To meet the real-time and low power consumption demands in MEMS navigation and guidance field, an improved Kalman filter algorithm for GNSS/INS was proposed in this paper named as one-step prediction of P matrix. Quan...
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To meet the real-time and low power consumption demands in MEMS navigation and guidance field, an improved Kalman filter algorithm for GNSS/INS was proposed in this paper named as one-step prediction of P matrix. Quantitative analysis of field test datasets was made to compare the navigation accuracy with the standard algorithm, which indicated that the degradation caused by the simplified algorithm is small enough compared to the navigation errors of the GNSS/INS system itself. Meanwhile, the computation load and time consumption of the algorithm decreased over 50% by the improved algorithm. The work has special significance for navigation applications that request low power consumption and strict real-time response, such as cellphone, wearable devices, and deeply coupled GNSS/INS systems.
This study presents a new approach, which integrates the input shaping technique and the constrained adaptive backstepping control method, for constrained adaptive tracking and elastic vibration control of flexible hy...
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This study presents a new approach, which integrates the input shaping technique and the constrained adaptive backstepping control method, for constrained adaptive tracking and elastic vibration control of flexible hypersonic vehicles. Specifically, the input shaper as a feedforward part is implemented outside the feedback loop, which can achieve vibration suppression for flexible dynamics;whereas for the feedback loop, the vehicle model is decomposed into functional subsystems, and the decentralised approach is used. Then, by introducing the command filter and the auxiliary system, constrained adaptive control law is formulated to make the closed-loop system follow the shaped reference trajectory and attenuate the elastic vibration in the presence of parameter uncertainties, external disturbances and input saturation constraints. An attractive feature of this proposed control algorithm is that all signals of closed-loop system are uniformly ultimately bounded and the tracking error converges to a residual set which can be made sufficiently small by properly designing control parameters. Moreover, by applying the shaped commands, flexible dynamics with less elastic deformation and vibration can be achieved without destroying the closed-loop performance. Simulation results are provided to verify the effectiveness of the proposed control method.
To enable uplink inter-cell interference coordination in cellular networks, estimates of the powers generated by the own serving cell, the neighbour cells and the thermal noise processes need to be made available. An ...
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To enable uplink inter-cell interference coordination in cellular networks, estimates of the powers generated by the own serving cell, the neighbour cells and the thermal noise processes need to be made available. An algorithm for such high-bandwidth interference power splitting is derived in the study. The algorithm does not require inter-base station communication. The resulting estimates support self-organising network interference management and coordinated scheduling, both technologies being important in new heterogeneous networks. A new method for G-matrix tracking is also outlined, based on the estimates obtained from the proposed algorithm. The performance evaluation, performed for a 3G wideband code division multiple access setup of the algorithm, shows that the estimation inaccuracy's of the proposed algorithm is below 10-15% in the relevant operating region.
Simultaneous bidirectional transmission and reception of signals on a single channel in a full duplex (FD) system is gaining increased attention from both academia and industry. Recent advances in radio transceiver de...
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ISBN:
(纸本)9781509013296
Simultaneous bidirectional transmission and reception of signals on a single channel in a full duplex (FD) system is gaining increased attention from both academia and industry. Recent advances in radio transceiver design have been able to minimize the self interference (SI) to a great extent making realization of a FD transceiver possible. For FD deployment in a multi-cell environment, minimizing SI is not sufficient due to the presence of a complex array of network-wide interference. This paper investigates the critical deployment challenges for a dense urban FD multi-cell network and provides solutions for successful deployment of FD cellular networks. Extensive simulation results show that the proposed user selection and power control algorithms are able to increase the FD performance gain by more than 80% when compared to the traditional half duplex (HD) counterpart.
Unmanned Aerial Vehicles (UAVs) have received considerable attention from the academic community and technology solutions companies, given their civilian and military applications. The autopilot system shall be thorou...
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ISBN:
(纸本)9781467395205
Unmanned Aerial Vehicles (UAVs) have received considerable attention from the academic community and technology solutions companies, given their civilian and military applications. The autopilot system shall be thoroughly tested in lab because an accident may cause irreversible damage to the UAV. This article presents a proposal of a Hardware-In-the-Loop platform for testing and validation of a small fixed-wing aircraft. Besides a communication system, it was developed a deflection measurement platform of the aircraft control surfaces. This measurement platform was validated, enabling future work on implementing embedded control algorithms.
Restricted Access Window (RAW) has been introduced to IEEE 802.11ah MAC layer to decrease collision probability. However, the inappropriate application of RAW duration for diverse groups of devices would increase upli...
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ISBN:
(纸本)9781509013296
Restricted Access Window (RAW) has been introduced to IEEE 802.11ah MAC layer to decrease collision probability. However, the inappropriate application of RAW duration for diverse groups of devices would increase uplink energy consumption, delay and lower down the data rate. In this paper, we study a RAW optimization problem with a novel retransmission scheme that utilizes the next empty slot for retransmission in the uplink. The problem is formulated based on overall energy efficiency and delay of each RAW by applying probability theory and Markov Chain. To jointly optimize energy efficiency and delay, an energy-delay aware window control algorithm is proposed to adapt RAW size by estimating the number of time slots and internal slot duration in one RAW for different groups. The optimal solution is derived by applying Gradient Descent approach. Simulation results show that our proposed algorithm improves up to 113.3% energy efficiency and reduces 53.4% delay compared to the existing RAW.
This paper solves the robust control problem of a plant with distributed delay using a reference model. The plant is subjected to bounded exogenous disturbances and the parameters of its mathematical model appear unkn...
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This paper solves the robust control problem of a plant with distributed delay using a reference model. The plant is subjected to bounded exogenous disturbances and the parameters of its mathematical model appear unknown. The author suggests a control algorithm for compensating the a priori parametric uncertainty and the bounded exogenous disturbances with a desired accuracy. A numerical example with corresponding simulation results is provided.
In the framework of fault reconstruction technique, this paper studies the problems of multiple mode process fault detection, fault estimation, and fault prediction systematically based on multi-PCA model. First, a mu...
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In the framework of fault reconstruction technique, this paper studies the problems of multiple mode process fault detection, fault estimation, and fault prediction systematically based on multi-PCA model. First, a multi-PCA model is used for fault detection in steady state process under different conditions, while a weighted algorithm is applied to transition process. Then, describe the faults quantitatively and use the optimization method to derive the fault amplitude under the sense of fault reconstruction. Fault amplitude drifts under different conditions even if the same fault occurs. To solve the above problem, consistent estimation algorithm of fault amplitude under different conditions has been studied. Last, employ the support vector machine (SVM) to predict the trend of the fault amplitude. Effectiveness of the algorithms proposed in this paper has been verified using Tennessee Eastman process as the study object.
This paper presents a reconstruction formula in general shift-invariant signal spaces that improve the rate of A-P iterative algorithm. We use the algorithm to show reconstruction of signals from weighted samples and ...
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This paper presents a reconstruction formula in general shift-invariant signal spaces that improve the rate of A-P iterative algorithm. We use the algorithm to show reconstruction of signals from weighted samples and also show that there is better convergence than the old one. We study the algorithm with emphasis on its implementation in field of signal processing, which the signal spaces is sufficiently large to accommodate a large number of possible models. Numerical examples results are furnished to illustrate our results. (C) 2015 Elsevier B.V. All rights reserved.
For the probe descending and landing safely, a neural network control method based on proportional integral observer (PIO) is proposed. First, the dynamics equation of the probe under the landing site coordinate syste...
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For the probe descending and landing safely, a neural network control method based on proportional integral observer (PIO) is proposed. First, the dynamics equation of the probe under the landing site coordinate systemis deduced and the nominal trajectory meeting the constraints in advance on three axes is preplanned. Then the PIO designed by using LMI technique is employed in the control law to compensate the effect of the disturbance. At last, the neural network control algorithm is used to guarantee the double zero control of the probe and ensure the probe can land safely. An illustrative design example is employed to demonstrate the effectiveness of the proposed control approach.
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