The Experts below are selected from a list of 20370 Experts worldwide ranked by ideXlab platform
Qihua Wang - One of the best experts on this subject based on the ideXlab platform.
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finite sample breakdown point of tukey s halfspace median
Science China-mathematics, 2017Co-Authors: Qihua WangAbstract:Tukey’s halfspace median (HM), servicing as the multivariate counterpart of the univariate median, has been introduced and extensively studied in the literature. It is supposed and expected to preserve Robustness Property (the most outstanding Property) of the univariate median. One of prevalent quantitative assessments of Robustness is finite sample breakdown point (FSBP). Indeed, the FSBP of many multivariate medians have been identified, except for the most prevailing one—the Tukey’s halfspace median. This paper presents a precise result on FSBP for Tukey’s halfspace median. The result here depicts the complete prospect of the global Robustness of HM in the finite sample practical scenario, revealing the dimension effect on the breakdown point Robustness and complimenting the existing asymptotic breakdown point result.
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finite sample breakdown point of tukey s halfspace median
arXiv: Statistics Theory, 2016Co-Authors: Xiaohui Liu, Qihua Wang, Yijun ZuoAbstract:Tukey's halfspace median ($\HM$), servicing as the {multivariate} counterpart of the univariate median, has been introduced and extensively studied in the literature. It is supposed and expected to preserve Robustness Property (the most outstanding Property) of the univariate median. One of prevalent quantitative assessments of Robustness is finite sample breakdown point (FSBP). Indeed, the FSBP of many multivariate medians have been identified, except for the most prevailing one---the Tukey's halfspace median. This paper presents a precise result on FSBP for Tukey's halfspace median. The result here depicts the complete prospect of the global Robustness of $\HM$ in the \emph{finite sample} practical scenario, revealing the dimension effect on the breakdown point Robustness and complimenting the existing \emph{asymptotic} breakdown point result.
Augusto Aubry - One of the best experts on this subject based on the ideXlab platform.
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a max min design of transmit sequence and receive filter
International Conference on Acoustics Speech and Signal Processing, 2014Co-Authors: Mohammad Mahdi Naghsh, Mojtaba Soltanalian, Peter Stoica, Antonio De Maio, Mahmoud Modarreshashemi, Augusto AubryAbstract:In this paper, we study the joint design of Doppler robust transmit sequence and receive filter to improve the performance of an active sensing system dealing with signal-dependent interference. The signal-to-interference-plus-noise ratio (SINR) of the filter output is considered as the performance measure of the system. The design problem is cast as a max-min optimization problem to robustify the system SINR with respect to the unknown Doppler shifts of the targets. To tackle the design problem, we devise a novel method to obtain optimized pairs of transmit sequence and receive filter sharing the desired Robustness Property.
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A Doppler Robust Design of Transmit Sequence and Receive Filter in the Presence of Signal-Dependent Interference
IEEE Transactions on Signal Processing, 2014Co-Authors: Mohammad Mahdi Naghsh, Mojtaba Soltanalian, Mahmoud Modarres-hashemi, Antonio De Maio, Augusto AubryAbstract:In this paper, we study the joint design of Doppler robust transmit sequence and receive filter to improve the performance of an active sensing system dealing with signal-dependent interference. The signal-to-noise-plus-interference (SINR) of the filter output is considered as the performance measure of the system. The design problem is cast as a max-min optimization problem to robustify the system SINR with respect to the unknown Doppler shifts of the targets. To tackle the design problem, which belongs to a class of NP-hard problems, we devise a novel method (which we call DESIDE) to obtain optimized pairs of transmit sequence and receive filter sharing the desired Robustness Property. The proposed method is based on a cyclic maximization of SINR expressions with relaxed rank-one constraints, and is followed by a novel synthesis stage. We devise synthesis algorithms to obtain high quality pairs of transmit sequence and receive filter that well approximate the behavior of the optimal SINR (of the relaxed problem) with respect to target Doppler shift. Several numerical examples are provided to analyze the performance obtained by DESIDE.
Asif Sabanovic - One of the best experts on this subject based on the ideXlab platform.
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a study on Robustness Property of sliding mode controllers a novel design and experimental investigations
IEEE Transactions on Industrial Electronics, 1999Co-Authors: Kemalettin Erbatur, M O Kaynak, Asif SabanovicAbstract:The Robustness Property of sliding-mode controllers (SMCs) makes them attractive for industrial control applications. However, this Property is valid only under ideal sliding-mode conditions. Additionally, practical SMCs are likely to exhibit high-frequency oscillations in the plant output, called chattering, and to excite unmodeled dynamics. A novel, chattering-free sliding-mode control algorithm design, based on Lyapunov stability criteria, is considered in this paper. The control algorithm developed is experimentally implemented on a direct-drive manipulator for various payload configurations. It is seen that the controller carries a certain amount of Robustness Property, the trajectory-following performance being only slightly affected by the changes in the payload. A comparison of the experimental results with those obtained by a well-tuned proportional-derivative control is also given.
Xuning Guan - One of the best experts on this subject based on the ideXlab platform.
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Adaptive backstepping sliding mode control for heavy-weight airdrop operations
JVE International, 2017Co-Authors: Ri Liu, Xiuxia Sun, Wenhan Dong, Xuning GuanAbstract:This paper proposes an adaptive backstepping sliding mode flight control method that is compatible with heavyweight cargo airdrop. The goal is to maintain the plane states during cargo extraction process, in the presence of uncertainties of both constant and time-varying types, as well as matched and unmatched types. A backstepping sliding mode flight control law with parameter adaptation is presented based on the plane-cargo dynamics in strict-feedback form. The control approach consists in having an adaptation law that approximates the disturbance and uncertain aerodynamic function, which is separated from the complex nonlinearities. Also, the adaptation algorithm with projection can bound the estimated function. This ensures the Robustness of the controller against time-varying disturbance and uncertainty. The convergence performance and Robustness Property of the control law are proved by the Lyapunov theory. The control effect is evaluated on a transport plane performing a maximum load airdrop task in a number of simulation scenarios
M G Radke - One of the best experts on this subject based on the ideXlab platform.
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reduced order sliding mode control for pneumatic actuator
IEEE Transactions on Control Systems and Technology, 1994Co-Authors: Arun Kumar Paul, J E Mishra, M G RadkeAbstract:A new position control algorithm, based on sliding mode control, has been developed for a pneumatic cylinder. In the proposed pneumatic system, commercially available two-way on-off solenoid valves have been used. The inherent Robustness Property of the sliding mode controller makes it easier to select the switching gains of the controller. Moreover, approximate dynamic modeling of the system makes the controller simple. Since in sliding mode control, the states remain on the sliding surface, the motion of the piston is very smooth. This suggests the potential of pneumatic cylinders as actuators for robot manipulators. The controller is hybrid in nature, consisting of an error amplifier, data conversion devices and an 8088 microprocessor along with various digital circuit accessories. Only one feedback device (potentiometer) is used. Velocity is calculated from the sampled position signals. >
