The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
GNSS(Global Navigation Satellite System) positioning technology is widely used in military and civil area, especially beneficial in surveying field. Recently, the high precision coordinate point can be obtained from GNSS, and replaced the lot of traditional work by total station. Among the new developed technology, Network Real Time Kinematic (RTK) is became the most popular technique in surveying...
This paper presents a new algorithm of parameter and state estimation based on the Modified Cooperative Particle Swarm Optimization (MCPSO). Through modern control theory, the convergence and parameters setting rule of the algorithm is analyzed and a good optimization performance is shown from the given test functions. By minimizing the estimation states error covariance matrix for canonical state...
An integrated guidance and control model for missile control system design is established in this paper. Finite-time stability theory is used to design a finite-time convergent guidance and control law based on the proposed model. Some simulation tests are done to verify the validity of the control law designed in this paper and the advantages compared with other guidance laws. The results show the...
Motivated by the multi-splitting methods, we present two nonlinear multi-splitting algorithms for solving the quadratic matrix equation (QME). Under suitable conditions we then respectively prove the local linear and quadratic convergence of the two algorithms. Some numerical results are given to show the feasibility and effectiveness of our algorithms.
Genetic algorithm (GA) is widely applied to optimal path planning of mobile robots. In this work, an adaptive genetic algorithm (AGA) is proposed, which is expected to solve some difficulties that conventional GA inevitably faces, including local optimum in the early stage, too lower convergence speed, and large complicated computation process. Sine-AGA denotes that the cross probability and mutation...
In this paper, motivated by multi-splitting methods, a nonlinear method for solving the quadratic matrix equation (QME) is constructed. Meanwhile, nonlinear multi-splitting algorithm and nonlinear multi-splitting Newton algorithm are presented to find the solution to QME. Then under suitable conditions, the local linear and quadratic convergence of the algorithms are proved respectively. In the end,...
An improved NSGA-II algorithm is applied to the optimization of inverse planning in intensity modulated radiation treatment (IMRT). The test example of irregular field under the condition of water phantom is used to test the inverse planning process of IMRT. The objective functions of PTV (planning target volume) and NT (normal tissue) are based on the average dose distribution. The result of inverse...
Particle swarm optimization (PSO) has shown its good performance on numerical function problems. However, on some multimodal functions the PSO easily suffers from premature convergence because of the rapid decline in velocity. In this paper, a hybrid PSO algorithm, called HPSO, is proposed, which employs a modified velocity model to guarantee a non-zero velocity. In addition, a Cauchy mutation operator...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.