Ren-Jie Gu, Tao Han, Bo Xiao, Xi-Sheng Zhan, Huaicheng Yan
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引用次数: 0
Abstract
The goal of this article is to investigate the bipartite tracking control problem using a prescribed-time convergence method for Euler–Lagrange systems (ELSs) with external disturbances. Agent interactions are represented by a matrix-weighted signed directed graph. There are not only cooperative but also adversarial interactions. An essential component of the system, the prescribed-time hierarchical control (PTHC) algorithm, including a more general time-varying function, is newly developed to guarantee that all agents converge to the same leader state but with opposite signs within a prescribed time. The salient feature of the introduced method lies in the fact that the convergence time of the control objective can be prespecified by the user. The state transformation, the property of the matrix-weighted Laplacian, and the generalized Lyapunov stability argument are employed to theoretically validate the proposed algorithms. Finally, the effectiveness of the algorithm is confirmed through the execution of numerical examples.
期刊介绍:
Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.