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The unmanned multi-ducted-fan flying vehicle is a kind of novel multi-purpose platform for future transportation. In this paper, flight dynamics model is established based on aerodynamics principles and rigid body dynamics theory. To make the controller of the multi-ducted fan flying vehicle more robust, a double closed loop PID controller is put forward with non-smooth parameters optimization method...
The paper proposed a method for a quadruped robot control system based Central Pattern Generator (CPG) and fuzzy neural networks (FNN). The common approach for the control of a quadruped robot includes two methods mainly. One is the CPG that is based the bionics, the other is the dynamic control that is based the model of quadruped robot. The control result of CPG is decided by the gait data of the...
This paper focuses on modeling and robust hover control system design for a novel multi-tandem ducted fan vehicle. A comprehensive nonlinear model for this unmanned aircraft, considering main aerodynamic coupling and actuator dynamics, is first presented. For the sake of low order controllers, the two-layer controller structure with only three-order controllers, is adopted to construct a flight control...
In the environment of knowledge economy, it is necessary to make an effective incentive for the knowledge workers. While the general explicit contracts can improve the innovation of the knowledge workers to a certain extent, the characteristics of the knowledge workers as well as knowledge products will make innovative activities short-term behavior. Base on the characteristics of knowledge production,...
Influenced by a number of uncertain factors, Unemployment rate of college graduates has characteristics of stochastic nature and fluctuations. Single gray GM (1,1)model could not fit these data better, and its forecasting accuracy is lower. However, Markov forecast can make up for this deficiency. Drawing on the virtue of gray model and Markov forecasting model, this paper presents a grey-Markov forecasting...
Data aggregation is an efficient method to decrease the energy consumption in wireless sensor networks. The structure based data aggregation algorithm is not suitable for the application of dynamic events, because the structured sensor network requires higher communication overheads to capture the event when the data sources are changing dynamically. We propose an energy efficient data aggregation...
The paper proposed a particle filter based and Wireless Sensor Networks (WSN) aided Simultaneous Localization and Mapping (SLAM) strategy. The proposed method aims at solving two troublesome problems in the traditional particle filter based SLAM algorithms. The first problem is high dimension of question space; and the second one is multi-date association. Firstly, the paper analysed the model of...
The paper proposed a range-based particle filtering localization method for static WSN (Wireless Sensor Network). In the method, every blind node in WSN localizes itself through local distance measurements. So the method is parallel. With the development of hardware, RSSI (Received Signal Strength Indicator) measurements were already hardwired in some chips, and then almost no extra hardware was required...
Analyzing the measuring errors of nodes using received signal strength indications (RSSI) method, such as the parameter error of RSSI theoretical model and the obstacle error between neighbor nodes, this paper proposed a localization algorithm based on analyzing of RSSI errors in wireless sensor networks called ERSSI. Based on the two errors mentioned, it got the online parameter changing method for...
In this paper, a newly vision-based localization method for mobile robots is presented. The cost of hardware for this localization system is very low. Based on background subtraction and optical flow tracking, the presented method overcomes the shortcoming of general background subtracting method- being sensitive to noises and interferences of other mobile objects. Besides, the presented method is...
Energy problem is a key issue for the wireless sensor network with limited batteries. It's a good idea to select a head node for data aggregation to save the energy of data transmitting. However, many algorithms don't consider the whole integrated network situation for head node selection. We proposed an energy efficient head node selection method for data aggregation. In this algorithm, three aspects...
Localization is one of important functions in Wireless Sensor Networks (WSNs). And Data fusion is commonly regarded as an efficient method that can improve precision of localization. The paper proposed a novel method based on nonparametric estimation techniques and Radial Basis Function (RBF) Neural Networks to decrease the indeterminacy of Time Difference of Arrival (TDOA) and Received Signal Strength...
In this paper, a neural network approach named shortest path neural networks (SP-NN) is proposed for real-time on-line path planning. Based on grid-based map and mapping this kind of map to neural networks, this proposed method is capable of generating the globally shortest path from the target position to the start position without collision with any obstacles. The dynamics of each neuron is distinctive...
Teleoperation system plays an important role in executing tasks under hazardous environments. Unfortunately, most of the traditional teleoperation systems are expensive and bulky thus not suitable to provide real-world services. This paper introduces a novel architecture for the teleoperation of mobile robot based on Personal Digital Assistant(PDA) with mobility, facility and low cost. The architecture...
The paper proposed combining traditional quadtrees and framed-quadtrees with the shunting equation based neural network model to improve the efficiency of path planning. The introduction of quadtrees is used for improving the efficiency of the trajectory generation and enlarging the representation capability of maps, especially in sparse environments. And the introduction of framed-quadtree is used...
The paper proposed a method for a quadruped robot control system based central pattern generator (CPG) and fuzzy neural networks (FNN). The common approach for the control of a quadruped robot includes two methods mainly. One is the CPG that is based the bionics, the other is the dynamic control that is based the model of quadruped robot. The control result of CPG is decided by the gait data of the...
A composed localization error estimation method is presented for the application in wireless sensor networks (WSNs) which employs maximum likelihood (ML) to locate. Two statistic indexes are given in this method to characterize the whole localization performance of WSN in error aspect. The number of WSN nodes can be determined before deploying to achieve the necessary localization accuracy. Through...
The 9-Link dynamic model of a quadruped robot is built with Lagrangian method. Building the model from system view . Simplify the control of a quadruped robot under the four legs full supporting as the problems of tracking control of the truck motion, and the simple model is give. The motion of the robot under four legs full supporting is controlled by robust control. Settling the effect of the external...
Wireless sensor networks is one of important information acquisition methods and also has been a promising technique for many applications in recent years. Node localization is one of challenging and fundamental topics in distributed WSNs research. The goal of this paper is to propose an efficient range-free localization algorithm in WSN. We use directional antennas other than omnidirectional antennas...
A map building method based on wireless sensor networks (WSNs) is presented in this paper which applies the technology of WSNs to the field of mobile robots. In our scheme, a series of factors blocking the mobile robot are considered carefully and besides, multiple information is employed to develop the practicability of maps. The general used gird map is provided through our method. Extensive simulations...
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