Search results for " Control"

showing 10 items of 7691 documents

Finite-Time Control for Attitude Tracking Maneuver of Rigid Satellite

2014

Published version of an article in the journal: Abstract and Applied Analysis. Also available from the publisher at: http://dx.doi.org/10.1155/2014/302982 Open Access The problem of finite-time control for attitude tracking maneuver of a rigid spacecraft is investigated. External disturbance, unknown inertia parameters are addressed. As stepping stone, a sliding mode controller is designed. It requires the upper bound of the lumped uncertainty including disturbance and inertia matrix. However, this upper bound may not be easily obtained. Therefore, an adaptive sliding mode control law is then proposed to release that drawback. Adaptive technique is applied to estimate that bound. It is prov…

Article Subjectbusiness.industrymedia_common.quotation_subjectApplied Mathematicslcsh:MathematicsTracking systemAngular velocityAnalysis; Applied MathematicsInertiaTracking (particle physics)lcsh:QA1-939Sliding mode controlUpper and lower boundsVDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411Sylvester's law of inertiaControl theorybusinessAnalysisMathematicsmedia_commonAbstract and Applied Analysis
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A very brief history of soft computing: Fuzzy Sets, artificial Neural Networks and Evolutionary Computation

2013

This paper gives a brief presentation of history of Soft Computing considered as a mix of three scientific disciplines that arose in the mid of the 20th century: Fuzzy Sets and Systems, Neural Networks, and Evolutionary Computation. The paper shows the genesis and the historical development of the three disciplines and also their meeting in a coalition in the 1990s.

Artificial developmentSoft computingTheoretical computer scienceNeuro-fuzzySettore INF/01 - InformaticaComputer scienceNatural computingbusiness.industryComputational intelligenceFuzzy Sets Theory FuzzinessEvolutionary acquisition of neural topologiesHuman-based evolutionary computationComputingMethodologies_GENERALArtificial intelligencebusinessIntelligent control
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Artificial intelligence to counteract “KPI overload” in business process monitoring: the case of anti-corruption in public organizations

2023

PurposeThe nature and amount of data that public organizations have to monitor to counteract corruption lead to a phenomenon called “KPI overload”, consisting of the business analyst feeling overwhelmed by the amount of information and resulting in the absence of appropriate control. The purpose of this study is to develop a solution based on Artificial Intelligence technology to avoid data overloading and, at the same time, under-controlling in business process monitoring.Design/methodology/approachThe authors adopted a design science research approach. The authors started by observing a specific problem in a real context (a healthcare organization); then conceptualized, designed and imple…

Artificial intelligenceProcurementPublic organizationPolicy applicationManagement controlSettore ING-IND/35 - Ingegneria Economico-GestionaleBusiness intelligenceCorruptionBig dataInternal controlFraud preventionKPI overloadBusiness Management and Accounting (miscellaneous)Business and International ManagementBusiness Process Management Journal
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Control systems for indoor lighting and computer simulation: analysis and comparison between software packages capabilities and results on a real cas…

2018

In the last years, computer capabilities have evolved rapidly and also the way to simulate building physics phenomena is changed and more developed. Each simulation software is developed with a less or more similar aim, using different algorithms and models and being used by people with different profile: specialist, architects, engineers, installers, etc. This paper deals with the analysis of capability of some of the most utilised software used to predict indoor lighting, including natural daylight contribution and assessment of energy consumption and savings related to specific design options. Furthermore, two of the analysed software have been tested simulating a case studying. Results …

Artificial lighting software simulation energy savings lighting design lighting control systems software reliability
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Safer Reinforcement Learning for Agents in Industrial Grid-Warehousing

2020

In mission-critical, real-world environments, there is typically a low threshold for failure, which makes interaction with learning algorithms particularly challenging. Here, current state-of-the-art reinforcement learning algorithms struggle to learn optimal control policies safely. Loss of control follows, which could result in equipment breakages and even personal injuries.

Artificial neural networkComputer scienceSAFERControl (management)0202 electrical engineering electronic engineering information engineeringReinforcement learning020206 networking & telecommunications02 engineering and technologyMarkov decision processGridOptimal controlIndustrial engineering
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The shaping of public economic discourse in postwar America: the 1947 meat shortage and Franco Modigliani's meat plan

2015

This paper discusses the American debate over price controls and economic stabilization after World War II, when the transition from a war economy to a peace economy was characterized by bottlenecks in the productive system and shortages of food and other basic consumer goods, directly affecting the living standard of the population, the public opinion, and political discourse. Specifically, we will focus on the economist Franco Modigliani and his proposal for a "Plan to meet the problem of rising meat and other food prices without bureaucratic controls." The plan prepared by Modigliani in October 1947 was based on a system of taxes and subsidies to foster a proper distribution of disposabl…

Arts and Humanities (all)price control2001Price controlspostwar economic policyHistory and Philosophy of ScienceSettore SECS-P/04 - Storia Del Pensiero EconomicoFranco modigliani; Postwar economic policy; Postwar reconstruction; Price controls; 2001; Arts and Humanities (all); History and Philosophy of Sciencemeat planrationingpostwar reconstructionFranco Modigliani
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ROOT-KNOT NEMATODES FROM ASPARAGUS AND ASSOCIATED BIOLOGICAL ANTAGONISTS IN PERU

2012

A research study on the parasitic nematodes of asparagus and several associated antagonists was carried out in Northern Peru. Nematodes were identified by means of light microscopy and sequencing of the ITS1-2 regions. Nematophagous fungi were isolated from nematode-infested roots or soil, cultured in vitro and maintained in a culture collection for further characterization. The species recovered were mainly root-knot nematodes including Meloidogyne incognita and M. ethiopica. Nematophagous fungi identified through standard morphological methods as well as by ITS sequencing included Drechslerella brochopaga, Lecanicillium psalliotae and Monacrosporium sp. Meloidogyne ethiopica and the antag…

Asparagus biological control Meloidogyne nematophagous fungi
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Korelācijas starp astmas kontroles testu un astmas kontroles aptauju

2018

Virsraksts: Korelācija starp astmas kontroles testu un astmas kontroles aptauju Ievads: Svarīgi atzīmēt, ka astmas kontroles aptauja (ACQ) un astmas kontroles tests (ACT) ir pārtulkotas dažādās valodās, ko izmanto klīniskajos praksē un pētījumos pasaulē. Aptauju priekšrocība ir tāda, ka tās ir ārkārtīgi noderīgas astmas kontroles novērtēšanai un tiek lietotas daudzās pasaules valstīs. Attiecībā uz rezultātu interpretāciju un pārvaldību ACT un ACQ ir vispiemērotākās anketas. Mērķis: Šī darba mērķis bija noskaidrot korelāciju starp astmas kontroles testu un astmas kontroles aptauju un Globālās Astmas Iniciatīvas (GINA) astmas kontroles vērtējumu. Materiāli un metodes: Pētījuma populācijā ieti…

Asthma control questionnaireAsthma controlAsthma control testAsthmaMedicīna
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Distributed Consensus in Networks of Dynamic Agents

2006

Stationary and distributed consensus protocols for a network of n dynamic agents under local information is considered. Consensus must be reached on a group decision value returned by a function of the agents' initial state values. As a main contribution we show that the agents can reach consensus if the value of such a function computed over the agents' state trajectories is time invariant. We use this basic result to introduce a protocol design rule allowing consensus on a quite general set of values. Such a set includes, e.g., any generalized mean of order p of the agents' initial states. We demonstrate that the asymptotical consensus is reached via a Lyapunov approach. Finally we perfor…

Asymptotic stability; Distributed consensus protocolsEngineeringMathematical optimizationAsymptotic stabilitybusiness.industryFunction (mathematics)Network topologyUniform consensusComputer Science::Multiagent SystemsLTI system theorySet (abstract data type)Distributed consensus protocolsConsensusExponential stabilityComputer Science::Systems and ControlControl theoryexperimental mechanics Fourier transform load stepping photoelasticityGeneralized meanbusinessProceedings of the 44th IEEE Conference on Decision and Control
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Asynchronous L1 control of delayed switched positive systems with mode-dependent average dwell time

2014

Abstract This paper investigates the stability and asynchronous L 1 control problems for a class of switched positive linear systems (SPLSs) with time-varying delays by using the mode-dependent average dwell time (MDADT) approach. By allowing the co-positive type Lyapunov–Krasovskii functional to increase during the running time of active subsystems, a new stability criterion for the underlying system with MDADT is first derived. Then, the obtained results are extended to study the issue of asynchronous L 1 control, where “asynchronous” means that the switching of the controllers has a lag with respect to that of system modes. Sufficient conditions are provided to guarantee that the resulti…

Asynchronous switchingInformation Systems and ManagementAsynchronous switching; Average dwell time; Positive system; Switched system; Time-varying delay; Artificial Intelligence; Software; Control and Systems Engineering; Theoretical Computer Science; Computer Science Applications1707 Computer Vision and Pattern Recognition; Information Systems and ManagementStability criterionComputer scienceLinear systemPositive systemComputer Science Applications1707 Computer Vision and Pattern RecognitionPositive systemsTime-varying delayStability (probability)Computer Science ApplicationsTheoretical Computer ScienceDwell timeExponential stabilityArtificial IntelligenceControl and Systems EngineeringControl theoryAsynchronous communicationAverage dwell timeSwitched systemSoftwareInformation Sciences
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