19 research outputs found

    Improvement of the Material\u27s Mechanical Characteristics using Intelligent Real Time Control Interfaces in HFC Hardening Process

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    The paper presents Intelligent Control (IC) Interfaces for real time control of mechatronic systems applied to Hardening Process Control (HPC) in order to improvement of the material\u27s mechanical characteristics. Implementation of IC laws in the intelligent real time control interfaces depends on the particular circumstances of the models characteristics used and the exact definition of optimization problem. The results led to the development of the IC interfaces in real time through Particle Swarm Optimization (PSO) and neural networks (NN) using offline the regression methods

    Improvement of the Material's Mechanical Characteristics using Intelligent Real Time Control Interfaces in HFC Hardening Process

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    The paper presents Intelligent Control (IC) Interfaces for real time control of mechatronic systems applied to Hardening Process Control (HPC) in order to improvement of the material's mechanical characteristics. Implementation of IC laws in the intelligent real time control interfaces depends on the particular circumstances of the models characteristics used and the exact definition of optimization problem. The results led to the development of the IC interfaces in real time through Particle Swarm Optimization (PSO) and neural networks (NN) using offline the regression methods

    News on modeling of walking robot critical positions

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    The principal objective of our study is to emphasize the strategies for the walking robot mathematical model to traverse an uneven terrain, respecting the hypothesis of environment model defined by us. The multiple aspects on axiomatic systems, with possible application to environment’s mathematical model axiomatization, open an interesting new way of research and is exposed in the first part of the paper. Our study on the walking robot begins with formulation of improved mathematical model for physical identification derived from geometrical identification of critical position in particular case of waking robot leg. The physical identification of the critical position is analyzed in the paper on our concrete case of walking robot leg mathematical model. The specialized algorithm performed by us is used for verification of the theory. The new directions of research, opened by our analyses in this area, are described

    Improving anthropomorphic robot stability using advanced intelligent control interfaces

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    The article focused on the advanced intelligent control of the stability of anthropomorphic walking robots (AWRs), in order to validate a new and useful method of moving in the virtual environment, which determines a substantial increase in their stability. The obtained results lead to Versatile Intelligent Portable Robot Platform VIPRO, developed to improve the walking anthropomorphic robots’ performances, provide unlimited power for design, test, experiment the real time control methods by integrating the Intelligent Control Interfaces (ICIs) in robot modeling and simulation for all types of humanoid robots, rescue robots, firefighting robots

    Adaptive neural network fuzzy inference system for HFC processes

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    The paper presents the design and implementation of a fuzzy inference system (FIS) trained with adaptive neural networks for the generation of specification references in high frequency current (HFC) hardening processes. The specification references are then further used for the control of the process in obtaining the desired outcomes in terms of material hardening and resistance. The FIS is trained using data obtained from experimentation on an industrial HFC device. The trained FIS is then compared to a manually tuned FIS, resulting from expert and operator designs. The results led to the development of intelligent control interfaces in real time through the ANFIS method

    Addition of elotuzumab to lenalidomide and dexamethasone for patients with newly diagnosed, transplantation ineligible multiple myeloma (ELOQUENT-1): an open-label, multicentre, randomised, phase 3 trial

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    Intelligent Control Interfaces Using Extenics Multidimensional Theory Applied on VIPRO Platforms for Developing the IT INDUSTRY 4.0 Concept

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    The paper presents new concepts and approaches to achieving intelligent control interfaces for solving contradictory problems using Extenics multidimensional theory applied on VIPRO Versatile Intelligent Portable Platforms. VIPRO platform enables developing the IT Industry 4.0 concept through the design, testing and experimentation of new intelligent control interfaces on a classical mechatronic control system without the need to modify its hardware structure, and, from optimal decisions and information fusion between the intelligent control interfaces, resulting in a high degree of versatility and portability to a global communications network. The Cyber-Physical Systems as like a VIPRO Platform’s component, developed through advanced intelligent control interfaces integrate the dynamics of the physical processes with those of the software and networking, providing a powerful environment for modeling, design, and analysis techniques for an integrated whole IT Industry. The portability characteristics results allow test and improve the motion performance of the mechatronic system, and furthermore implement the intelligent control and decision interfaces on their own control system, applying Industry 4.0 components: cognitive computing including intelligence and signal processing, cyber-physical systems, internet of things and cloud computing, exemplified on an Extenics multidimensional control intelligent interfaces

    The optimization of intelligent control interfaces using Versatile Intelligent Portable Robot Platform

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    AbstractThe paper presents a VIPRO versatile, intelligent and mobile platform for robots, using an original virtual projection method which involves the representation of modern mobile robots in a 3D virtual environment using a strong robotic simulator, an open architecture system and adaptive networks over the classical control system of the robot, developing intelligent control interfaces The advanced control technologies adapted to the robot environment such as neutrosophic control, robot Extenics control and robot haptic control are used. The obtained results lead to the conclusion that the VIPRO platform is to be integrated on the IT market as a new component alongside the existing ones, allowing a correct evaluation of robot behaviours in hazardous or challenging environments and high level real-time simulation in order to correctly model interactions among the robots and between the robots and the environment

    CSP and "omics" Technology Applied on Versatile and Intelligent Portable Platform for Modeling Complex Bio-medical Data

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    This paper presents relevant aspects of the idea of using the digital medicine in cancer, so that to shape a viable strategy for creating and implementing an interactive digital platform, NEO-VIP, that should be the basic support to design the strategy for integration of basic, clinical and environmental research on neoplasia progression to cancer. The two main components of the VIPRO Platform are represented by the workstation “Engineering Station” for CPS (Cyber Physical System) and “omics” technology and by the “Graphical Station” for the development of a virtual mechatronic system environment and virtual reality for system components' motion
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