimation triangulation to obtain an estimate of the location mobile. Due nonline-of-sight conditions multipath propagation environments, this lacks acceptable accuracy demanding services, as numerical results reveal. 3-D channel model Aulin employed, together recursive nonlinear Bayesian...
Cognitive radio system is an intensively studied area in that it saves money and bandwidth by sensing the available licensed spectrum for unlicensed users. This advantage provides a promising future application of cognitive smart grid. In this paper, we propose to communicate through link between sensors at consumer side control center way, state estimator needs adjust new communication as affected primary governed multiple semi-Markov processes each which can capture model one channel...
One of the key issues in wind energy is control design conversion system to achieve an expected performance under both power and mechanical constraints which are subject stochastic speeds. Quadratic methods widely used literature for such purposes, e.g., linear quadratic Gaussian model predictive control. In this paper, chance considered address behavior speed fluctuation on inputs outputs instead deterministic literature. Also two different models: first one assumes that measurement error...
Mobile-to-mobile networks are characterized by node mobility that makes the propagation environment time varying and subject to fading. As a consequence, statistical characteristics of received signal vary continuously, giving rise Doppler power spectral density (DPSD) which varies from one observation instant next. The current models do not capture track characteristics. This paper is concerned with dynamical modeling mobile-to-mobile channels, parameter estimation identification...
A transition from generation on demand to consumption is one of the solutions overcome many limitations associated with higher penetration renewable energy sources. Such a transition, however, requires considerable amount load flexibility in side. Demand response (DR) programs can reveal and utilize this by enabling participation large number grid-interactive efficient buildings (GEB). Existing approaches DR require significant modelling or training efforts, are computationally expensive, do...
Knowledge-based fault diagnosis methods have become more preferred as they do not need precise model and signal patterns required in model-based signal-based methods, respectively. Machine learning (ML) techniques provide notable results on by mapping information from raw signals to health condition. However, their vulnerabilities against malicious attacks arises other industrial application employing ML methods. In this paper, first, a common white-box adversarial attack called projected...
The power control of wireless networks is formulated using a stochastic optimal framework, in which the evolution channel described by differential equations (SDEs). latter capture spatio-temporal variations communication link, as well randomness. This class models more realistic than static usually encountered literature. Under this scenario, average and probabilistic Quality Service (QoS) measures are introduced to evaluate performance any strategy Chernoff bounds. Moreover, bound computed...
In this paper, the optimal H <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> control problem for spatially invariant systems is considered. The framework adopted borrowed from work pioneered by Voulgaris et al. particular, solved via computation of an orthogonal projection a tensor Hilbert space onto particular subspace. Next, decentralized computing on class Youla parameters with structure. latter uses Riesz projections after invoking L -basis.
We consider the optimal stochastic control problem for home energy systems with solar and storage devices when demand is realized from grid. The subject to Brownian motions both drift variance parameters modulated by a continuous-time Markov chain that represents regime of electricity price. model as pure differential equation models, then we follow completing square technique solve management problem. effectiveness efficiency proposed approach validated through simulation example. For...
Spectrum sensing is essential in cognitive radio to enable dynamic spectrum access. In many scenarios, primary user signal must be detected reliably low signal-to-noise ratio (SNR) regime under required time. We propose use stochastic resonance, a nonlinear filter having certain resonance frequency, detect users when the SNR very low. Both block and sequential detection schemes are studied. Simulation results show that, false alarm rate, both probability average delay can substantially...
Generation portfolio can be significantly altered due to the deployment of distributed energy resources (DER) in distribution networks and concept microgrid. Generally, operate a more resilient economic fashion through proper coordination DER. However, partially uncontrollable stochastic nature some DER, variance net load systems increases, which raises operational cost complicates operation for transmission companies. This motivates peak shaving valley filling using storage units deployed...
The inflammatory responseaims to restore homeostasis by means of removing a biological stress, such as an invading bacterial pathogen.In cases acute systemic inflammation, the possibility collateral tissuedamage arises, which leads necessary down-regulation response.A reduced ordinary differential equations (ODE) model inflammation was presented and investigated in [10]. That system contains multiple positive negative feedback loops is highly coupled nonlinear ODE. implementation predictive...
Wind generation has gained widespread use as a renewable energy source. Most wind turbines and other renewables connected to the grid through converters result in reduction natural inertial response frequency changes. The doubly-fed induction generator (DFIG) can be controlled compensate for this and, fact, provide faster than traditional synchronous machines. This paper proposes design observer based output feedback linear quadratic regulator (LQR) <inline-formula...