Search results for "Control system"

showing 10 items of 971 documents

A Hybrid Machine Learning and Knowledge Based Approach to Limit Combinatorial Explosion in Biodegradation Prediction

2016

One of the main tasks in chemical industry regarding the sustainability of a product is the prediction of its environmental fate, i.e., its degradation products and pathways. Current methods for the prediction of biodegradation products and pathways of organic environmental pollutants either do not take into account domain knowledge or do not provide probability estimates. In this chapter, we propose a hybrid knowledge-based and machine learning-based approach to overcome these limitations in the context of the University of Minnesota Pathway Prediction System (UM-PPS). The proposed solution performs relative reasoning in a machine learning framework, and obtains one probability estimate fo…

Engineeringbusiness.industryContext (language use)Machine learningcomputer.software_genreRandom forestSet (abstract data type)Transformation (function)Domain knowledgeSensitivity (control systems)Artificial intelligencePrecision and recallbusinesscomputerCombinatorial explosion
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Lightguide Technology For Adverse Industrial Environments

1987

The lightguide technology has several unique fetures that open up new possibilities of its applications in alverse environments. These factors make this technology attractive in comparizon with classical metal cable based and radio technologies. In the paper we will review relevant works carried out in this country, namely: techno-logical specialization processess for industrial application oriented optical fibres and cables, classification of adverse environments and design rules for cables and optoelectronics, description of our technological facility, fiber optic health protection systems in adverse environments, example of real life applications of ruggedized fibre optic systems in HV/H…

Engineeringbusiness.industryControl systemElectrical engineeringSystems engineeringEnvironmental sensingIndustrial roboticsRoboticsArtificial intelligenceHealth protectionbusinessSPIE Proceedings
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On the Impact of Plant Model and Controller Sophistication on Performance of Disturbance Attenuation and System Robustness

2006

In the paper the problem of disturbance attenuation performance in single-loop control system is investigated. Modified MV control strategy with bounded control variance is used as benchmark for both LQG and classically and optimally tuned PID-type controllers. Certain time and frequency domain functions are then examined to further assess the control performance in terms of robustness. It has been shown that as long as the system to be controlled is delay-free, and there is no extreme demand on performance, simple lag-delay system model along with optimally tuned PID control algorithm provides control quality similar to that of LQG controlled original system assuming the same bound on cont…

Engineeringbusiness.industryControl theoryRobustness (computer science)Control systemFrequency domainPID controllerControl engineeringOptimal projection equationsLinear-quadratic regulatorRobust controlbusinessLinear-quadratic-Gaussian controlProceedings of the 45th IEEE Conference on Decision and Control
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Application of distributed expert systems to the advanced control of smart houses

2003

Abstract A distributed expert system has been proposed for the smart house control. Its configuration is mainly based on the use of distributed nodes connected by means of a CAN network. This kind of systems allow the implementation of highly flexible control systems capable of adapting themselves to different situations. The expert system used is based on Rule Nets (RN), which are a formalism that seeks to express an automatism in a similar way to as would make it a human being: "IF antecedents THEN consequents". But at the same time Rule nets are a tool for the design, analysis and implementation of rule based systems (RBS), and consist on a mathematic-logical structure which analytically…

Engineeringbusiness.industryDistributed computingBounded response timeRule-based systemControl engineeringLegal expert systemSmart housecomputer.software_genreExpert systemCAN busHome automationControl systembusinesscomputerIFAC Proceedings Volumes
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A fuel cell-battery hybrid power supply for portable applications

2010

Today, academic and industrial research is addressed to fuel cell based hybrid power supply in many fields of applications including stationary, automotive and portable electronics. Increasing source runtime, speeding up the transient response while minimizing weight, volume and cost of the power supply system are key requirements of all applications. According to the particular application, the power management system is optimized for a specific feature. In this paper, a fuel cell–battery hybrid power supply for a Digital Camera is proposed, although the control algorithm can be efficiently applied to any portable device. Thanks to an innovative control on the input power, any fuel cell pr…

Engineeringbusiness.industryElectrical engineeringAutomotive industryAutomotive electronicsSettore ING-INF/01 - ElettronicaPower electronicsControl systemfuel cell hybrid power supplyTransient responseHybrid powerSwitched-mode power supply applicationsbusinessPower management system
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Advanced Control Structure for Energy Management in Ground Coupled Heat Pump HVAC System

2008

Abstract Over the last 15 years, computerized controls have become more and more common in our homes. The smart home looks at expanding the use of the computers into the difference parts of the home, creating a network that can be easily and conveniently controlled. The use of computer controls removes the need to actually flick a switch and allows elements of the home to respond automatically to the people living in it. Successful control and heating ventilating and air-conditioning (HVAC) systems is a primary concern in building project: in order to achieve the required comfort and energy efficiency goals, a lot of variables must be coordinated and kept at particular pre-designed operatio…

Engineeringbusiness.industryEnergy managementControl engineeringGeneral MedicineTRNSYSlaw.inventionlawHome automationGeothermal heat pumpHVACbusinessHeat pumpEfficient energy useManagement control systemIFAC Proceedings Volumes
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A robust fault detection design for uncertain Takagi-Sugeno models with unknown inputs and time-varying delays

2013

Abstract This paper investigates the problem of robust fault detection system design for a class of uncertain Takagi–Sugeno (T–S) models. The system under consideration is subject to unknown input and time-varying delay. The fault detection system is designed such that the unknown input is thoroughly decoupled from residual signals generated by the fault detection system. Furthermore, the residual signals show the maximum possible sensitivity to the faults and the minimum possible sensitivity to the external disturbances. The model matching approach is utilized to tackle the effects of parametric uncertainties in the model of the system. The design procedure is presented in terms of Linear …

Engineeringbusiness.industryLinear Matrix InequalitiesComputer Science Applications1707 Computer Vision and Pattern RecognitionLinear matrixT-S modelResidualFault detection and isolationComputer Science ApplicationsTakagi sugenoControl theoryControl and Systems EngineeringSystems designSensitivity (control systems)Time-delayModel matchingbusinessFault detectionFault detection; Linear Matrix Inequalities; T-S model; Time-delay; Unknown input; Control and Systems Engineering; Analysis; Computer Science Applications1707 Computer Vision and Pattern RecognitionUnknown inputAnalysisParametric statistics
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Application of a decision making method to improve an industrial hot extrusion forging process

1999

Abstract Success of a bulk forming process is significantly affected by several operative parameters, such as dies and workpiece temperature, friction factor, preformed dimensions and its initial positioning. In the paper the hot extrusion forging of an half shaft of a two stroke motorcycle engine has been investigated. The combined effect of the most influent operative parameters has been determined by means of a consistent factorial plan. A sensitivity analysis was performed using an advanced numerical finite element code as a powerful CAE tool able to assist the analyst in the design of the process. The geometry of the part has allowed a combined 2D-3D numerical analysis; in fact, the in…

Engineeringbusiness.industryMechanical EngineeringComputationNumerical analysisProcess (computing)Mechanical engineeringIndustrial and Manufacturing EngineeringForgingFinite element methodlaw.inventionlawExtrusionSensitivity (control systems)businessTwo-stroke engine
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Computer active control of damping fluid of a racing superbike suspension scheme for road safety improvement spin-off

2008

This paper describes in detail a computational investigation of a newly-conceived scheme of hydraulic active racing motorcycle suspension and its design application based on a computer-aided control of damping fluid. Through ad hoc tests on a full-scale model setup and the theoretical approach of a non linear 8th-order suspension scheme, this study gives enhancement of the damping fluid active control on the feedback branch of the entire control system for significant improvement of the suspension response to typical road inputs. Briefly, the fluid flow in suspension dampers - generated through well-suited high-pressure hydraulic circuit - shall be conveniently controlled in direction and m…

Engineeringbusiness.industryMechanical EngineeringLinear regulatorVibration controlPoison controlDamperVibrationControl theoryControl systemAutomotive EngineeringFluid dynamicsSettore ING-IND/06 - FluidodinamicaActive suspensions Digital ControlSuspension (vehicle)business
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Fully digital FPGA-based Front-End Electronics for the GALILEO array

2014

In this work we present the fully digital Front End Electronics (FEE) read out system developed for the GALILEO array. The system, developed in collaboration with the Advanced Gamma Tracking Array (AGATA) collaboration, is composed of three main blocks: preamplifiers, digitizers and preprocessing electronics. The slow control system contains a custom Linux driver, a dynamic library and a server implementing network services. The digital processing of the data from the GALILEO germanium detectors has demonstrated the capability to achieve an energy resolution of 1.53‰ at an energy of 1.33 MeV.

Engineeringbusiness.industryPreamplifierControl systemServerDetectorElectrical engineeringAGATAElectronicsGalileo (vibration training)businessField-programmable gate array2014 19th IEEE-NPSS Real Time Conference
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