Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
408255 | Neurocomputing | 2016 | 4 Pages |
This paper attempts multiple-targets tracking control design for a class of single-input multiple-output (SIMO) nonlinear systems. In order to solve the considered problem, a set of feedforward compensators is preliminarily introduced. The compensators are independent of system states, and their inputs are only target signals and the corresponding derivatives. It is shown that the tracking control law can be efficiently designed under our proposed feedback-controller feedforward-compensator framework. Meanwhile, it is proven that given multiple-target signals can be asymptotically tracked by our designed controllers and compensators. Finally, simulation results are given to show the effectiveness of the theoretical approaches and potential of the proposed design techniques.