Simulator for smart wheelchairs is of great significance for both driver training and algorithm design. A development and simulation platform for wheelchairs is presented in this paper. On this platform, simulations o...
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In this paper, the modelling of a class of distributed water supply networks is considered, where the modelling of pipes, valves, pump stations and reservoirs are presented separately. Two laws, nodal mass balance and...
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In this paper, the modelling of a class of distributed water supply networks is considered, where the modelling of pipes, valves, pump stations and reservoirs are presented separately. Two laws, nodal mass balance and energy conservation, are introduced to derive a general model for the water supply networks. The pumps are assumed to be working in parallel and a hybrid model is provided to describe the dynamics of pump stations, the discrete/ continuous variables in which represent the status (on or off) and the speed of pumps, respectively. Finally, a case study is given to illustrate the effectiveness of our proposed methods.
A ground controlsystem (GCS) for unmanned aerial vehicles (UAV) is developed in this paper. Different tasks, which include real time communication between GCS and UAVs, data processing and storing, localization, path...
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A ground controlsystem (GCS) for unmanned aerial vehicles (UAV) is developed in this paper. Different tasks, which include real time communication between GCS and UAVs, data processing and storing, localization, path planning and so on, can be accomplished in the proposed GCS. To address the issue of path planning problem for UAVs, a new path planning algorithm based on potential function is proposed to drive the UAV to its destination in this paper. Time-varying gain adjusting method is used to enable the UAV obstacle avoidance ability under the constraints for the translation velocity. Lyapunov based analysis is used to prove the stability of the proposed algorithm. Numerical simulation results are included to demonstrate the performance of the proposed path planning design.
Human interest input could greatly enhance the efficiency of the multi-robot exploration. However, most of the previous work did not take the intention of the operator into account. In this paper, a human interest ori...
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ISBN:
(纸本)9781479927456
Human interest input could greatly enhance the efficiency of the multi-robot exploration. However, most of the previous work did not take the intention of the operator into account. In this paper, a human interest oriented multi-robot exploration system is designed. The system is composed of a mobile base station and several robot explorers. A human interest oriented task allocation method is developed to enable these robot explorers to coordinate based on the operator's intention. Furthermore, an optimization index is proposed to balance the obedience, connectivity and explorability of the system; and the optimization problem is solved to generate the movements of the mobile base station and the robot explorers. Simulations and real-world experiments have demonstrate the effectiveness of the system and the efficiency of the exploration process.
This paper presents several notes on the robust control method proposed in [Dong et al (2013), Sampled-data design for robust control of a single qubit. IEEE Transactions on Automatic control, in press] and furthermor...
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This paper presents several notes on the robust control method proposed in [Dong et al (2013), Sampled-data design for robust control of a single qubit. IEEE Transactions on Automatic control, in press] and furthermore improves the original sampling periods so that this control method can be better and more easily realized. For the case of amplitude damping decoherence, a larger sampling period is presented when the upper bound of the probability of failure is small enough. For the case of phase damping decoherence, a larger sampling period is given when the lower bound of the target coherence is large enough. Furthermore, we provide improved sampling periods for both of the above two cases under the same assumption as that in [Dong et al (2013), Sampled-data design for robust control of a single qubit. IEEE Transactions on Automatic control, in press].
In this paper, we present an improved analytic method to the optimal trajectory generation of an autonomous underwater vehicle (AUV) in a dynamic environment. The proposed approach explicitly incorporates both the AUV...
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In this paper, we present an improved analytic method to the optimal trajectory generation of an autonomous underwater vehicle (AUV) in a dynamic environment. The proposed approach explicitly incorporates both the AUV kinematic and the geometric constraints due to dynamic obstacles and the terrain while rendering the near-shortest path by a performance index related to the path length. In particular, the proposed design is based on a family of parameterized trajectories determined by three adjustable parameters, which provides a unified way to reformulate the geometric constraints and performance index into a set of parameterized constraint equations. To that end, such a constrained optimization problem boils down to optimize those adjustable parameters, which can be analytically solved in the parameter space. The proposed solution enhances the methodologies of real-time path planning for robots in 3D environment. Simulation results verify the effectiveness of the proposed method.
Based on chaotic oscillator system, this paper proposes a novel method on high frequency low signal- to-noise ratio BPSK( Binary Phase Shift keying) signal detection. Chaotic oscillator system is a typical non-lin- ...
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Based on chaotic oscillator system, this paper proposes a novel method on high frequency low signal- to-noise ratio BPSK( Binary Phase Shift keying) signal detection. Chaotic oscillator system is a typical non-lin- ear system which is sensitive to periodic signals and immune to noise at the same time. Those properties make it possible to detect low signal-to-noise ratio signals. The BPSK signal is a common signal type which is widely used in modern communication. Starting from the analysis of advantages of chaotic, os~.illator system and signal features of the BPSK signal, we put forward a unique method that can detect low signar-to-noise ratio BPSK sig- nals with high frequency. The simulation results show that the novel method can dclct.t low signal-to-noise ratio BPSK signals with frequency in an order of magnitude of l0s Hz, and the input Signal-to-Noise Ratio threshold can be -20 dB.
The growing requirements of steel products qualities bring even tricky restrictions to the hydraulic cylinder which acts as a screw down to maintain the rolling spaces ***,faults and disfunctions are unavoidable and b...
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The growing requirements of steel products qualities bring even tricky restrictions to the hydraulic cylinder which acts as a screw down to maintain the rolling spaces ***,faults and disfunctions are unavoidable and bring underlying safety *** with un-expected loading is one of major impact that may cause catastrophic consequence happen to the cylinder,as the classical diagnostic process to-some-extent lack of cross-validating and timeconsuming, the paper proposes the potentials of using acoustic emission to fill the *** works include the data acquisition process to record the ultrasound acoustic signals from the hydraulic cylinder,application of modified image based acoustic emission approach to generate visual effects,as well as the application of principal component analysis to project the profiles onto the 3D plane for further *** the analysis of image based profiles,the subtle differences of various cylinder conditions can be examined using the pixel and intensity values. By assessing the projection of profiles in the principal component space,a clear trajectory can be observed with normal and overload conditions allocated upon the positive and negative sides of the *** result provided not only the potential of using acoustic emission for dynamic state identification of the subtle changes,but also opens up the possibility of preventive measures to the cylinder at risks.
The linear and multi-hop transmission feature of wireless sensor networks on city drainage pipelines, roads, power lines and other monitoring occasions, is easy to lead to energy imbalance consumption of the network n...
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The linear and multi-hop transmission feature of wireless sensor networks on city drainage pipelines, roads, power lines and other monitoring occasions, is easy to lead to energy imbalance consumption of the network node and premature failure of the monitoring network. In this paper, the linear wireless sensor networks with sensor nodes uniformly distributed and emission capacity restricted is taken as the research object, the network energy consumption characteristic is analyzed. Network efficiency taked as optimization objective, then an efficient node deployment algorithm is proposed. Combining with network performance requirements, the optimal relay node deployment scheme and node forwards the data flow is solved to balance energy consumption and prolong the network life. Results of theoretical analysis and simulation show that the method of nodes placement and topology control can delay the “energy hole” problem and improve network efficiency. The researches for guiding nodes placement of linear wireless sensor networks is of great significance.
This paper focuses on the research of global and local path planning in complex traffic flow simulation using Micro Intelligent Vehicles (MicroIV). Firstly, a global path planning approach with time division based hie...
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This paper focuses on the research of global and local path planning in complex traffic flow simulation using Micro Intelligent Vehicles (MicroIV). Firstly, a global path planning approach with time division based hierarchical topology maps is proposed to achieve a legal optimal path with the consideration of complicated topology maps caused by the dynamic traffic rules in local intersections and lanes. Secondly, multi-agents based controlsystem architecture of MicroIV is designed where multi-autonomous driving tasks involved. Thirdly, a local path planning approach for different autonomous driving is proposed with the controlsystem architecture. Experimental results show that these proposed approaches could meet the demand of path planning for MicroIV in complex traffic flow simulation.
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