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Content Provider | IEEE Xplore Digital Library |
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Author | Khodabandeh, M. Bolandi, H. |
Copyright Year | 2007 |
Description | Author affiliation: Iran Univ. of Sci. & Technol., Tehran (Khodabandeh, M.; Bolandi, H.) |
Abstract | Two predictive controllers have been designed in this paper. The first model predictive controller is designed by considering a state space model and an extended kalman filter for estimate of the states of nonlinear model. The second one is based on the linear ARMA model and by employing adaptation mechanism; it can be applied to the nonlinear systems. Identification of the linear model parameters in each sample time from a recursive least square method is the suggested technique for adaptation. These methods are applied to a CSTR; as a nonlinear MIMO system with considering measurable disturbances. Simulations are performed for normal operating condition and a case in which system is caused with disturbance. |
Starting Page | 1466 |
Ending Page | 1471 |
File Size | 779685 |
Page Count | 6 |
File Format | |
ISBN | 9788995003862 |
DOI | 10.1109/ICCAS.2007.4406570 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2007-10-17 |
Publisher Place | South Korea |
Access Restriction | Subscribed |
Rights Holder | ICASE |
Subject Keyword | Extended Kalman Filter Predictive models Nonlinear control systems Control systems Model Predictive Control Continuous Stirred Tank Reactor Adaptive Automatic control Control system synthesis MIMO Continuous-stirred tank reactor State estimation Nonlinear systems Predictive control |
Content Type | Text |
Resource Type | Article |
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