We propose an adaptive offloading decision algorithm for mobile edge computing (MEC) systems based on minimization of task sojourn time where the MEC server uses a weighted round-robin scheduler. In this setting, we d...
详细信息
ISBN:
(纸本)9781538646953
We propose an adaptive offloading decision algorithm for mobile edge computing (MEC) systems based on minimization of task sojourn time where the MEC server uses a weighted round-robin scheduler. In this setting, we define high - and low-class mobile users, where high-class users get better service.
A backstepping adaptive sliding-mode attitude control method was proposed for a three-axis stabilized satellite attitude control system with uncertain external disturbances. This method combined backstepping control w...
详细信息
ISBN:
(纸本)9781728113128
A backstepping adaptive sliding-mode attitude control method was proposed for a three-axis stabilized satellite attitude control system with uncertain external disturbances. This method combined backstepping control with sliding-mode control, and used adaptive algorithm to estimate the external disturbances. so that. the external disturbances was suppressed Lyapunov stability analysis showed that the closed-loop system was proved to be theoretically stable. The simulation results show that the controller can effectively deal with the influence o f external disturbance in attitude control, and has certain application value.
Aiming at the problem of positioning and tracking of hypersonic vehicles in adjacent space, the positioning and tracking performance of space-based infrared low-orbit satellite binary star system for hypersonic vehicl...
详细信息
Aiming at the problem of positioning and tracking of hypersonic vehicles in adjacent space, the positioning and tracking performance of space-based infrared low-orbit satellite binary star system for hypersonic vehicles is explored. According to the kinematic equation of the established hypersonic vehicle, based on STK and Matlab simulation software, The real trajectory of the target, the tracking observation scene of the binary star for the target aircraft is built in the STK simulation software. The Cubature Kalman filter algorithm based on the CS model is studied. According to the shortcomings of the CS model, the key parameters are self-determined Adapt to the adjustment. The simulation results show that the parameter adaptive algorithm is improved compared to the original algorithm.
The celebrated filtered-x least mean square (FxLMS) algorithm does not work well for active noise control (ANC) of impulsive source. In previous attempts, the robustness of FxLMS algorithm has been improved by thresho...
详细信息
ISBN:
(纸本)9789082797015
The celebrated filtered-x least mean square (FxLMS) algorithm does not work well for active noise control (ANC) of impulsive source. In previous attempts, the robustness of FxLMS algorithm has been improved by thresholding the reference and/or error signals used in the ANC system. However, estimating these thresholds is not any easy task in most of the practical scenarios. The need for appropriate thresholds is avoided in a previously proposed improved normalized-step-size FxLMS (INSS-FxLMS) algorithm, however, there is a trade-off situation between the convergence speed and steady-state performance as a fixed step-size needs to be selected properly. In this paper, we propose a novel algorithm for impulsive ANC (IANC) systems. The proposed algorithm is based on the previously proposed INSS-FxLMS. The main idea to employ a convex-combined step-size which automatically converges to a large value to improve the convergence speed during the transient state, and to a small value as the IANC system converges at the steady-state. Extensive simulation results are presented to demonstrate the effective performance of the proposed algorithm.
This paper addresses the problem of speech quality enhancement and acoustic noise reduction by partial adaptive filtering algorithms combined with the forward blind source separation (FBSS) structure. We propose new v...
详细信息
ISBN:
(纸本)9781538671207
This paper addresses the problem of speech quality enhancement and acoustic noise reduction by partial adaptive filtering algorithms combined with the forward blind source separation (FBSS) structure. We propose new version of two channel forward partial update algorithm for acoustic noise reduction and speech quality enhancement application. The proposed algorithm is based on the use of a new coefficients update to control normalization energy of the adaptive NLMS cross filters. We are interested in the comparison between our proposed algorithm with it original version TC-SM-PU-NLMS, in terms of speed convergence and stability. In order to examine the good performance of this proposed algorithm, we have evaluated it through three objective criteria: System Mismatch (SM), Segmental Mean Square Error (SegMSE) and the Segmental SNR (SegSNR).
Wireless sensor networks have been widely used in environment, climate, animal monitoring, surveillance, and also in the medical field. When deploying sensors to monitor boundaries of battlefields or country borders, ...
详细信息
ISBN:
(纸本)9783030046514;9783030046507
Wireless sensor networks have been widely used in environment, climate, animal monitoring, surveillance, and also in the medical field. When deploying sensors to monitor boundaries of battlefields or country borders, sensors are usually dispersed from an aircraft following a predetermined path. In such scenarios sensing gaps are usually unavoidable. We consider a wireless network consisting of randomly deployed sensor nodes and directional border nodes deployed using a random line-based deployment model. In this paper we propose an adaptive distributed algorithm for weak-barrier coverage that allows border nodes to dynamically compute their orientation based on notifications from the sensor nodes, such that to increase the number of intruders detected by the border nodes. We use simulations to analyze the performance of our algorithm and to compare it with a non-adaptive gap mending algorithm.
In order to reduce the interior noise caused by road excitation,the finite element analysis method is used to analyze the modal of the interior space, and then get the frequency response curve of the corresponding nod...
详细信息
In order to reduce the interior noise caused by road excitation,the finite element analysis method is used to analyze the modal of the interior space, and then get the frequency response curve of the corresponding nodes in the car ear. Through the establishment of an adaptive neural network noise active control system simulink model, the simulation experiment is carried out. The experimental results show that the active control system of neural network noise control in the 0 to 50 Hz frequency band has good noise reduction effect and the average noise reduction is 4.3 dB. At 86 Hz, the maximum noise reduction is 9.8 dB,and the system can control the low frequency noise produced under the excitation of the road. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
We propose a new channel estimation technology of digital self-interference cancellation method to solve the severe self-interference problem of co-time co-frequency full-duplex communication in underwater acoustic co...
详细信息
ISBN:
(数字)9781728123455
ISBN:
(纸本)9781728123462
We propose a new channel estimation technology of digital self-interference cancellation method to solve the severe self-interference problem of co-time co-frequency full-duplex communication in underwater acoustic communication. Generally, the intended signal is regarded as interference during the self-interference channel estimation. In this paper, self-interference signal and intended signal are combined based on adaptive algorithm to estimate self-interference and intended channel. We use the self-interference channel obtained by the proposed method to reconstruct self-interference signal for digital self-interference cancellation. Compared with the self-interference channel method that use only self-interference signal, our proposed method has higher accuracy, improves the performance of digital self-interference cancellation, and improves the performance of Co-time Co-frequency full-duplex underwater acoustic communication.
To ensure good attenuation using the adaptive algorithm at interesting frequency band, a stable reference signal highly correlated with the primary excitations of structures is one of the critical factors. The feedfor...
详细信息
To ensure good attenuation using the adaptive algorithm at interesting frequency band, a stable reference signal highly correlated with the primary excitations of structures is one of the critical factors. The feedforward and feedback control strategies are the main measures for the reference signal acquisition. In this paper, the feedforward and feedback adaptive filters thoroughly are demonstrated to obtain their superiorities. To compare their performance, an active vibration control system is set up. With the condition that the identified secondary paths of filters are consistent and reliable, some comparative experiments are carried out on the plate structure to precisely acquire the influence of different filters. Results show that both the feedforward and feedback filters are effective, while a better vibration attenuation can be obtained by the feedforward adaptive filter within the test frequency band of 0~200 Hz. Besides, the feedforward adaptive filter has advantages of lower computational complexity and higher stability when the primary disturbances can be pre-estimated;the feedback adaptive filter has better robustness when the characteristics of primary excitations can't be known in advance. Based on these conclusions, a more proper control strategy can be designed for the practical engineering application of active vibration control.
In this paper the developed optimization algorithm for electrical unmanned aerial vehicle (UAV) is described for minimization of energy consumption. The main advantage of the proposed algorithm is the unification and ...
详细信息
ISBN:
(纸本)9781538669037
In this paper the developed optimization algorithm for electrical unmanned aerial vehicle (UAV) is described for minimization of energy consumption. The main advantage of the proposed algorithm is the unification and usability for any electrical UAV with different number of traction drives, different or variable mass and other configuration differences without any initial manual setup. With the proposed algorithm any electric UAV is able to move with maximal energy efficiency.
暂无评论