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This paper investigates the attitude control of rigid spacecraft in the presence of uncertainties, disturbances, and actuator faults. In order to effectively address these challenges and improve the performance of the system, a novel actor-critic neural-network-based fractional-order sliding mode control (ACNNFOSMC) has been developed for spacecraft. The integration of actor-critic neural network, fractional-order theory, and sliding mode control enables dual functionality: the actor-critic neural network serves to approximate the aggregate of uncertain parameters, disturbances, and actuator faults, thereby facilitating their compensation, while the fractional-order sliding mode control mechanism significantly improves the system's tracking precision and overall robustness against uncertainties. Theoretical analyses are presented to analyze the stability of the proposed control framework. Thorough examination via simulation experiments affirms the effectiveness and control precision of attitude of our proposed control strategy, even in complex operational scenarios. [ABSTRACT FROM AUTHOR]

This article explored the effect of instrumental interaction and relational interaction on consumer engagement (community engagement and brand engagement) among community members. The mediating effect of E-social capital was investigated as well. The research results showed that: both instrumental interaction and interpersonal interaction promote the formation of E-social capital (online trust and online reciprocity); online trust plays a partial mediating role between community interaction (instrumental interaction, relational interaction) and community engagement, but the influence of online reciprocity on community engagement is not significant; community engagement leads to brand engagement. The findings enrich the theories of brand community and consumer engagement and contribute to the virtual community management.

Online-games are products of hedonic information technology. Players’ addiction will lead to seriously negative consequences. That how to prevent online-game addiction exclusively becomes a problem concerned by whole society. The purpose of this study is to explore the influence factors and its mechanism that can weaken or even eliminate online-game addiction. On the basis of the theory of planned behaviour, anticipated guilt and past behaviour are introduced into the model to explain players’ quit intention of online-game. Data collected from 393 online-game players around China mainland indicate that negative attitude, negative-subjective norm and perceived behavioural control significantly affect the quit intention of online-game players, while the anticipated guilt plays a mediator role. Past behaviour can moderate the relations between the anticipated guilt and the quit intention of online-game players. The more the past game behaviour the player owns, the stronger the positive effects of anticipated guilt on game quit intention he/she will harbor. Conclusions are helpful to the intervention of player’s game behaviour and strengthen the self-control ability of players.