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—A supervisory controller is derived for scheduling (single/multiple-part-type, reentrant) production networks. The supervisory controller is used to tune a set of lower level distributed fuzzy control modules that reduce work-in-process (WIP) and synchronize the production system's operation. The overall production-control system is viewed as a two-level(More)
An evolutionary algorithm based framework, a combination of modified breeder genetic algorithms incorporating characteristics of classic genetic algorithms, is utilized to design an offline/online path planner for unmanned aerial vehicles (UAVs) autonomous navigation. The path planner calculates a curved path line with desired characteristics in a(More)
This paper presents a framework for multiuser distributed virtual environments (VEs) and explores its application to teleoperation of a mobile robot over the Internet. The proposed framework, incorporating the functional and the interconnection models, attempts to represent common functionality, communication issues, and requirements found in distributed(More)
Keywords: Neural network Neuro-fuzzy Soft computing forecasting Stock market forecasting a b s t r a c t The key to successful stock market forecasting is achieving best results with minimum required input data. Given stock market model uncertainty, soft computing techniques are viable candidates to capture stock market nonlinear relations returning(More)
Agility metrics are difficult to define in general, mainly due to the multidimensionality and vagueness of the concept of agility itself. In this paper, a knowledge-based framework is proposed and presented as a candidate solution for the measurement and assessment of manufacturing agility. Given an enterprise, in order to calculate its overall agility, a(More)
Complete algorithms for feeding polyhedral parts using pivot grasp, " IEEE Trans. " On the development of a compliant grasping mechanism for on-line handling of live objects, part II: Design and experimental investigation, " in Abstract—An electrostatic potential field (EPF) path planner is combined with a two-layered fuzzy logic inference engine and(More)
A real-time hierarchical sensor-based robotic system architecture, " Abstract—This paper proposes a solution to the two-dimensional (2-D) collision free path planning problem for an autonomous mobile robot utilizing an electrostatic potential field (EPF) developed through a resistor network , derived to represent the environment. No assumptions are made on(More)
runs on the Nserver, the Nomad simulator. These test runs, where the robot tracks a circle from different initial positions and configurations, clearly indicate that our proposed second control algorithm works globally in a stable and robust way. It should be emphasized that if we were to use the first, local algorithm on these test runs, it would fail(More)
utonomous Underwater Vehicles (AUVs) share common A control problems with other air, land, and water unmanned vehicles. In addition to requiring high-dimensional and compu-tationally intensive sensory data for real-time mission execution, power and communication limitations in an underwater environment make it more difficult to develop a control(More)