Process Modelling for Control: A Unified Framework Using Standard Black-box Techniques (Advances in Industrial Control)

Process Modelling for Control: A Unified

📁 Process Modelling for Control: A Unified Framework Using Standard Black-box Techniques (Advances in Industrial Control)

✍ Benoit Codrons 📂 Library 📅 2005 🌐 English

Process Modelling for Control concentrates on the modelling steps underlying a successful control design, answering questions like: How should I carry out the identification of my process to obtain a good model?How can I assess the quality of a model before to using it in control design?How can I e

Process Modelling for Control: A Unified

📁 Process Modelling for Control: A Unified Framework Using Standard Black-box Techniques (Advances in Industrial Control)

✍ Benoit Codrons 📂 Library 📅 2005 🏛 Springer 🌐 English

Process Modelling for Control concentrates on the modelling steps underlying a successful control design, answering questions like: How should I carry out the identification of my process to obtain a good model?How can I assess the quality of a model before to using it in control design?How can I e

Process Modelling for Control: A Unified

📁 Process Modelling for Control: A Unified Framework Using Standard Black-box Techniques

✍ Benoît Codrons Dr.Eng. (auth.) 📂 Library 📅 2005 🏛 Springer-Verlag London 🌐 English

Many process control books focus on control design techniques, taking the construction of a process model for granted. Process Modelling for Control concentrates on the modelling steps underlying a successful design, answering questions like:How should I carry out the id

Industrial PID Controller Tuning: With a

📁 Industrial PID Controller Tuning: With a Multiobjective Framework Using MATLAB® (Advances in Industrial Control)

✍ José David Rojas, Orlando Arrieta, Ramon Vilanova 📂 Library 📅 2021 🏛 Springer 🌐 English

Industrial PID Controller Tuning presents a different view of the servo/regulator compromise that has been studied for a long time in industrial control research. Optimal tuning generally involves comparison of cost functions (e.g., a quadratic function of the error or a time-weighted abso

Industrial PID Controller Tuning: With a

📁 Industrial PID Controller Tuning: With a Multiobjective Framework Using MATLAB® (Advances in Industrial Control)

✍ José David Rojas, Orlando Arrieta, Ramon Vilanova 📂 Library 📅 2021 🏛 Springer 🌐 English

Industrial PID Controller Tuning presents a different view of the servo/regulator compromise that has been studied for a long time in industrial control research. Optimal tuning generally involves comparison of cost functions (e.g., a quadratic function of the error or a time-w

Supervision and Control for Industrial P

📁 Supervision and Control for Industrial Processes: Using Grey Box Models, Predictive Control and Fault Detection Methods

✍ Björn Sohlberg PhD (auth.) 📂 Library 📅 1998 🏛 Springer-Verlag London 🌐 English

The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology impacts all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods,