An algorithm for direct kinematics of the 5-6 Stewart platform is presented. We construct a set of fifteen 4 th degree equations in three unknowns and obtain the univariate polynomial of 20 th degree. Due to dual so...
详细信息
ISBN:
(纸本)9781424451920;9781424451937
An algorithm for direct kinematics of the 5-6 Stewart platform is presented. We construct a set of fifteen 4 th degree equations in three unknowns and obtain the univariate polynomial of 20 th degree. Due to dual solutions of other unknowns, this indicates a maximum of 40 possible solutions. A numerical example is given to verify the effectiveness and the accuracy of the proposed algorithm.
This article uses the graphics designer and the code editor of GL Studio combined with VC++6.0 to simulate the instruments which is based on a certain type aeroboat. This paper introduces the GL Studio software, its m...
详细信息
ISBN:
(纸本)9781424451920;9781424451937
This article uses the graphics designer and the code editor of GL Studio combined with VC++6.0 to simulate the instruments which is based on a certain type aeroboat. This paper introduces the GL Studio software, its main function and its application in aeroboat simulation. This simulation result can real-timely shows the parameters (speed, altimeter and electrical quantity) of the aeroboat, and it proved that the simulation result based on GL Studio software is effective and reaches the anticipated design goal.
This paper presents an adaptive tracking algorithm by online features enhancement. To avoid the distraction of the similar background on tracker, Bayes decision rule is applied to calculate the posterior probability o...
详细信息
ISBN:
(纸本)9781424451920;9781424451937
This paper presents an adaptive tracking algorithm by online features enhancement. To avoid the distraction of the similar background on tracker, Bayes decision rule is applied to calculate the posterior probability of every pixel belonging to the object and generate a set of candidate confidence maps according to the conditional sample densities from object and background on different features. We evaluate the performance of every candidate confidence map using moment of inertia. Then, an optimal confidence map is selected to be fed to Meanshift which is employed to find the location of the object. At last, we update the target model by the confidence map. Experimental validation of the proposed method is performed and presented on challenging image sequences.
The paper investigates the problem of robust stability analysis and robust stabilization via memoryless state feedback for uncertain difference switched systems with multiple state delays. Based on the Lyapunov-Krasov...
详细信息
ISBN:
(纸本)9781424451920
The paper investigates the problem of robust stability analysis and robust stabilization via memoryless state feedback for uncertain difference switched systems with multiple state delays. Based on the Lyapunov-Krasovskii functional theory, delay-dependent sufficient Linear Matrix Inequalities (LMIs) conditions are established for the stability and stabilization of the considered system using some free weighting matrices and the Leibniz-Newton formula.
Detailed analysis is given to kinematics of a humanoid robot manipulator. Forward and inverse kinematics of the robot manipulator is performed through Denevit and Hartenberg method. Geometry transformation and square ...
详细信息
ISBN:
(纸本)9781424451920
Detailed analysis is given to kinematics of a humanoid robot manipulator. Forward and inverse kinematics of the robot manipulator is performed through Denevit and Hartenberg method. Geometry transformation and square transformation methods are put forward in order to separate joint variables from kinematic equations and kinematics equations are obtained, whereupon mathematic formulas are provided for humanoid robot manipulator control. Simulation results verify the effectiveness of kinematics equations.
To obtain the prior space information on the study problems and prevent the blind search,a novel strategy on the particle swarm optimization (PSO) is proposed. Based on the neighborhood rough set model, the prior info...
详细信息
ISBN:
(纸本)9781424451920
To obtain the prior space information on the study problems and prevent the blind search,a novel strategy on the particle swarm optimization (PSO) is proposed. Based on the neighborhood rough set model, the prior information is achieved to guide the evolutionary state of the PSO constantly. By reserving the much relevant area of the global best point, the search space was dynamically reduced. Comparison studies with another improved PSO were *** experimental results for most test functions demonstrated good performance of the proposed method in both the optimization speed and computational accuracy. The results are firmly verified the effectiveness of the method to obtain the prior space information and improve the performance of the PSO.
This paper firstly analyzes the principle, data structure and the functions of forward agent and backward agent in AntNet algorithm. Secondly it points out it's insufficiency and brings forward a improved algorith...
详细信息
This paper firstly analyzes the principle, data structure and the functions of forward agent and backward agent in AntNet algorithm. Secondly it points out it's insufficiency and brings forward a improved algorithm based on the AntNet. Then it implements from some aspects, such as the measure guide line, the improvement of initial value in route table, the control of agent number, dying out of backward agent, selection of nexthop, the data structure and algorithm flow. The simulation results show that the new algorithm improve some capabilities in throughput, time delay and stability.
暂无评论