Dynamic output feedback control of minimum-phase multivariable nonlinear processes
dc.contributor.author | Daoutidis, Prodromos | en_US |
dc.contributor.author | Kravaris, Costas | en_US |
dc.date.accessioned | 2006-04-10T18:29:21Z | |
dc.date.available | 2006-04-10T18:29:21Z | |
dc.date.issued | 1994 | en_US |
dc.identifier.citation | Daoutidis, Prodromos, Kravaris, Costas (1994)."Dynamic output feedback control of minimum-phase multivariable nonlinear processes." Chemical Engineering Science 49(4): 433-447. <http://hdl.handle.net/2027.42/31933> | en_US |
dc.identifier.uri | http://www.sciencedirect.com/science/article/B6TFK-444G1P6-5Y/2/de56b4068cae7c22cd99e27d1d9d2f83 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/31933 | |
dc.description.abstract | This paper concerns the synthesis of dynamic output feedback controllers for minimum-phase multivariable nonlinear processes with a nonsingular characteristic matrix. State-space controller realizations are derived that induce a linear input/output behavior of general form in the closed-loop system. A combination of input/output linearizing state feedback laws and state observers is employed for the derivation of the controllers. For open-loop stable processes, the process model is used as an open-loop state observer. In the more general case of possible open-loop instability, a reduced-order observer is used based on the forced zero dynamics of the process model. The performance and robustness characteristics of the proposed control methodology are illustrated through simulations in a chemical reactor example. | en_US |
dc.format.extent | 1085585 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | Dynamic output feedback control of minimum-phase multivariable nonlinear processes | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Chemical Engineering | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Chemical Engineering, The University of Michigan, Ann Arbor, MI 48109-2136, U.S.A | en_US |
dc.contributor.affiliationum | Department of Chemical Engineering, The University of Michigan, Ann Arbor, MI 48109-2136, U.S.A | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/31933/1/0000886.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0009-2509(94)80045-6 | en_US |
dc.identifier.source | Chemical Engineering Science | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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