This paper proposes an H polytopic lter design for a nonlinear system. Based on the polytopic approximation of the nonlinear system, the polytopic lter design is converted into a group of linear matrix inequalities(L...
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This paper proposes an H polytopic lter design for a nonlinear system. Based on the polytopic approximation of the nonlinear system, the polytopic lter design is converted into a group of linear matrix inequalities(LMIs) so that the polytopic lter parameters can be effectively acquired by numerical convex optimization algorithms. At this stage, the tensor product(TP) model transformation is utilized to compute the polytopic approximation of the nonlinear system. Particularly, a new recti cation procedure is further developed to obtain a specific polytopic approximation with all the vertex systems being stable, which premises the solvability of the LMIs. The method is much easier to be implemented than traditional approaches such as the Hamilton-Jacobi inequality(HJI)-based methods. Simulation demonstrates the method is much less conservative than the existing method and has good estimation performance.
Since computer system functions are becoming increasingly complex, the user has to spend much more time on the process of seeking information, instead of utilizing the required infor- mation. Information intelligent p...
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Since computer system functions are becoming increasingly complex, the user has to spend much more time on the process of seeking information, instead of utilizing the required infor- mation. Information intelligent push technology could replace the traditional method to speed up the information retrieval process. The fuzzy cognitive map has strong knowledge representation ability and reasoning capability. Information intelligent push with the basis on fuzzy cognitive map could ab- stract the computer user' s operations to a fuzzy cognitive map, and infer the user' s operating inten- tions. The reasoning results will be translated into operational events, and drive the computer system to push appropriate information to the user.
The integrated navigation system can improve the navigation accuracy utilizing the redundant *** Extended Kalman Filter(EKF) is commonly used in the integrated navigation *** usually takes only one-order of Taylor exp...
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ISBN:
(纸本)9781467383196
The integrated navigation system can improve the navigation accuracy utilizing the redundant *** Extended Kalman Filter(EKF) is commonly used in the integrated navigation *** usually takes only one-order of Taylor expansion and needs to calculate the Jacobian matrix,which will affect the accuracy and numerical stability of the system *** in this paper the application of Square-Root Cubature Kalman Filter(SCKF) method was proposed to solve the above problems in the SINS/CNS integrated navigation *** simulation results show that the position,velocity and attitude errors are reduced effectively compared with the EKF *** SCKF method is more suitable for the state estimation problems in integrated navigation system.
Dealing with time delayed measurements is a key problem of cooperative navigation for multiple autonomous underwater vehicles(MAUVs).In this work,in order to solve the invalidation of location due to the time delayed ...
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ISBN:
(纸本)9781467383196
Dealing with time delayed measurements is a key problem of cooperative navigation for multiple autonomous underwater vehicles(MAUVs).In this work,in order to solve the invalidation of location due to the time delayed measurements,an algorithm which based on the augmented extended Kalman filter(AEKF) is *** algorithm expands the variable dimension of slave AUV according to the time delayed measurements,and infers the fundamental equations of *** to the traditional EKF method,simulation results prove that AEKF has higher positioning accuracy.
The optimization of the energy consumption is one of the most important problems that face the designers of mobile robots. This implies that it is significant to analyze the energy consumption of hydraulic quadruped r...
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ISBN:
(纸本)9781467374439
The optimization of the energy consumption is one of the most important problems that face the designers of mobile robots. This implies that it is significant to analyze the energy consumption of hydraulic quadruped robot under different gait parameters. In this paper, the kinematics and dynamics models of a hydraulic quadruped robot are established firstly. Then, the length of step, the height of step, the height of center of mass, and the duty ratio of gait cycle are set as the primary research points about the energy consumption of mobile robot. In addition, the energy consumptions of the feet with and without mechanical springs are compared and analyzed. In order to get the visual observation of energy cost in the hydraulic quadruped robot during a waking cycle and the best set of locomotion variables that achieve the energy optimization, related simulations are done for gait parameters. Finally, the results provide a recommendation for the gait planning of the hydraulic quadruped robot, that is, the quadruped robot should walk with a relatively long step length, a relatively low height of step, a relatively high height of center of mass, and a relatively small duty ratio of gait cycle.
In the field of target tracking and navigation,multi-sensor data fusion has been widely *** of the data fusion algorithms are built on the premise that the sensor observation information is ***,in practical problems,d...
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ISBN:
(纸本)9781509009107
In the field of target tracking and navigation,multi-sensor data fusion has been widely *** of the data fusion algorithms are built on the premise that the sensor observation information is ***,in practical problems,due to the limitation of communication and sensor fault,etc.,data missing or unreliable measurements will happen *** addition,at present a lot of research is aimed at the situation where measurement noise between various sensors is not relevant,and process noise and measurement noise is *** correlation is more *** this paper,a multi-rate multi-sensor data fusion state estimation algorithm with unreliable observations under correlated noises is presented.A numerical example is given to show the feasibility and effectiveness of the presented algorithm.
By combining wavelet transform and increment sign correlation with iterative correction,we present a robust image matching method,which effectively reduced ***,by decomposing the sensed image and the reference image w...
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ISBN:
(纸本)9781509009107
By combining wavelet transform and increment sign correlation with iterative correction,we present a robust image matching method,which effectively reduced ***,by decomposing the sensed image and the reference image with wavelet,smooth images are generated in coarse *** the use of increment and decrement information of adjacent pixels,smooth images are encoded into binary images,and the matching position can be found by use of the cross correlation *** decomposition can effectively remove noise and greatly improve the real-time performance of matching algorithm while increment sign correlation method is not sensitive to the gray level of *** combination of wavelet transform and increment sign correlation can deal with noise,shadow and occlusion as well as improve the matching speed compared with traditional matching *** the condition of heavy noise and occlusion that the matching method mentioned above can not find the correct position in condition of heavy noise and occlusion,we present an iterative correction image matching method,*** the above matching result as prior knowledge and achieve the correct matching position by correcting matching results *** analysis shows the feasibility of the presented method,and our experiments show its validity.
This article presents two efficient scene matching methods based on sparse representation,which are robust to noise and *** process of searching for the correct matching position in the reference image can be consider...
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ISBN:
(纸本)9781509009107
This article presents two efficient scene matching methods based on sparse representation,which are robust to noise and *** process of searching for the correct matching position in the reference image can be considered as finding a certain atom in a dictionary to represent the vectorized sensed *** atoms that form the dictionary are vectorized blocks which represent all the possible matching *** also use two steps matching to speed up the running time,and further improve the performance to some *** demonstrate that our scene matching methods perform better than traditional methods due to the inherent robustness to corruption of sparse representation.
At present, the studies on multi-team antagonistic games (MTAGs) are still in the early stage, because this complicated problem involves not only incompleteness of information and conflict of interests, but also selec...
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Force reflection methods are widely used in teleoperation with force sensors on slave manipulator. However, force sensors would impair manipulator structure and may be installed or maintained difficultly on slave site...
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ISBN:
(纸本)9781467374439
Force reflection methods are widely used in teleoperation with force sensors on slave manipulator. However, force sensors would impair manipulator structure and may be installed or maintained difficultly on slave site. Additionally, in some tasks operator pays more attention to control the exerted force on environment than to fell the reflection force. Considering these factors, a force sending method is proposed in this paper with force sensors installed only on master manipulator. Adjusted virtual force is provided to operator on master site. Operator force sending and slave manipulator position tracking are achieved without conflict on slave site. Stability analysis is presented based on ISS(input-to-state stability) method and numerical simulations are given to show the effectiveness.
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