Showing papers in "Journal of Systems Engineering and Electronics in 2011"

TL;DR: A health management and fusion prognostic model for avionics system is presented, combining three baseline prognostic approaches that are model-based, data-driven and knowledge-based approaches, and integrates merits as well as eliminates some limitations of each single approach to achieve fusion prognostics and improved prognostic performance of RUL estimation.

TL;DR: A fault-tolerant cooperative localization algorithm against global positioning system (GPS) signal loss due to GPS receiver malfunction is proposed, based on multiple unmanned aerial vehicles (UAVs) flight at a constant altitude and more suitable for the small-size and low-cost UAV applications.

TL;DR: The linguistic weighted generalized mean (LWGM) and the linguistic generalized ordered weighted averaging (LGOWA) operator are introduced and a further generalization by using quasi-arithmetic means instead of generalized means obtaining the quasi-LWA and the semi-LOWA operator is introduced.

TL;DR: Two protocols are presented, which can make agents reach consensus while achieving and preserving the desired for- mation in fixed topology with and without communication time- delay for multi-agent network.

TL;DR: In this article, an unscented extended Kalman filter (UEKF) for nonlinear system is presented. But, the computational time of UEKF is much less than that of the UKF.

TL;DR: To overcome the limitations of themean shift method, a new approach is proposed by integrating the mean shift algorithm and frame-difference methods, which can effec-tively track moving targets and overcome the tracking error accumulation problem.

TL;DR: A new phase unwrapping algorithm based on the unscented Kalman filter (UKF) for synthetic aperture radar (SAR) interferometry is presented, which is the result of combining an UKF with path-following strategy and an omni-directional local phase slope estimator.

TL;DR: An adaptive robust approach for actuator fault-tolerant control of a class of uncertain nonlinear systems is proposed in this paper, where the authors claim that two chief ways in which the system performance can de-grade following an actuator-fault are undesirable transients and unacceptably large steady-state tracking errors.

TL;DR: In this article, a Markov repairable system with stochastic regimes switching is introduced, where the transition rate matrices under distinct operating regimes are assumed to be different and the sojourn times in dis-tinct regimes are governed by a finite state Markov chain.

TL;DR: In this article, a novel adaptive neural control scheme which contains fewer learning parameters is developed to solve the stabilization problem of uncertain stochastic nonlinear strict-feedback systems with both unknown dead-zone and unknown gain functions.

TL;DR: An improved predictive algorithm-exponential smoothing predictive algorithm (ESPA) is presented, with the aid of an additive proportion and differential (PD) controller, that decreases the system predictive delay effectively.

TL;DR: A method of synthesizing HRRP based on the fast Fourier transform (FFT) and decoding is proposed and the simulation results demonstrate the validity of the conclusions.

TL;DR: In this article, a new method for image fusion based on Contourlet transform and cycle spinning is proposed, which can effectively eliminate the Gibbs-like phenomenon, extract the characteristics of original images, and preserve more important information.

TL;DR: An anonymous multipath routing protocol based on secret sharing that provides identity anonymity, location anonymity, data and traffic anonymity by employing cryptograph technology and secret sharing in MANET communication process and results show that the proposed scheme provides a reasonably good level of network security and performance.

TL;DR: In this paper, an observer-based robust fault detection filter (FDF) as a residual generator was formulated in the framework of H∞ filtering for a class of stochastic time-varying systems.

TL;DR: A novel modified optimization technique known as the multi-objective micro particle swarm optimization (MO-MicPSO) is proposed for polyphase coded signal design in this paper, which requires only a small population size compared with the standard PSO that uses a larger population size.