| contributor author | Feng-Hsiag Hsiao | |
| contributor author | Yew-Wen Liang | |
| contributor author | Gwo-Chuan Lee | |
| contributor author | Sheng-Dong Xu | |
| date accessioned | 2017-05-09T00:23:11Z | |
| date available | 2017-05-09T00:23:11Z | |
| date copyright | May, 2007 | |
| date issued | 2007 | |
| identifier issn | 0022-0434 | |
| identifier other | JDSMAA-26393#343_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/135469 | |
| description abstract | The stabilization problem is considered in this study for a neural-network (NN) linearly interconnected system that consists of a number of NN models. First, a linear difference inclusion (LDI) state-space representation is established for the dynamics of each NN model. Then, based on the LDI state-space representation, a stability criterion in terms of Lyapunov’s direct method is derived to guarantee the asymptotic stability of closed-loop NN linearly interconnected systems. Subsequently, according to this criterion and the decentralized control scheme, a set of Takagi-Sugeno (T-S) fuzzy controllers is synthesized to stabilize the NN linearly interconnected system. Finally, a numerical example with simulations is given to demonstrate the concepts discussed throughout this paper. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Decentralized Stabilization of Neural Network Linearly Interconnected Systems via T-S Fuzzy Control | |
| type | Journal Paper | |
| journal volume | 129 | |
| journal issue | 3 | |
| journal title | Journal of Dynamic Systems, Measurement, and Control | |
| identifier doi | 10.1115/1.2234492 | |
| journal fristpage | 343 | |
| journal lastpage | 351 | |
| identifier eissn | 1528-9028 | |
| tree | Journal of Dynamic Systems, Measurement, and Control:;2007:;volume( 129 ):;issue: 003 | |
| contenttype | Fulltext | |
