Modeling and Advanced Control for Process Industries

1 Background.- 1.1 Paper Making: Process Fundamentals.- 1.2 Paper Machine Control Problems.- 1.3 References.- 2 Process Dynamics and Modeling.- 2.1 Introduction.- 2.2 Pressurized Headboxes.- 2.3 Open Headbox.- 2.4 Wire and Press.- 2.5 Drying Section.- 2.6 Model Accuracy Test and Conclusions.- 2.7 References.- 3 Robust Control.- 3.1 Introduction.- 3.2 Multi-model Robust Control.- 3.3 Conclusions.- 3.4 References.- 4 Predictive Control.- 4.1 Adaptive Fading Kalman Filter.- 4.2 Adaptive Predictive Control.- 4.3 Model Algorithmic Control.- 4.4 Conclusions.- 4.5 References.- 5 Bilinear Control.- 5.1 Introduction.- 5.2 Bilinear Decoupling Control.- 5.3 Bilinear State Observers.- 5.4 Bilinear Suboptimal Control.- 5.5 Conclusions.- 5.6 References.- 6 Fault-Tolerant Control.- 6.1 Introduction.- 6.2 Fault-tolerant Control of Headboxes.- 6.3 Fault-tolerant Control of Drying Section.- 6.4 Conclusions.- 6.5 References.- 7 Fuzzy Control.- 7.1 Fuzzy Optimal Control.- 7.2 Fuzzy-Precise Combined Control.- 7.3 Conclusions.- 7.4 References.- 8 Expert Systems.- 8.1 Introduction to Expert Systems.- 8.2 IDIS for Process Control System Design.- 8.3 Application to Headbox Control System Design.- 8.4 Conclusions.- 8.5 References.- 9 Modeling via Artificial Neural Network.- 9.1 Introduction.- 9.2 Fundamentals of Artificial Neural Network.- 9.3 Backpropagation Learning Paradigm.- 9.4 Application to Paper Machine.- 9.5 Conclusions.- 9.6 References.- 10 IOMCS for Pulp and Paper Processes.- 10.1 Introduction.- 10.2 System design and implementation.- 10.3 Conclusions.- 10.4 References.