From the reviews: "This book makes a much needed connection between fuzzy control and plants that can readily be modeled as queuing systems ... . The strengths of the book are its systematic approach to structuring control problems and its emphasis on the construction of fuzzy models for various queuing systems. ... the book is unique in linking queuing theory with fuzzy control, making it a valuable reference." (IEEE Control Systems Magazine, June, 2005) "The book provides a number of results in queuing control from the point of view of fuzzy logic. The authors consider fuzzy control as an effective approach in nonlinear or large-scale systems control ... . The material of the book can be useful to advanced undergraduate and graduate students. Also, researchers and practitioners in the field of queuing control, systems analysis, manufacturing, and communications may benefit from it." (Oleg K. Zakusilo, Zentralblatt MATH, Vol. 1064, 2005)

• 1 Process Modelling and Simulation Methods.- 1.1 Process Review.- 1.2 Modelling Preliminary and Primary Processes.- 1.3 Modelling the Activated Sludge Process.- 1.4 Uses of the Model.- 1.5 Modelling Principles.- 1.6 Conclusions.- 1.7 Further Reading.- 2 Process Control Structures.- 2.1 The Actuator — Plant and — Measurement Sequence.- 2.2 A Unified Actuator — Plant — Measurement Processes.- 2.3 Process Disturbances.- 2.4 Open Loop Control.- 2.5 The Feedback Control Loop.- 2.6 On-Off Control.- 2.7 Three Term Controllers.- 2.8 Cascade Control Loops.- 2.9 Ratio Control.- 2.10 Feedforward Control.- 2.11 Inferential Control.- 2.12 Advanced Control Features: Methods of Controller Adaptation.- 2.13 Conclusions.- 2.14 Further Reading.- 3 Supervisory Control and Data Acquisition Systems and Virtual Instrumentation.- 3.1 Introduction.- 3.2 Economic Benefits.- 3.3 A Classification For Supervisory Control Problems.- 3.4 Technological Background.- 3.5 Distributed Control System Technology.- 3.6 Functionality of the DCS.- 3.7 On Designing Supervisory Control.- 3.8 Virtual Instrumentation (VI) and a Design Exercise.- 3.9 Conclusions.- 3.10 Further Reading.- 4 Quality Control For Dynamic Processes.- 4.1 Introduction.- 4.2 Data Collection and Presentation.- 4.3 Elementary Statistical Measures.- 4.4 Process Variations.- 4.5 Process Control.- 4.6 Assessment of Process Stability.- 4.7 Process Capability Indices.- 4.8 Example.- 4.9 Conclusions.- 4.10 Further Reading.- 5 Sensors and Actuators.- 5.1 Physical Measurement: Level.- 5.2 Physical Measurement: Flow.- 5.3 Flumes.- 5.4 Analytical Measurement: Ion Selective Electrodes.- 5.5 Analytical Measurement: Dissolved Oxygen (DO).- 5.6 Analytical Measurement: Turbidity and Suspended Solids.- 5.7 ‘Self-Cleaning’ Sensors.- 5.8Actuators: Pumps.- 5.9 Conclusions.- 5.10 Further Reading.- 6 Data Communications.- 6.1 Introduction.- 6.2 Dumb Terminals and Smart Sensors.- 6.3 Digital Communication.- 6.4 The ISO 7-Layer Model.- 6.5 Distributed Communication Systems.- 6.6 HART Communication System.- 6.7 Fieldbus.- 6.8 Examples of WWTP Communications.- 6.9 Conclusions.- 6.10 Further Reading.- 7 Knowledge-Based Systems.- 7.1 Expert Systems in Process Control.- 7.2 Modelling of Complex Process Using Neural Nets.- 7.3 Fuzzy Logic Control.- 7.4 Conclusions.- 7.5 References.- 8 Wastewater Treatment Plants: An Exercise.- 8.1 Introduction.- 8.2 Control Systems.- 8.3 Alarms.- 8.4 Data Display.- 8.5 Fault Monitoring.- 8.6 DO Control Using LabVIEW.- 8.7 Further Reading.- Appendix A: Modelling and Control Demonstrations.- Appendix B: Author Profiles.

From the reviews: "This book makes a much needed connection between fuzzy control and plants that can readily be modeled as queuing systems ... . The strengths of the book are its systematic approach to structuring control problems and its emphasis on the construction of fuzzy models for various queuing systems. ... the book is unique in linking queuing theory with fuzzy control, making it a valuable reference." (IEEE Control Systems Magazine, June, 2005) "The book provides a number of results in queuing control from the point of view of fuzzy logic. The authors consider fuzzy control as an effective approach in nonlinear or large-scale systems control ... . The material of the book can be useful to advanced undergraduate and graduate students. Also, researchers and practitioners in the field of queuing control, systems analysis, manufacturing, and communications may benefit from it." (Oleg K. Zakusilo, Zentralblatt MATH, Vol. 1064, 2005)

• 1 Process Modelling and Simulation Methods.- 1.1 Process Review.- 1.2 Modelling Preliminary and Primary Processes.- 1.3 Modelling the Activated Sludge Process.- 1.4 Uses of the Model.- 1.5 Modelling Principles.- 1.6 Conclusions.- 1.7 Further Reading.- 2 Process Control Structures.- 2.1 The Actuator — Plant and — Measurement Sequence.- 2.2 A Unified Actuator — Plant — Measurement Processes.- 2.3 Process Disturbances.- 2.4 Open Loop Control.- 2.5 The Feedback Control Loop.- 2.6 On-Off Control.- 2.7 Three Term Controllers.- 2.8 Cascade Control Loops.- 2.9 Ratio Control.- 2.10 Feedforward Control.- 2.11 Inferential Control.- 2.12 Advanced Control Features: Methods of Controller Adaptation.- 2.13 Conclusions.- 2.14 Further Reading.- 3 Supervisory Control and Data Acquisition Systems and Virtual Instrumentation.- 3.1 Introduction.- 3.2 Economic Benefits.- 3.3 A Classification For Supervisory Control Problems.- 3.4 Technological Background.- 3.5 Distributed Control System Technology.- 3.6 Functionality of the DCS.- 3.7 On Designing Supervisory Control.- 3.8 Virtual Instrumentation (VI) and a Design Exercise.- 3.9 Conclusions.- 3.10 Further Reading.- 4 Quality Control For Dynamic Processes.- 4.1 Introduction.- 4.2 Data Collection and Presentation.- 4.3 Elementary Statistical Measures.- 4.4 Process Variations.- 4.5 Process Control.- 4.6 Assessment of Process Stability.- 4.7 Process Capability Indices.- 4.8 Example.- 4.9 Conclusions.- 4.10 Further Reading.- 5 Sensors and Actuators.- 5.1 Physical Measurement: Level.- 5.2 Physical Measurement: Flow.- 5.3 Flumes.- 5.4 Analytical Measurement: Ion Selective Electrodes.- 5.5 Analytical Measurement: Dissolved Oxygen (DO).- 5.6 Analytical Measurement: Turbidity and Suspended Solids.- 5.7 ‘Self-Cleaning’ Sensors.- 5.8Actuators: Pumps.- 5.9 Conclusions.- 5.10 Further Reading.- 6 Data Communications.- 6.1 Introduction.- 6.2 Dumb Terminals and Smart Sensors.- 6.3 Digital Communication.- 6.4 The ISO 7-Layer Model.- 6.5 Distributed Communication Systems.- 6.6 HART Communication System.- 6.7 Fieldbus.- 6.8 Examples of WWTP Communications.- 6.9 Conclusions.- 6.10 Further Reading.- 7 Knowledge-Based Systems.- 7.1 Expert Systems in Process Control.- 7.2 Modelling of Complex Process Using Neural Nets.- 7.3 Fuzzy Logic Control.- 7.4 Conclusions.- 7.5 References.- 8 Wastewater Treatment Plants: An Exercise.- 8.1 Introduction.- 8.2 Control Systems.- 8.3 Alarms.- 8.4 Data Display.- 8.5 Fault Monitoring.- 8.6 DO Control Using LabVIEW.- 8.7 Further Reading.- Appendix A: Modelling and Control Demonstrations.- Appendix B: Author Profiles.

From the reviews: "This book makes a much needed connection between fuzzy control and plants that can readily be modeled as queuing systems ... . The strengths of the book are its systematic approach to structuring control problems and its emphasis on the construction of fuzzy models for various queuing systems. ... the book is unique in linking queuing theory with fuzzy control, making it a valuable reference." (IEEE Control Systems Magazine, June, 2005) "The book provides a number of results in queuing control from the point of view of fuzzy logic. The authors consider fuzzy control as an effective approach in nonlinear or large-scale systems control ... . The material of the book can be useful to advanced undergraduate and graduate students. Also, researchers and practitioners in the field of queuing control, systems analysis, manufacturing, and communications may benefit from it." (Oleg K. Zakusilo, Zentralblatt MATH, Vol. 1064, 2005)

• 1 Process Modelling and Simulation Methods.- 1.1 Process Review.- 1.2 Modelling Preliminary and Primary Processes.- 1.3 Modelling the Activated Sludge Process.- 1.4 Uses of the Model.- 1.5 Modelling Principles.- 1.6 Conclusions.- 1.7 Further Reading.- 2 Process Control Structures.- 2.1 The Actuator — Plant and — Measurement Sequence.- 2.2 A Unified Actuator — Plant — Measurement Processes.- 2.3 Process Disturbances.- 2.4 Open Loop Control.- 2.5 The Feedback Control Loop.- 2.6 On-Off Control.- 2.7 Three Term Controllers.- 2.8 Cascade Control Loops.- 2.9 Ratio Control.- 2.10 Feedforward Control.- 2.11 Inferential Control.- 2.12 Advanced Control Features: Methods of Controller Adaptation.- 2.13 Conclusions.- 2.14 Further Reading.- 3 Supervisory Control and Data Acquisition Systems and Virtual Instrumentation.- 3.1 Introduction.- 3.2 Economic Benefits.- 3.3 A Classification For Supervisory Control Problems.- 3.4 Technological Background.- 3.5 Distributed Control System Technology.- 3.6 Functionality of the DCS.- 3.7 On Designing Supervisory Control.- 3.8 Virtual Instrumentation (VI) and a Design Exercise.- 3.9 Conclusions.- 3.10 Further Reading.- 4 Quality Control For Dynamic Processes.- 4.1 Introduction.- 4.2 Data Collection and Presentation.- 4.3 Elementary Statistical Measures.- 4.4 Process Variations.- 4.5 Process Control.- 4.6 Assessment of Process Stability.- 4.7 Process Capability Indices.- 4.8 Example.- 4.9 Conclusions.- 4.10 Further Reading.- 5 Sensors and Actuators.- 5.1 Physical Measurement: Level.- 5.2 Physical Measurement: Flow.- 5.3 Flumes.- 5.4 Analytical Measurement: Ion Selective Electrodes.- 5.5 Analytical Measurement: Dissolved Oxygen (DO).- 5.6 Analytical Measurement: Turbidity and Suspended Solids.- 5.7 ‘Self-Cleaning’ Sensors.- 5.8Actuators: Pumps.- 5.9 Conclusions.- 5.10 Further Reading.- 6 Data Communications.- 6.1 Introduction.- 6.2 Dumb Terminals and Smart Sensors.- 6.3 Digital Communication.- 6.4 The ISO 7-Layer Model.- 6.5 Distributed Communication Systems.- 6.6 HART Communication System.- 6.7 Fieldbus.- 6.8 Examples of WWTP Communications.- 6.9 Conclusions.- 6.10 Further Reading.- 7 Knowledge-Based Systems.- 7.1 Expert Systems in Process Control.- 7.2 Modelling of Complex Process Using Neural Nets.- 7.3 Fuzzy Logic Control.- 7.4 Conclusions.- 7.5 References.- 8 Wastewater Treatment Plants: An Exercise.- 8.1 Introduction.- 8.2 Control Systems.- 8.3 Alarms.- 8.4 Data Display.- 8.5 Fault Monitoring.- 8.6 DO Control Using LabVIEW.- 8.7 Further Reading.- Appendix A: Modelling and Control Demonstrations.- Appendix B: Author Profiles.