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A method of self-adaptive control for nonlinear systems based on least squares support vector machines (LS-SVM) dynamic inversion is presented. The method cascades the dynamic inversion model approximated by LS-SVM with the original system to get the composite pseudo-linear system. The on-line learning while controlling LS-SVM is used to self-adaptively compensate the inversion error of nonlinear systems which may be due to modeling uncertainties and disturbances. The updating rule of LS-SVM weights is derived from Lyapunov stability theory, and the stability of the designed system is proved. Simulation results demonstrate the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]

A minimum dose method based on staff walking road network model was proposed for the walking-path planning in nuclear facilities. A virtual–reality simulation program was developed using C# programming language and Direct X engine. The simulation program was used in simulations dealing with virtual nuclear facilities. Simulation results indicated that the walking-path planning method was effective in providing safety for people walking in nuclear facilities. [ABSTRACT FROM AUTHOR]

Abstract: During the design, maintenance and decommissioning of nuclear facilities, nuclear radiation protection is an important part. In recent years, researchers have explored a lot of radiation protection approach, and some radiation protection approach have been applied in practice, such as visualization technique of radiation environment, path-planning method, robotics and etc., in these techniques the path-planning in radiation environment technology has become an important radiation protection measure. In this paper, we addressed a staff walking path-planning approach in radiation environment based on particle swarm algorithm and introduced some key technologies of path-planning in radiation environment. To obtain the optimal walking route to verify the operation of the proposed method, we carried out the simulation experiment in which dose and distance were as decision factors. The experiment results represented the probability and the effectiveness of path-planning in radiation environment based on particle swarm algorithm. [Copyright &y& Elsevier]

Workers’ behavior during the dynamic process of nuclear decommissioning is a complex phenomenon. In a nuclear environment, some workers may spontaneously and inadvertently engage in unsafe behavior which has high risks of serious injury and accident. In this paper, we determined and classified some of the unsafe behavior of workers in the nuclear decommissioning process. The evaluation factor system and the AHP model were established. The safety of behavior of virtual human, a trainee controlled in digital simulation, was quantified by fuzzy evaluation method. A primary virtual training method to reduce the chance of unsafe behavior was proposed and a safety training simulation software was developed. The feasibility of the proposed methods was tested through a hypothetical case. [ABSTRACT FROM AUTHOR]

Based on minimum dose path-searching method, walking path-planning method for multiple radiation areas was designed to solve minimum dose path problem in single area and find minimum dose path in the whole space in this paper. Path-planning simulation platform was built using C# programming language and DirectX engine. The simulation platform was used in simulations dealing with virtual nuclear facilities. Simulation results indicated that the walking-path planning method is effective in providing safety for people walking in nuclear facilities. [ABSTRACT FROM AUTHOR]

Walking path-planning technology can be taken as a radiation protection measure to reduce radiation exposure to workers in radiation environment, and to guarantee work order and efficiency. Considering the nuclear facilities scene can be dynamic and changeable, we designed a dynamic minimum dose walking path-searching method based on the static minimum dose walking path-planning method earlier, and built path-planning simulation platform for nuclear radiation environment with virtual reality technology to plan walking path and virtual simulation. [ABSTRACT FROM AUTHOR]