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DTSTART;TZID=America/New_York:20250722T080000
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DTSTAMP:20250707T145720Z
CREATED:20241105T111747Z
LAST-MODIFIED:20250707T145720Z
UID:36328-1753171200-1753444800@controlstation.com
SUMMARY:EMEA & US - Techniques for Applied Process Control (Virtual)
DESCRIPTION:  \nAbout the Event\nThis workshop explains how the PID controller functions. Participants learn a proven\, systematic approach for both tuning loops manually and achieving consistent results. \nThis course is not vendor specific. \n\nRegister Now\n \nWho Should Attend?\nTechnicians\, Engineers\, and others with responsibility for control loop performance. \n  \nWhat’s the Objective?\nLearn simple\, repeatable methods for evaluating and tuning PID controllers. \n  \nHow’s it Delivered?\nKey concepts are followed by demos of real-world examples and hands-on exercises. \nCourse Information\nBelow is the agenda for the Techniques for Applied Process Control virtual training workshop. The workshop will be delivered in daily segments estimated at four (4) hours in duration. Daily breaks of approximately fifteen (15) minute will be provided by the instructor at appropriate stages of the workshop.https://youtu.be/kgWnvPYoJNc \nDay 1 Topics\n\nIntroductions – Goals and Objectives (5m)\nApplication Roundtable Discussion (30m)\nFundamentals of Process Dynamics and Control (30m)\nSelf-Regulating Process Dynamics (35m)\nBREAK (15m)\nWorkshop – Modeling a Flow and Gravity Drained Tank (45m)\nUnderstanding Control Objectives (15m)\nGenerating Good Test Data (30m)\n\nDay 2 Topics\n\nReview of Dynamics (10m)\nP-Only Control (20m)\nP-Only Workshop (45m)\nPI Control (20m)\nBREAK (15m)\nTrial and Error Tuning Workshop (20m)\nPI Control Correlations (15m)\nPI Tuning Workshop (45m)\nQ&A (15m)\n\nDay 3 Topics\n\nReview of PI Control and LOOP-PRO TUNER (10m)\nPID Control (25m)\nPID Workshop (45m)\nPID With Filter / Signal Filters (20m)\nBREAK (15m)\nController Robustness and Adaptive Control (30m)\nTuning a Nonlinear Process Workshop (45m)\nBREAK (15m)\nNon-Self Regulating Control (25m)\nTuning a Non-Self Regulating Process Workshop (30m)\nQ&A (15m)\n\nDay 4 Topics\n\nReview Non-Self Regulating Processes (10m)\nController Analytics (30m)\nBREAK (10m)\nCascade Control (30m)\nCascade Control Workshop (45m)\nBREAK (10m)\nAdvanced Models for Simulation and Control (15m)\nFeed Forward Control (30m)\nFeed Forward Workshop (45m)\nQ&A (15m)\n\nRegister Now!\n\n\n\n\n\nName*\nFirst\n\nLast\n\nCompany*\nEmail*\n\nPhone*\nAddress*\nStreet Address\n\nCity\n\nState / Province / Region\n\nZIP / Postal Code\n\nCountry\nAfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCabo VerdeCambodiaCameroonCanadaCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo\, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d’IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea\, Democratic People’s Republic ofKorea\, Republic ofKuwaitKyrgyzstanLao People’s Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine\, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena\, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania\, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands\, BritishVirgin Islands\, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands\nPayment Method*\n\n\nPurchase Order\n\nCredit Card\n\nPlease Contact Me\n\n\nPurchase Order Number\nCAPTCHA\n\n\nPhoneThis field is for validation purposes and should be left unchanged.\n\n\n\n\n\n\n\n\n \nΔ
URL:https://controlstation.com/event/techniques-for-applied-process-control-virtual-63/
LOCATION:Interactive Online Learning
CATEGORIES:Training
ATTACH;FMTTYPE=image/webp:https://controlstation.com/wp-content/uploads/2024/11/Global.webp
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DTSTART;TZID=America/New_York:20250722T100000
DTEND;TZID=America/New_York:20250722T110000
DTSTAMP:20250425T205416Z
CREATED:20250205T162445Z
LAST-MODIFIED:20250425T205416Z
UID:36460-1753178400-1753182000@controlstation.com
SUMMARY:Unlock PID Performance Insights with State-Based Analytics
DESCRIPTION:Plant operations constantly shift between different states\, including startup and shutdown\, product transitions\, testing\, and varying operating strategies. Traditional analytics struggle to capture the complexity of these transitions\, leading to missed inefficiencies and suboptimal performance. This webinar will show you how state-based analytics can provide the necessary context to detect control challenges\, optimize tuning\, and stabilize performance across multiple states. \nDesigned for process engineers\, control engineers\, and operations management\, this session provides real-world examples of state-based analytics in action. Learn how to assess system performance on a per-state basis\, uncover problem areas that traditional monitoring overlooks\, and apply targeted adjustments to improve control outcomes. See how PlantESP can deliver actionable insights that reduce variability\, minimize operational disruptions\, and enhance overall plant performance. \nRegister now to unlock the full potential of state-based analytics and gain a deeper understanding of your plant’s multi-state behavior.
URL:https://attendee.gotowebinar.com/register/5180635352391839583#new_tab
LOCATION:Interactive Online Learning
CATEGORIES:Public Webinar
ATTACH;FMTTYPE=image/webp:https://controlstation.com/wp-content/uploads/2023/06/2Engineers.webp
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