In order to study the numerical control (NC) servo press hydraulic control system and its control algorithm. The numerical control servo press performance and control principle of hydraulic control system are analyzed. According to the flow equation of the hydraulic control valve, hydraulic cylinder flow continuity equation and the force balance equation of the hydraulic cylinder with load pres...

The study of human behavior during driving is of primary importance for the improvement of drivers' security. This study is complex because of numerous situations in which the driver may be involved. In this paper, we propose a hierarchical fuzzy system for human in a driver-vehicle-environment system to model takeover by different drivers. The driver’s behavior is affected by the environment. ...

In this work we consider an environment exploration and mapping task for a group of heterogeneous mobile robots. We propose a range of methods tied together in a hierarchical two-level control system. The distinguished features of the proposed system are the use of subdefinite models for robot localization as well as an original mechanism for local interaction. We present both theoretical and e...

Previous studies showed that two swarms of autonomous robots pursuing two conflicting goals can cooperate efficiently, especially at small swarm sizes. In this study we investigate how the spatial separation of the two conflictive aggregation spots affect the cooperation behaviour. The swarms are controlled by the BEECLUST algorithm, which is a robot control algorithm inspired by honeybee behav...

The development of the automotive technology is toward to the intelligent direction, that automatic parking system is one of the aspects. This paper has been working on research of the path planning and control method of the automatic parking system. The vehicle’s kinematic model is established at the condition that the vehicle is in a low speed reversing movement. Through studying the vehicle’...

Accurate models play important roles in capturing the salient characteristics of the network traffic, analyzing and simulating for the network dynamic, and improving the predictive ability for system dynamics. In this study, the ensemble of the flexible neural tree (FNT) and system models expressed by the ordinary differential equations (ODEs) is proposed to further improve the accuracy of time...

This paper discusses the successes and failures over the past three years as efforts at the Idaho National Engineering and Environmental Laboratory (INEEL) have developed and evaluated robot behaviors that promote the emergence of swarm intelligence. Using a team of 12 small robots with the ability to respond to light and sound, the INEEL has investigated the fundamental advantages of swarm beh...

This paper presents a distributed, guidance and control algorithm for reconfiguring swarms composed of hundreds to thousands of agents with limited communication and computation capabilities. This algorithm solves both the optimal assignment and collisionfree trajectory generation for swarms, in an integrated manner, when given the desired shape of the swarm (without pre-assigned terminal posit...

Nature has always been a great source of inspiration for the development of computational approaches for optimization. Two major groups representing this class of biologically inspired algorithms are Swarm Intelligence and Evolutionary Computation. Such algorithms are called metaheuristics and are recognized to be efficient approaches for solving complex problems. Both Swarm Intelligence and Ev...

This paper presents a distributed, guidance and control algorithm for reconfiguring swarms composed of hundreds to thousands of agents with limited communication and computation capabilities. This algorithm solves both the optimal assignment and collision-free trajectory generation for robotic swarms, in an integrated manner, when given the desired shape of the swarm (without pre-assigned termi...