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Academic researches and companies have developed active noise-reducing headphones using expensive digital signal processors. This work develops a modified feedback active noise control algorithm to develop an anti-noise headphone with a microcontroller. The system uses one general microphone per ear cup, offering a cheaper solution than existing noise-reducing headphones. Experimental results illustrate...
Active noise control utilizes the artificial noise to cancel the undesired noise. This technique generates the anti-noise signal with the same magnitude and 180°phase shift to the undesired noise, to destructively interfere the undesired noise. Many researchers have employed the FXLMS algorithm to design the ANC system because of its simplicity. However, the fluctuation of secondary path in FXLMS...
In this paper, an adaptive robust dynamic surface controller (ARDSC) is designed to position the steel ball of a magnetic levitation system. The proposed dynamic surface controller is utilized to overcome the problem of explosion of terms associated with the backstepping method. The presence of modeling errors that are uncertainties of physical parameters is considered in this paper. The adaptive...
The control performance of sensorless vector-controlled induction motors mainly relies on an accurate flux estimation. However, due to the variations of electrical parameters, the inaccuracy of estimated fluxes will cause the performance degradation of speed control. In this paper, an integral sliding-mode flux observer is provided to estimate the d-and q-axis fluxes in the stationary reference frame...
This paper introduces the development of a master-slave teleoperation system with haptic feedback and the implementation of the wave variable method. The discussions of wave reflections are also addressed. The proposed algorithms are implemented on a teleoperation control system with an embedded CompactRIO modules and master/slave devices. Experimental results illustrate that the responses of position...
In this paper, an adaptive fuzzy sliding-mode formation controller (AFSFC) is designed to accomplish the formation tracking control of multi-robot systems. The multi-agent system with the proposed AFSFC can reach the desired formation asymptotically. Based on an adaptive tuning scheme, the external disturbances are dealt with and the analysis of the control stability is given. The simulation results...
An interval type-2 fuzzy neural network (IT2FNN) is developed for the position control of ball-and-beam systems to confront the noise. A T2FNN consists of a type-2 fuzzy linguistic process as the antecedent part and multi-layer neural network as the consequent part. The developed IT2FNN combines the merits of an interval type-2 fuzzy logic system and a neural network. Furthermore, the parameter-learning...
We consider the problem of estimating the physical locations of nodes in an indoor wireless network since knowing the physical locations of the nodes is important to many tasks of a wireless network such as network management, event detection, location-based service, and routing. A hierarchical support vector machines (H-SVM) scheme is proposed with the following advantages. First, H-SVM offers an...
Ranging and localization are some of the key applications in a wireless sensor network. Good accuracy can be obtained if the signals captured are of good qualities. In a practical scenario, crystal clock time drift in the devices in a wireless sensor network can greatly influence the ranging and localization accuracy. However, crystal clock time drift can be overcome by having multiple transmissions...
Wideband source localization using acoustic sensor networks has been drawing a lot of research interest recently. The maximum-likelihood is the predominant objective which leads to a variety of source localization approaches. In this paper, we would like to combat the source localization problem based on the realistic assumption where the sources are corrupted by the noises with non-uniform spatial...
In this paper, we investigate a novel technique to acquire comprehensive context information of remote Smart-phone users, including surrounding environment, location and behaviors, for further information process, e.g. localization and human safeguard. Our system is simply launched by a normal 3G video call and to transmit the captured real time video in 3G connections. The technique makes use of...
The nonlinear effects of partial erasure and transition shift, however, often limit the performance attained by the partial response maximum likelihood (PRML) detector because of model mismatch. Conventionally, the nonlinear effects are either ignored or approximated by linearization technique. In the article, a PRML detector for the PR4 model including the nonlinear effects has been developed to...
An alternative design for constructing multilevel space-time codes is proposed. For a given space-time block code, we combine several component codes in conjunction with set partitioning of the expanded signal constellation according to the coding gain distance criterion. The error performance of an example code is compared with a traditional multilevel space-time code in computer simulation.
This paper describes methods to lower the entry barrier for creating products that interoperate in the emerging heterogeneous residential control network domain. For designing reconfigurable, layer-component-based communication stacks, a flexible framework is proposed that supports several types of nodes such as bridges, controllers, sensor/actuators - as well as secure communication between them...
A study of the ring behavior appeared in the primary side control of flyback power converter for battery charging is presented. In order to have better isolation between the input and output ends of converter, instead of having direct output voltage sensing from the output connected in the secondary side, the primary side control scheme is usually applied to the regulation design of flyback power...
This study continues the issue of Russian economic reform in the study by Quast and Locatelli (1997) and extends the same reform in many aspects. In this article, in-depth study is also made in the reform strategies (vertical and horizontal integration and diversity) and the business performance of Gazprom, Russia's natural gas company, as Russian had tried to save its domestic political and economic...
The K-means algorithm is among the most popular clustering methods that group observations with similar characteristics or features together. It is widely used in many marketing applications, especially in cluster-based market segmentation. The K-means algorithm is implemented by different commercial software, such as SAS, SPSS and MATLAB, as a standard clustering function/tool. This note compares...
This paper investigates the issues of torque control strategies for light electric bike systems with human power assistance. The feature of this electric bike equipped with both usual electrical machine power and personal-dependent human power makes its operation distinct from other types of vehicle. To facilitate a reliable and smooth torque control design, a speculation of the human torque exerted...
In order to enhance riding safety and comfort, it is necessary to monitor the bike's status. This paper attempted to develop a safety system for intelligent portable hybrid electric bicycle. The safety system includes two functions: (1). Anti-crash warning system, (2). Balanced tire pressure monitoring system. Those are combined ultrasonic ranging technology and sensor technology for electric bicycles...
In this paper, we adopt the Taxes IC BQ2954 to design a switching type battery charger that is very light, high efficiency, and very fast. The charger is able to fully charge a 36V/5.6AH Li-ion battery within 30 minutes.
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