Robust equalisation for inter symbol interference communication channels

Zhang, H.; Shi, Yang; Mehr, Aryan Saadat

doi:10.1049/iet-spr.2010.0367

Cited by 21 publications

(4 citation statements)

References 30 publications

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“…Until now, there are already many papers published focusing on the robust control, especially in theory. 16–24 However, signal processing is becoming necessary among these methods, which are hard to realize in practice because of the noise during differential or integral process. In this paper, the control strategy of sliding mode integrated with feed-forward compensation (SMF) is applied to enhance the robust performance by using the method, which is presented in Ref.…”

Section: Control Strategiesmentioning

confidence: 99%

A new type of hydraulic cylinder system controlled by the new-type hydraulic transformer

Shen

Jiang

et al. 2013

Proceedings of the Institution of Mechanical Engineers, Part C:

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In order to enhance the efficiency of the hydraulic system, one new-type hydraulic transformer is presented in this paper. First, the basic structure and the principle of the new-type hydraulic transformer are explained. Then, the mathematical models including both the inner and outer loops are analyzed. Moreover, two kinds of control methods are discussed corresponding to the two loops, respectively. Furthermore, the proposed strategies are translated into the simulation languages, and the simulation is made in Simulink. Finally, the prototypes of new-type hydraulic transformer and the test rig are constructed to test the performance. Both the simulated and experimental results show that the new-type hydraulic transformer can be used in the practical condition, and the proposed control algorithm is suitable. © IMechE 2013

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Section: Control Strategiesmentioning

confidence: 99%

A new type of hydraulic cylinder system controlled by the new-type hydraulic transformer

Shen

Jiang

et al. 2013

Proceedings of the Institution of Mechanical Engineers, Part C:

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“…On the other hand, it is well known that filtering is an important research topic in control [31][32][33][34], and received much attention. In recent years, under the assumption that the transition probabilities are time invariant, many results on filtering and estimation have been reported for stochastic systems, such as Kalman filtering [16], robust filtering [18], and H 1 filtering and adaptive estimation [5,20,23,38].…”

Section: Introductionmentioning

confidence: 99%

Filtering for discrete-time nonhomogeneous Markov jump systems with uncertainties

Yin

Shi

Liu

et al. 2014

Information Sciences

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This paper studies the problem of robust H 1 filtering for a class of uncertain discrete-time nonhomogeneous Markov jump systems. The time-varying jump transition probability matrix is described by a polytope. By Lyapunov function approach, mode-dependent and variation-dependent H 1 filter is designed such that the resulting error dynamic system is stochastically stable and has a prescribed H 1 performance index. A numerical example is given to illustrate the effectiveness of the developed techniques.

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“…Signal processing is an approach widely used in diagnostics, since it directly allows characterising the state of the system. Several types of advanced signal processing techniques have been proposed in the last decades and added to more conventional ones [1–28]. Since each technique has different theoretical basis, the obtained results are also usually different.…”

Section: Introductionmentioning

confidence: 99%

“…The FFT‐based methods have been widely used for fault diagnostics but they are not suitable for non‐stationary signal analysis. Since the vibration signals delivered from gears contain non‐stationary components because of gear faults, we must find robust signal processing methods [1–28] to analyse the non‐stationary vibration signal. We can use time–frequency transforms, such as the Wigner–Ville distribution [42] and the short time Fourier transform (STFT) [43] to analyse vibration signals.…”

Section: Introductionmentioning

confidence: 99%

Search of a robust defect signature in gear systems across adaptive Morlet wavelet of vibration signals

Ayad¹,

Chikouche²,

Boukazzoula³

et al. 2014

IET signal process.

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Monitoring of rotating machines by vibration analysis is a topic that has received a great interest in recent years. Moreover, the vibrations from a machine are affected greatly by the conditions of its operation (speed, load and so on). A significant challenge remains with the monitoring of gears under fluctuating operating conditions. An unexpected fault of gear may cause huge economic losses, even personal injury. In this study, a new method based on adaptive Morlet wavelet (AMW) is proposed for the analysis of vibration signals produced from a gear system under test in order to detect early the presence of faults. The mother Morlet wavelet is adapted with the gear vibration signal by setting parameters of the wavelet to balance the time-frequency resolution. The obtained optimal pair of parameters results in the best time-frequency resolution for the given vibration signal; and the fault detection problem is considered just as a simple signature search in the timescale domain using scalograms. An early indication of the presence of a gear defect is obtained at the 10th day of experimentation using the AMW-based method. Whereas, the gear system has a defect on the 12th day corresponding to the tooth damage which results in a complete change in the location of the AMW coefficients.

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Robust equalisation for inter symbol interference communication channels

Cited by 21 publications

References 30 publications

A new type of hydraulic cylinder system controlled by the new-type hydraulic transformer

A new type of hydraulic cylinder system controlled by the new-type hydraulic transformer

Filtering for discrete-time nonhomogeneous Markov jump systems with uncertainties

Search of a robust defect signature in gear systems across adaptive Morlet wavelet of vibration signals

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