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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Liu Qingsong Cao Taibin Qian Suxiang |
| Copyright Year | 2008 |
| Description | Author affiliation: Sch. of Mech. & Electr. Eng., Jiaxing Univ., Jiaxing (Liu Qingsong; Cao Taibin; Qian Suxiang) |
| Abstract | Considering the requirement of high performance of system, a fuzzy internal model controller based on mind evolutionary computation is designed. The optimal parameters of the processes model are quickly obtained online by mind evolutionary computation, which are been sent to fuzzy internal model controller for accurate compensation. The controller was used to deal with large time-delay and time-varying processes. The results of simulations and experimentation show, both dynamic and steady performance are improved evidently and the results are satisfactory. |
| Starting Page | 56 |
| Ending Page | 59 |
| File Size | 265770 |
| Page Count | 4 |
| File Format | |
| ISBN | 9787900719706 |
| DOI | 10.1109/CHICC.2008.4605518 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-07-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute Of Intelligence M&C Technical Of KMUST |
| Subject Keyword | Computational modeling Process control Evolutionary computation Artificial neural networks Nickel Fuzzy internal model controller Object recognition Niobium Mind evolutionary computation Intelligence control |
| Content Type | Text |
| Resource Type | Article |
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