In traditional speech emotion recognition researches, speech is modeled as linear and short-term stationary signal, with Fourier analysis used as the foundation of speech signal processing and feature extraction. To o...
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To better handle the problem on robust stability for neutral controlsystems, in which time-varying delay was involved, a stability criterion with less conservatism was put forward. Firstly, a novel Lyapunov-Krasovski...
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To better handle the problem on robust stability for neutral controlsystems, in which time-varying delay was involved, a stability criterion with less conservatism was put forward. Firstly, a novel Lyapunov-Krasovskii functional was constructed based on the uncertain neutral control system model. The generalized convex combination and integral inequality techniques were altogether employed, which can help to estimate the derivative of Lyapunov-Krasovskii functional and effectively extend the application area of the results. Secondly, by taking the lower and upper bounds of time-delays and their derivatives, a criterion on asymptotical and robust stability were presented in terms of linear matrix inequality (LMI), which can be easily checked by resorting to LMI in Matlab Toolbox. Finally, through one numerical example the criterion was compared with relative ones. The smaller delay upper bound was obtained by the criteria, which demonstrates that our stability criterion can reduce the conservatism more efficiently than those earlier ones.
A probabilistic algorithm is proposed for the problem of simultaneous robot localization and peopletracking （SLAP） using single onboard sensor in situations with sensor noise and global uncertainties over the obser...
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A probabilistic algorithm is proposed for the problem of simultaneous robot localization and peopletracking （SLAP） using single onboard sensor in situations with sensor noise and global uncertainties over the observer＇s pose. By the decomposition of the joint distribution according to the Rao-Blackwell theorem, posteriors of the robot pose are sequentially estimated over time by a smoothed laser perception model and an improved resampling scheme with evolution strategies; the conditional distribution of the person＇s position is estimated using unscented Kalman filter （UKF） to deal with the nonlinear dynamic of human motion. Experiments conducted in a real indoor service robot scenario validate the favorable performance of the positional accuracy as well as the improved computational efficiency.
The mean-square exponential stability problem is investigated for a class of stochastic time-varying delay systems with Markovian jumping parameters. By decomposing the delay interval into multiple equidistant subinte...
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The mean-square exponential stability problem is investigated for a class of stochastic time-varying delay systems with Markovian jumping parameters. By decomposing the delay interval into multiple equidistant subintervals, a new delay-dependent and decay-rate-dependent criterion is presented based on constructing a novel Lyapunov functional and employing stochastic analysis technique. Besides, the decay rate has no conventional constraint and can be selected according to different practical conditions. Finally, two numerical examples are provided to show that the obtained result has less conservatism than some existing ones in the literature.
To design an energy efficient data collection scheme instead of multi-hop data relay is essential for Wireless Sensor Networks. To many proposed data gathering approaches, the long data delay is the main problem. In t...
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In this paper, the speed-regulation problem for permanent magnet synchronous motor (PMSM) system under vector control framework is studied. For the speed loop, a standard internal model controller is first designed ba...
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This paper investigates the finite-time attitude stabilization problem for a rigid spacecraft with an unknown inertia matrix. By using homogeneous approach, a local continuous finite-time controller is first designed ...
The idea of M2M platform proposes a completely new system architecture for positioning and monitoring applications with wider coverage and higher communication efficiency. With the comparison of the original communica...
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To solve the difficulty that the applications of disturbance observer (DOB) approaches have been limited to minimum phase systems, a neural network disturbance observer using RBFN (RBFNDOB) is proposed for complex non...
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Robust real-time tracking of non-rigid objects is a challenging task. Color is a powerful feature for tracking deformable objects in image sequences with complex backgrounds. Color distribution is applied, as it is ro...
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