AIChE Symposium Series, Volume 93, Issue 316American Institute of Chemical Engineers, 1997 - Chemical engineering |
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Page 213
... Multivariable System Identification There are two main issues in system identification . The first has to do with generating the input output data that contain relevant system information for closed - loop control . The second concerns ...
... Multivariable System Identification There are two main issues in system identification . The first has to do with generating the input output data that contain relevant system information for closed - loop control . The second concerns ...
Page 313
... multivariable controller , while the DAU1 mode has a SISO controller and a 4x4 multivariable controller . In the DAU 8 mode , a SISO controller and two 2x2 multivariable controllers are applied to the process . Hence , the DAU1 mode ...
... multivariable controller , while the DAU1 mode has a SISO controller and a 4x4 multivariable controller . In the DAU 8 mode , a SISO controller and two 2x2 multivariable controllers are applied to the process . Hence , the DAU1 mode ...
Page 347
... Multivariable control systems . Introduction Mp tuning uses frequency domain methods to achieve time domain performance objectives . It differs from other H methods in that multiple objectives are used to tune the multivariable system ...
... Multivariable control systems . Introduction Mp tuning uses frequency domain methods to achieve time domain performance objectives . It differs from other H methods in that multiple objectives are used to tune the multivariable system ...
Contents
Industry Assessment | 1 |
Predictive Control | 5 |
Adaptive and Nonlinear Control Fact or Fantasy? | 9 |
Copyright | |
22 other sections not shown
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adaptive control AIChE algorithm analysis analytical applications approach auto-correlation batch behavior changes Chem Chemical Engineering chemical process chip closed-loop constraints continuous control problems control system controller design defined developed discrete disturbance dynamic equations estimation example feedback control Figure finite Grafcet horizon hybrid systems identification IEEE implementation input linear control loop manufacturing matrix measured methods model predictive control monitoring Morari multivariable neural networks nonlinear control nonlinear model nonlinear systems on-line operating optimal control output error paper machine parameters Petri net PID controllers plant Proc process control process model programming Pulp and Paper quadratic quadratic program reactor robust robust control scheduling sensors sequence set point significant simulation snack food solution specifications stability step structure synthesis TAPPI Press techniques temperature theory tion trajectory transfer function trend trol uncertainty valve variables variance vector wafer