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Modelling, Monitoring, Control and Optimization for Complex Industrial Processes

Modelling, Monitoring, Control and Optimization for Complex Industrial Processes

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This reprint includes 22 research papers and an editorial, collected from the Special Issue "Modelling, Monitoring, Control and Optimization for Complex Industrial Processes", highlighting recent research advances and emerging research directions in complex industrial processes. This reprint aims to promote the research field and benefit the readers from both academic communities and industrial sectors.

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Keywords

  • advanced optimization methodologies
  • anti-corrosion pill particle
  • artificial intelligence (AI)
  • automobile
  • average material removal rate (AMRR)
  • bidirectional free-riding
  • bilateral cost-sharing decisions
  • block cutting
  • CAD
  • centroidal Voronoi diagram
  • channel fading
  • chaotic neural network
  • characteristic model
  • charging station
  • common-mode voltage
  • continuous stirring reactors
  • convex polygon (CPG)
  • convex polyhedron (CPH)
  • data reconciliation
  • data reconstruction
  • data-driven
  • DEMATEL method
  • denial-of-service (DoS)
  • differential game
  • discrete element method
  • dividing-wall distillation column
  • double deep Q-learning
  • durability
  • dynamically triggering mechanisms (DTMs)
  • economic evaluation
  • Economics, finance, business & management
  • electric vehicle
  • factor identification
  • fault classification
  • fault detection
  • fault diagnosis
  • finite element analysis
  • forging machine
  • fractional order
  • GANs
  • genetic algorithm
  • Green Growth
  • H8
  • historical iteration information
  • History of engineering & technology
  • hyperchaotic complex system
  • Industry & industrial studies
  • influencing factor
  • inspection
  • iteration termination control
  • knowledge-informed simplex search method
  • leakage current
  • linear golden-section adaptive control
  • logistics 4.0
  • manufacturing enterprises
  • mathematical modeling
  • maximum power point tracking
  • mechanism model
  • Methodology
  • Model Predictive Control
  • model-based design
  • modeling of industrial processes
  • multi-agent system
  • multi-sphere method
  • music generation
  • n/a
  • natural gas processing
  • Natural Language Processing
  • networked nonlinear systems (NNSs)
  • open-die forging
  • optimization method
  • parameter acquisition
  • particle modelling
  • path optimization
  • path planning
  • performance optimization
  • permanent magnet synchronous motor
  • photovoltaic
  • porous structure
  • process design
  • process optimization
  • Production scheduling
  • quality estimator
  • reinforcement learning
  • resilient dynamically event-triggering (RDET)
  • resilient dynamically triggering controller (DTRC)
  • RTO
  • sequential-modular approach
  • simulation analysis
  • state prediction
  • steam generator level control
  • T-S fuzzy model
  • Technology, engineering, agriculture
  • Technology: general issues
  • temperature difference
  • temperature inferential control
  • time delay
  • TLSCA-SVM
  • tracking control
  • transfer learning
  • transformer
  • transformerless inverter
  • VSM
  • weak grid
  • wind farms
  • wiring

Links

DOI: 10.3390/books978-3-0365-6394-7

Editions

edition cover

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