Please use this identifier to cite or link to this item: 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
Source: 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
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