According to the actual circumstance of the intersection,reasonably adjusting traffic light time can help to ease traffic pressure and save transportation *** this paper,Interval type-2 fuzzy sets and matched-degree a...
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According to the actual circumstance of the intersection,reasonably adjusting traffic light time can help to ease traffic pressure and save transportation *** this paper,Interval type-2 fuzzy sets and matched-degree are applied to the time of intersection signal adjusting,and five words are used to cover the range of adjusting lights’time,finally according to the average number of stranded vehicles,a query table is built to inquire and control the signal time during a certain period.
Assessment and analysis of the intersection status can help to make the right choice of interventions,it’s can bring convenience to solve the traffic *** this paper,interval type-2 fuzzy sets is applied in the analys...
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Assessment and analysis of the intersection status can help to make the right choice of interventions,it’s can bring convenience to solve the traffic *** this paper,interval type-2 fuzzy sets is applied in the analysis of the intersection state and congestion intervention,dynamic fuzzy comprehensive evaluation and footprint of uncertainty are used to assess the intersection *** with the example of intersection congestion,through corresponding intervention measures to improve the intersections crowded *** the linguistic dynamic orbits of road status figured out.
Tracking law designed for future Mars entry missions is investigated in this article. For precision landing, the nonlinear entry dynamics, complex uncertainties and input saturation constraints are unavoidable problem...
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Tracking law designed for future Mars entry missions is investigated in this article. For precision landing, the nonlinear entry dynamics, complex uncertainties and input saturation constraints are unavoidable problems. Facing these challenges, the Mars entry trajectory tracking scheme via constrained multi-model predictive control (CMPC) is employed. The CMPC is made up of some constrained predictive control (CPC) in different time domain during the Mars entry mission. Each constrained predictive controller consists of a linearized prediction model (obtained by linearizing at different operating point), feedback correction for active model mismatch rejection caused by the complex uncertainties, and constrained rolling optimization for a smooth control input under a saturation constraint. Monte Carlo simulations demonstrate the effectiveness and excellence of the proposed method under the saturation constraint of input and uncertainties of initial state and aerodynamic parameters such as atmospheric density, ballistic coefficient and lift-to-drag ratio.
作者:
Ran HaoDelin LuoHaibin DuanSchool of Reliability and Systems Engineering
Beihang UniversityBeijing100191 China Department of AutomationXiamen UniversityXiamenChina Science and Technology on Aircraft Control LaboratorySchool of Automation Science and Electrical EngineeringBeihang UniversityBeijingChina
Unmanned aerial vehicles (UAVs) have shown their superiority for applications in performing military and civilian *** which,multiple UAVs mission assignment is becoming more important for today's military *** ...
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ISBN:
(纸本)9781479946983
Unmanned aerial vehicles (UAVs) have shown their superiority for applications in performing military and civilian *** which,multiple UAVs mission assignment is becoming more important for today's military *** far,there have been many bio-inspired computation algorithms for solving multiple UAVs mission assignment problems,including particle swarm optimization (PSO),differential evolution algorithm (DE) and so ***,deficiencies of these approaches exist inevitably,which cannot satisfy the requirements of dynamic mission *** this paper,a new UAV assignment model focusing on the energy consumption of UAV is brought up which can be easily applied to intelligence ***,we propose a new approach by applying the modified Pigeon-Inspired Optimization (PIO) algorithm to sovle the multiple UAVs mission assignment *** simulation results show that the modified PIO algorithm is more effective when compared with other state-of-the-art algorithms in addressing mission assignment problem for multiple UAVs.
The increased traffic flow on both existing highways and city roads leads to the appearance of stop-and-go waves which have many disadvantages, e.g., increased risk of accidents, higher fuel consumption, increased pol...
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The increased traffic flow on both existing highways and city roads leads to the appearance of stop-and-go waves which have many disadvantages, e.g., increased risk of accidents, higher fuel consumption, increased pollution, increased wear of vehicle mechanical parts, driving stress and passenger discomfort. The platooning of vehicles could be the solution to this problem by enforcing them to follow each other and to maintain a safe distance between them. The advantages brought by this solution depend on ensuring the string stability of the vehicle platoon. In this paper the leader-follower system is employed to illustrate the stop-and-go waves mitigation. Several controllers (P, PI) were designed based on the conditions that have to be met in order to ensure the string stability of the vehicle platoon and comparisons were made with a controller based on the driver behavior.
This paper studies the index problem. We obtain a necessary and sufficient condition of index larger than γ > 0. A generalized differential equation is introduced and it is proved that its solvability and the feas...
This paper studies the index problem. We obtain a necessary and sufficient condition of index larger than γ > 0. A generalized differential equation is introduced and it is proved that its solvability and the feasibility of the index are equivalent. We extend the deterministic cases to the stochastic models. Our results can be used to fault detection filter analysis. Finally, the effectiveness of the proposed results is illustrated by an example.
A monocular vision measurement approach is presented for leader-follower robotic system to estimate the position of the leader robot relative to the follower robot. The color identifier with green and red blocks is at...
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ISBN:
(纸本)9781479939800
A monocular vision measurement approach is presented for leader-follower robotic system to estimate the position of the leader robot relative to the follower robot. The color identifier with green and red blocks is attached on the back of the leader robot, and it may be captured by the camera mounted on the follower robot. A coarse-to-fine searching method is given to extract the center point of the identifier. The parameters of the camera with the combination of the intrinsic and extrinsic ones are calibrated via least square method with given relative positions and the corresponding image coordinates of the identifier's center. The parameters are further optimized with Levenberg-Marquardt method. Then the position of the leader robot relative to the follower robot can be estimated only with single feature point. The experimental results verify the validity of the given approach.
Virtual instrumentation is used increasingly along with traditional measurement devices. They allow measurement and control of various parameters, simulated testing of models of real processes and provide convenient u...
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Virtual instrumentation is used increasingly along with traditional measurement devices. They allow measurement and control of various parameters, simulated testing of models of real processes and provide convenient user interface by giving an opportunity to build an Internet-based virtual laboratories. This paper presents the results of the development of a computer-based system for data acquisition and LabVIEW virtual instruments for measuring humidity and temperature, enabling the creation of Internet-based virtual laboratories. This virtual instrumentation makes possible both remote measurement of humidity and temperature and training outside educational laboratories. The proposed approach allows remote conducting of real experiments and makes it possible to use virtual instruments in the field of training engineering students where it is essential to have practice hours.
In this paper, a model-free adaptive switching control (MFASC) approach is proposed for a class of discrete-time nonlinear systems with unknown control direction. The control scheme consists of a control algorithm, a ...
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In this paper, a model-free adaptive switching control (MFASC) approach is proposed for a class of discrete-time nonlinear systems with unknown control direction. The control scheme consists of a control algorithm, a parameter estimation algorithm and a switching mechanism. Its distinct feature is that the controller design depends merely on the measured input and output data of the controlled plant without requiring any other modeling information of the plant, and it is able to deal with the system with unknown control direction by introducing a hysteresis switching mechanism. Numerical simulations show the effectiveness of the proposed approach.
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