For a high energy loss and complexsystem of ball mill,this paper provide a ball mill load detection method based on genetic algorithm optimizing BP neural *** effective frequency range of mill sound signal is *** sof...
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For a high energy loss and complexsystem of ball mill,this paper provide a ball mill load detection method based on genetic algorithm optimizing BP neural *** effective frequency range of mill sound signal is *** soft measurement model of mill load based on mill sound signal is *** order to solve the problem which converge slowly and easily reach minimal value,the global optimization of GA(genetic algorithm) local optimization of BP neural network will be combined to improve the BP neural *** with the detected mill load error generated from existing BP neural network and RBF neural network based on *** experiments results show that the proposed algorithm has better precision.
Coordinated target tracking for a team of two heterogeneous Unmanned Aerial Vehicles(UAVs) is *** order to study the coordinated relationship by means of distances of UAV-to-target and UAV-to-UAV,a constraint of dista...
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ISBN:
(纸本)9781509009107
Coordinated target tracking for a team of two heterogeneous Unmanned Aerial Vehicles(UAVs) is *** order to study the coordinated relationship by means of distances of UAV-to-target and UAV-to-UAV,a constraint of distances coordination is *** from the traditional studies that focus on angular separation or communication connectivity for UAVs,this constraint takes the effect of geometric configuration for two UAVs coordination into ***,the constraint only applies to follower UAV,aiming to obtain its optimal coordinated distance to *** this way,accuracy of target state estimation and optimal geometric configuration of target tracking for UAVs are *** Information filter is used to estimate the target location on a 2-D plane,and a receding horizon approach is applied to generate the optimal control policy for two UAVs' *** results illustrated the effectiveness.
Quadruped robot has gained its popularity due to the adaptation ability of rough *** improve the walking stability and balance of quadrupeds,separate static walking methods are discussed based on specific known *** so...
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ISBN:
(纸本)9781467397155
Quadruped robot has gained its popularity due to the adaptation ability of rough *** improve the walking stability and balance of quadrupeds,separate static walking methods are discussed based on specific known *** some unknown terrains,a uniform terrain model is established in this paper.A fuzzy logic based terrain estimation method is then proposed to estimate the terrain *** on the criterion of maximum working space,a body posture and center of gravity(COG) position adjusting strategy is proposed,and a method to adjust the posture and COG position is derived based on the kinematic *** show that the proposed methods can deal with different terrains and body posture and COG position can be tuned according to the terrain.
To deal with the unsatisfactory transient response of the conventional integral sliding mode control (ISMC), A nonlinear integral sliding mode controller (NISMC) is proposed in this paper, which uses a smooth nonlinea...
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To deal with the unsatisfactory transient response of the conventional integral sliding mode control (ISMC), A nonlinear integral sliding mode controller (NISMC) is proposed in this paper, which uses a smooth nonlinear function with “small error amplification and large error saturation” property, meanwhile, takes the limited input into account. The proposed NISMC improves the transient performance, i.e., less controller chattering and less steady error. The two-tank system is usually treated as a paradigm to test the control algorithms. Five kinds of sliding-mode control methods (SMC) are used to control the two-tank liquid level to test the performance. The simulation and experimental results show that the proposed NISMC has the superior performance as compared to the comparison methods.
This paper presents a real-Time and robust lane detection and forward collision warning technique based on stereo cameras. First, obstacles image is obtained through stereo matching and UV-disparity segmentation algor...
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This paper describes fast test and compensation system for optical encoders. The resolution of system is 0.375", and it can measure the actual accuracy of an optical encoder in four minutes. Furthermore, a method...
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ISBN:
(纸本)9781538629024
This paper describes fast test and compensation system for optical encoders. The resolution of system is 0.375", and it can measure the actual accuracy of an optical encoder in four minutes. Furthermore, a method called Extreme Learning Machine - Fourier Neural Network (ELM-FNN) are proposed to compensate the error. Fourier neural network (FNN) is chosen to fit the curve of the optical encoder's output, and the weights of FNN is calculated by Extreme Learning Machine (ELM). Experimental results demonstrate that ELM-FNN effectively improve the accuracy of the optical encoder. Compared to a back propagation neural network (BP net) and a standard FNN, ELM-FNN has advantages of higher accuracy and less training time.
Trajectory generation is a prerequisite for robot controlsystem and is divided into two regions, Cartesian space and joint space. This paper presents an approach to generate the trajectory in joint-space. This method...
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Trajectory generation is a prerequisite for robot controlsystem and is divided into two regions, Cartesian space and joint space. This paper presents an approach to generate the trajectory in joint-space. This method uses normalization and transformation of the sine function to generate the desired trajectory, which is more smooth and continuous than the parabolic method in multiple time derivatives of the joint parameter. Compared with the third order polynomial method, this approach can depress the unacceptable infinite spikes in the jerk, which is the derivative of acceleration. Besides, the using of normalization in this approach is to make it more convenient and efficient be applied.
The network structure and functional properties of gene regulatory system and their relationships arc an important research field in systems biology. In this paper, a new improved model is proposed based on the study ...
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The network structure and functional properties of gene regulatory system and their relationships arc an important research field in systems biology. In this paper, a new improved model is proposed based on the study of gene expression process. The model takes into account the effect of protein concentration on the gene expression, so as to obtain a new bifurcation point and improve the performance of the system. The validity of the model is verified by theoretical analysis and data simulation.
作者:
Chen JieKai ShixiongSchool of Automation
Beijing Institute of Technology Key Laboratory of Intelligent Control and Decision of Complex SystemsMOE Beijing 100081
This paper investigates the problem of distributed control of multiple redundant mobile manipulators to collectively transport an object tracking a desired trajectory with energy and manipulability optimized. To solve...
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This paper investigates the problem of distributed control of multiple redundant mobile manipulators to collectively transport an object tracking a desired trajectory with energy and manipulability optimized. To solve this optimization problem, formation control tasks are introduced as equality constraints with the variables being the velocities. In this paper, we propose a distributed proximal gradient algorithm searching for the optimal solution, with which the stability of the closed-loop system is proved. Simulations demonstrate the effectiveness of the proposed distributed optimization scheme and proximal algorithm.
Stability of a networked predictive controlsystem subject to network-induced delay and data dropout is investigated in this study. By modeling the closed-loop system as a switched system with an upper-triangular stru...
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Stability of a networked predictive controlsystem subject to network-induced delay and data dropout is investigated in this study. By modeling the closed-loop system as a switched system with an upper-triangular structure, a necessary and sufficient stability criterion is developed. From the criterion, it also can be seen that separation principle holds for networked predictive controlsystems. A numerical example is provided to confirm the validity and effectiveness of the obtained results.
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