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https://doi.org/10.1007/978-3-540-78482-1_9
| Title: | Multivariable process identification | Authors: | Wang, Q.-G. Ye, Z. Cai, W.-J. Hang, C.-C. |
Issue Date: | 2008 | Citation: | Wang, Q.-G.,Ye, Z.,Cai, W.-J.,Hang, C.-C. (2008). Multivariable process identification. Lecture Notes in Control and Information Sciences 373 : 219-249. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-540-78482-1_9 | Abstract: | Chapters 5-7 present several new PID controller design methods for MIMO systems but all these methods are model-based. That's why system identification plays an important role in the control engineering. This chapter focuses on system identification for both SISO and MIMO systems. Several identification algorithms are presented. The biggest improvement to the existing methods is that our methods can give accurate system model even in presence of time delay, unknown initial conditions and disturbances. © 2008 Springer-Verlag Berlin Heidelberg. | Source Title: | Lecture Notes in Control and Information Sciences | URI: | http://scholarbank.nus.edu.sg/handle/10635/56743 | ISBN: | 9783540784814 | ISSN: | 01708643 | DOI: | 10.1007/978-3-540-78482-1_9 |
| Appears in Collections: | Staff Publications |
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