Adaptive Reduced Parameters Fault-Tolerant Control

The problem of cooperative control has garnered extensive attention and found widespread applications across diverse fields, including spacecraft formation flying (Cao et al. 2022; Liang et al. 2022), unmanned aerial vehicle (UAV) swarms (Zheng et al. 2022), and multi-robot systems (Wei et al. 2018; Yang et al. 2022). Within this research domain, tracking control for multiagent systems (MASs) stands out as a core focus of cooperative control studies (Shao et al. 2021; Yao et al. 2022; Lin et al. 2022; Liang et al. 2022; Wang et al. 2022; Shangguan et al. 2021). Nevertheless, the presence of random noise is an unavoidable practical challenge that undermines the overall operational performance of MASs. Notably, the coexistence of competitive and cooperative interactions among agents is more aligned with the characteristics of real-world systems. In light of this, a multitude of bipartite tracking control strategies have been developed specifically for stochastic MASs (Liu et al. 2020; Liang et al. 2020). Furthermore, the inherent complexity of such systems not only elevates the likelihood of actuator failures but also poses the risk of global information loss within the control architecture.