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In this paper, a simple and robust speed estimator and Pseudo Derivative Feedback (PDF-PDF) controller are proposed for sensorless PMSM drive to improve its performance at standstill and low speed regions. The speed estimator is formed using stator flux and electromagnetic torque based model reference adaptive system, which performs better during transient conditions and reduces steady state error...
Augmented reality is popular and rapidly growing direction. It is successfully used in medicine, education, engineering and entertainment. In the paper, basic principles of typical augmented reality system are described. An efficient hybrid visual tracking algorithm is proposed. The approach is based on combining of the optical flow technique with direct tracking methods. It is demonstrated that developed...
A robust approach for estimating the expected maximum levels of radiofrequency, time-varying, electromagnetic emissions is proposed. The expected maximum peak value is intended to provide a statistical approximation for the worst case emissions scenario that accounts for the variability of the measured interference. The estimates are obtained through Monte Carlo resampling from a non-parametric distribution...
In this paper we present our developed and evaluated method for the dynamic mapping of the vertical characteristics inside a building. For achieving that, we extract data from smart-phone sensors and use those data for altitude estimation via the barometric formula. We introduce a novel approach for the extraction of reference pressure during the outdoor-to-indoor-transition of the user inside a building,...
Vertical height estimation is critical to indoor localization technique. However, the common story height covers from 2.8m to 6.0m in multistory buildings, which make it meaningless to estimate height alone. An efficient indoor location system should provide accurate floor estimation with fuzzy story height information. This paper proposes a Bayesian Network inference method to identify pedestrian's...
The optimal filtering problem for non-stationary stochastic continuous-time observation models is considered. It is known that the problem solution can be found using both the Duncan-Mortensen-Zakai equation and the robust Duncan-Mortensen-Zakai equation. In this paper the special form of the robust Duncan-Mortensen-Zakai equation, where the drift, diffusion, and potential functions are expressed...
This paper considers the problem of range-based decentralized localization in wireless sensor networks when the impulsive measurement noise is present. We develop a robust localization estimator requiring no a priori knowledge of the noise distribution. The approach to robust localization presented here follows the concept of M-estimation and is implemented in a decentralized manner thus suiting the...
This paper deals with a robust formation control methodology for the Multi-UAV system with uncertain exogenous disturbance. The fourth-order UAV model with disturbance and the disturbance estimate system is introduced. In order to achieve the rigid formation fight, graph theory and consensus algorithm are utilized and the state of the UAVs converges to desired value by using Leader-Follower structure...
This paper presents a robustness-improving discrete-time current controller utilizing predictive current control (PCC) for permanent magnet linear synchronous motor (PMLSM). The stability and robustness of the PCC system is highly affected by the parameters mismatch between the controller and the plant, and the inherent digital control delay can limit the bandwidth. Toward this, an integrated method...
Efficient crowd counting is an essential task in crowd monitoring, and significant advances have been made in this field recently by counting-by-regression techniques. We propose in this work a learning-to-count strategy with a generic detection algorithm which benefits from a counting regressor in order to identify crowded subregions with inadequate head detection performance, and to improve their...
Both state propagation and sensor measurements are often corrupted by unmodeled non-Gaussian or heavy-tailed noise. Without dealing with such outliers, the accuracy of a estimator significantly degrades, and control systems that rely on high-quality estimation lose stability. To estimate the states of dynamic systems in which both types of outliers occur, we propose a novel approach that combines...
Lensless microscopy, also known as in-line digital holography, is a 3D quantitative imaging method used in various fields including microfluidics and biomedical imaging. To estimate the size and 3D location of microscopic objects in holograms, maximum likelihood methods have been shown to outperform traditional approaches based on 3D image reconstruction followed by 3D image analysis. However, the...
This paper proposes a new filter design optimized for GNSS attitude determination applications using low cost devices. The filter contains all relevant constraints and observations, including double differenced carrier phase and code observations along with MEMS-IMU observations. Benefited from the unified treatment, the priori information is well used during the resolution of double differenced GNSS...
This paper presents a method for estimating the number, as well as the activity periods of spatially distributed sound sources using an uncalibrated microphone array. This methodology is applied for the purposes of speaker diarization. In general, speaker diarization has difficulty with: 1) estimating the number of sound sources (speakers), and 2) activity detection of multiple sound sources including...
Person re-identification (ReID) stands for the task of determining the co-occurrence of individuals across a network of cameras with disjoint viewfields. The relevant literature documents a plausible number of contributions so far. KISS metric learning is an effective ReID method. However, as reported in the existing works, KISS metric learning is sensitive to the feature dimensionality and can not...
Digital predistortion (DPD) is an effective power amplifier (PA) linearization technique improving the system energy efficiency. At this point, real-time DPD adaptation is still an open issue due to the high computational complexity during the coefficients estimation procedure. Online censoring approach, which is effective in reducing the redundant data samples, can be applied in the DPD coefficients...
Moving targets localization is an important challenge in current synthetic aperture radar (SAR) — ground moving target indication (GMTI) system. The along track interferometry (ATI) method is usually used for GMTI in SAR, however, which suffers from ambiguous parameters estimation due to wrapped phase and less robust to estimation errors (of system parameters and motion parameters of the moving targets)...
Most of the times Wireless Sensor Networks (WSNs) operate in hostile and unattended network environments, which makes the nodes vulnerable to node misbehaviour attacks. The applicability of conventional security methods, such as authentication, encryption and cryptography, to counter node misbehaviour attacks is debatable due to their incapability and involved cost. Trust aware secure mechanisms provide...
Retinal image registration plays an important role to diagnose, monitor and track the progress of various related fundus disease. Since the vascular structure is indistinct in poor quality and low overlap retinal images, it becomes more difficult for the intensity-based and blood vessel, branch and cross points-based registration methods. In order to solve this issue, an effective retinal image registration...
This paper considers a robust control strategy for main steam temperature system of thermal power plant that is affected by immeasurable bounded disturbances. An output-feedback min-max optimization approach is proposed to obtain a controller which could effectively reject disturbances and stabilize the system. This approach combines moving horizon estimation with model predictive control and is formulated...
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