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model-based tracking for Agent-based Control Systems in the Case of Sensor Failures

International Journal of Automation and computing 2012年第6期9卷 561-569页

作者： R.P.Yadav P.V.Varde P.S.V.Nataraj P.Fatnani C.P.Navathe Accelerator Control Section Accelerator Control and Beam Diagnostics DivisionRaja Ramanna Centre for Advanced Technology Life Cycle Reliability Engineering Lab Safety Evaluation and Manpower Training and Development SectionBhabha Atomic Research Centre Inter Disciplinary Program in Systems and Control Engineering Group Indian Institute of Technology Bombay

The study on artificial intelligence(AI) methods for tuning of particle accelerators has been reported in many *** paper presents tuning method for agent-based control systems of transport lines in the case of sensor/actuator *** method uses model-based tracking concept to relax the demand on sensor *** condition for successful operation of the stated scheme is derived,and the concept is demonstrated through simulation by applying it to the model of microtron,transport line-1 and booster of indus *** results show that this approach is very effective in transport line control during sensor/actuator failures.

关键词： Agent agent-based control model-based tracking transport line control artificial intelligence(AI).

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SEMI-AUTOMATIC INTERACTIVE modelING FOR model-based CAMERA tracking

SEMI-AUTOMATIC INTERACTIVE MODELING FOR MODEL-BASED CAMERA T...

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2012 3rd IEEE International Conference on Network Infrastructure and Digital Content

作者： Eun Joo Rhee Kangsoo Kim Byung-Kuk Seo Jong-Il Park Department of Electronics and Computer Engineering Hanyang UniversitySeoulKorea

Object modeling is an important task as a pre-processing of model-based camera *** this paper,we present a semi-automatic interactive modeling method to create 3D object models with simple primitives such as points and *** approach is based on feature-based modeling that uses 3D point clouds of target *** of using graphic modeling tools,the modeling is intuitively performed by user participation in video ***,we analyze sensitivity of camera tracking according to modeling errors using Cramer-Rao Lower Bound.

关键词： Camera tracking model-based tracking Object modeling Error analysis

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