Residential College | false |
Status | 已發表Published |
Approximation-Based Adaptive Neural Tracking Control of Nonlinear MIMO Unknown Time-Varying Delay Systems with Full State Constraints | |
Li D.-P.; Li D.-J.; Liu Y.-J.; Tong S.; Chen C.L.P. | |
2017 | |
Source Publication | IEEE Transactions on Cybernetics |
ABS Journal Level | 3 |
ISSN | 21682267 |
Volume | 47Issue:10Pages:3100 |
Abstract | This paper deals with the tracking control problem for a class of nonlinear multiple input multiple output unknown time-varying delay systems with full state constraints. To overcome the challenges which cause by the appearances of the unknown time-varying delays and full-state constraints simultaneously in the systems, an adaptive control method is presented for such systems for the first time. The appropriate Lyapunov-Krasovskii functions and a separation technique are employed to eliminate the effect of unknown time-varying delays. The barrier Lyapunov functions are employed to prevent the violation of the full state constraints. The singular problems are dealt with by introducing the signal function. Finally, it is proven that the proposed method can both guarantee the good tracking performance of the systems output, all states are remained in the constrained interval and all the closed-loop signals are bounded in the design process based on choosing appropriate design parameters. The practicability of the proposed control technique is demonstrated by a simulation study in this paper. © 2013 IEEE. |
Keyword | Adaptive Control Barrier Lyapunov Functions (Blfs) Neural Networks (Nns) Nonlinear Multiple Input Multiple Output (Mimo) Time-delay Systems |
DOI | 10.1109/TCYB.2017.2707178 |
URL | View the original |
Language | 英語English |
WOS ID | WOS:000409311800012 |
The Source to Article | Scopus |
Scopus ID | 2-s2.0-85020721101 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | University of Macau |
Recommended Citation GB/T 7714 | Li D.-P.,Li D.-J.,Liu Y.-J.,et al. Approximation-Based Adaptive Neural Tracking Control of Nonlinear MIMO Unknown Time-Varying Delay Systems with Full State Constraints[J]. IEEE Transactions on Cybernetics, 2017, 47(10), 3100. |
APA | Li D.-P.., Li D.-J.., Liu Y.-J.., Tong S.., & Chen C.L.P. (2017). Approximation-Based Adaptive Neural Tracking Control of Nonlinear MIMO Unknown Time-Varying Delay Systems with Full State Constraints. IEEE Transactions on Cybernetics, 47(10), 3100. |
MLA | Li D.-P.,et al."Approximation-Based Adaptive Neural Tracking Control of Nonlinear MIMO Unknown Time-Varying Delay Systems with Full State Constraints".IEEE Transactions on Cybernetics 47.10(2017):3100. |
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