This paper proposes a systematically method for generating high-dimensional grid multi-scroll attractors (GMSAs), including 3-D, 4-D, 5-D and even higher-dimensional GMSAs. Firstly, based on a third-order linear syste...
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ISBN:
(纸本)9781467371902
This paper proposes a systematically method for generating high-dimensional grid multi-scroll attractors (GMSAs), including 3-D, 4-D, 5-D and even higher-dimensional GMSAs. Firstly, based on a third-order linear system, higher-order linear systems are constructed by introducing state feedback controllers. Then, switching piecewise linear (PWL) functions, including stair function and saturated series function, are introduced, respectively, to make the higher-order systems generate high-dimensional GMSAs. Besides, some basic dynamical properties of GMSA systems are investigated and numerical simulations are given to demonstrate the feasibility of the proposed method.
In this paper, a novel interval type-2 fuzzy logic controller (IT2FLC) is proposed for controlling a mobile wheeled inverted pendulum(MWIP) with model uncertainties and external disturbances. The MWIP is a typical und...
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ISBN:
(纸本)9781467384155
In this paper, a novel interval type-2 fuzzy logic controller (IT2FLC) is proposed for controlling a mobile wheeled inverted pendulum(MWIP) with model uncertainties and external disturbances. The MWIP is a typical underactuated system which is generally composed of two subsystems, an invert pendulum and a mobile robot system. The IT2FLC proposed in this paper is composed of a balancing controller, a velocity controller and a yaw steering controller. The proposed integrated IT2FLC is linear combination of the three individual IT2FLCs which uses simplified type reduce method. The proposed controller has simple structure and requires less computation, also it is expected to have robustness to uncertainties and external disturbances in the practical implementation. Considering the model uncertainties and external disturbances, simulation results proved the effectiveness and robustness of the proposed IT2FLC compared with type-1 fuzzy logic controller (T1FLC).
A human motion intent estimation algorithm based on laser ranger finder and force sensors is designed for a walking-aid robot. By applying the proposed algorithm to the robot, the user can operate the walking-aid robo...
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ISBN:
(纸本)9781479987313
A human motion intent estimation algorithm based on laser ranger finder and force sensors is designed for a walking-aid robot. By applying the proposed algorithm to the robot, the user can operate the walking-aid robot more fluently, comfortably and safely. A walking-aid or rehabilitation robot normally estimates the user's motion intention by measuring the interactive forces between human and robot. Whereas, the human motion should be represented as a coordination between the arms and the legs movements. This study therefore proposes a human motion intent estimation algorithm by fusing the motion intentions detected by the force sensors and the laser ranger finder, which are used to monitor the movements of arms and legs respectively. A special arrangement of push-pull force sensors is implemented for estimating the human motion intention I from user's operations on the handles. Meanwhile the human motion intention II is extracted by a laser ranger finder observing the user's movement of legs. A multi-sensor fusion algorithm is employed to fuse these two estimates. Experimental results are presented to show the validity of the proposed human motion intent estimation algorithm.
The rapid progress in the research and development of electronics, sensing, signal processing, and communication networks has significantly advanced the state of applications of intelligent transportation systems(ITS)...
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ISBN:
(纸本)9781467374439
The rapid progress in the research and development of electronics, sensing, signal processing, and communication networks has significantly advanced the state of applications of intelligent transportation systems(ITS). However, efficient and low-cost methods for gathering information in large-scale roads are lacking. Consequently, wireless sensor network(WSN) technologies that are low cost, low power, and self-configuring are a key function in ITS. The current state of the art of application scenarios of WSNs for urban transportation is captured in this paper, where solutions are discussed under their related application schemes. This paper also points out the potential application scenarios and design requirements of WSN for urban transportation.
In this paper, quantitative analysis was implemented to reveal the mechanism of temperature distributions inside cross-flow stack. For this purpose, a differential model of planar cross-flow SOFC stack was built. The ...
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ISBN:
(纸本)9781467371902
In this paper, quantitative analysis was implemented to reveal the mechanism of temperature distributions inside cross-flow stack. For this purpose, a differential model of planar cross-flow SOFC stack was built. The effectiveness of this model on describing temperature distributions were full validated by experiments on single cell and a 40-cell stack. Then, the quantitative analysis was given from two aspects, namely heat produced by reactions and heat transmission between gases and solid layer. Particularly, we rigorously revealed the non-intuitive phenomenon that the fuel temperatures were decreasing inside SOFC stack along the fuel flow direction. Moreover, the research idea and the analytical method proposed in this paper also apply to co-flow and counter-flow SOFC.
A large electrolytic capacitor is always used to make dc-link voltage stable in a single-phase to three-phase power converter. However, the large electrolytic capacitor occupies a large volume and has a short lifetime...
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ISBN:
(纸本)9781467371902
A large electrolytic capacitor is always used to make dc-link voltage stable in a single-phase to three-phase power converter. However, the large electrolytic capacitor occupies a large volume and has a short lifetime as to the home appliances. And additional PFC circuit is needed to correct the grid current. In order to settle these issues, a converter without electrolytic capacitor is studied in this paper. The q-axis current reference is modified for the high grid power factor operation. And the d-axis current reference is generated to achieve the flux-weakening control and to improve the waveform of the output currents and. Proportional-resonant controllers are adopted to obtain the better current performance. The simulation results verify the validity and feasibility of the proposed method.
In the coming aging society, it is extremely important to develop devices, which can support and aid the elderly in their daily life. In this paper a multi-sensor based human motion intention recognition algorithm is ...
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ISBN:
(纸本)9781467396769
In the coming aging society, it is extremely important to develop devices, which can support and aid the elderly in their daily life. In this paper a multi-sensor based human motion intention recognition algorithm is proposed for walking-aid robot. The mechanism of walking-aid robot was first introduced. Then human intent motion was estimated by force sensors and LRF respectively. A new concept called intentional motion (IM) is proposed to quantitatively describe this moving intention and then estimated by conventional Kalman filter. Based on the two human intent motions estimated by force sensors and LRF, IM can be online inferred by applying Kalman filter method. Finally, the validity of the proposed algorithm is confirmed by the experiments. The experimental results show that the user feels more natural and comfortable when our multi-sensor based human motion intention recognition algorithm is applied.
Small target detection is a critical problem in the Infrared Search And Track (IRST) system. Although it has been studied for years, there are some challenges remained, e.g. cloud edges and horizontal lines are likely...
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In this paper, an adaptive fuzzy sliding mode control approach which combines fuzzy control with the sliding mode control, is applied for the tracking control of pneumatic muscle actuator (PMA). This actuator is widel...
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In this paper, an adaptive fuzzy sliding mode control approach which combines fuzzy control with the sliding mode control, is applied for the tracking control of pneumatic muscle actuator (PMA). This actuator is widely used in the rehabilitation robots while hard to control due to its strong nonlinearity. The switching-type control term in the sliding mode control law is approximated by a fuzzy system. Based on Lyapunov theory, the stability of the closed-loop PMA system can be guaranteed. Both simulation and experimental studies were carried out to verify the proposed methods. The experiments were conducted on a real PMA system, which was connected with the xPC target system. The results demonstrate the validity of the PMA as well as the effectiveness of the control algorithm even there exist system uncertainties and external bounded disturbances.
This paper develops a method to learn very few discriminative part detectors from training videos directly, for action recognition. We hold the opinion that being discriminative to action classification is of primary ...
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ISBN:
(纸本)9781479961016
This paper develops a method to learn very few discriminative part detectors from training videos directly, for action recognition. We hold the opinion that being discriminative to action classification is of primary importance in selecting part detectors, not just intuitive. For this purpose, part selection based on feature selection is proposed, employing SVM method. Firstly, large number of candidate detectors are trained using k-means and Exemplar-LDA techniques in whitened feature space. Secondly, each candidate part detector is regarded as a visual feature, so that detector selection can be achieved by feature selection. Detectors with larger weight, indicating more discriminative, will be selected. Meanwhile, to keep space-volume structure information, we use the novel method saliency-driven pooling to form feature primitives which are concatenated into mid-level feature vector. Finally, we conduct experiments on three challenging action datasets (KTH, Olympic Sports, HMDB51) and the results outperform the state-of-the-art.
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