This study formulated an iterative learning-based predictive control strategy for asynchronous switching of multiphase batch processes with complex characteristics in the framework of a two-dimensional (2-D) system. First, we constructed a Fornasini–Marchesini comprehensive feedback error model, considering the state deviation and output error. Using this model, we developed a switching model considering the match and mismatch cases. Furthermore, an iterative learning-based predictive control mechanism was designed for asynchronous switching with a greater freedom of adjustment and fast learning ability in the batch direction. Second, the asymptotic and exponential stability were discussed based on the related methods and theories, and the system stability conditions were expressed in the form of linear matrix inequality (LMI). Following an online mechanism to determine the LMI conditions, we derived the real-time optimal gains of the control law, the maximum dwell period (Max-DT) for the mismatch case, and the minimum dwell period for the match case. The switching signal was transmitted in advance according to the Max-DT to ensure the stability of the system during switching. Finally, the effectiveness of the proposed method was confirmed by utilizing the injection molding process.

By using the data from Chinese listed companies in the Shanghai and Shenzhen A-share market for the period 2007 to 2019 and the Report on the Work of the Government, this paper investigates the impact of the local government’s economic growth target constraints on enterprise technological innovation and its mechanism. It is found that the local government’s economic growth target constraints significantly inhibit enterprise technological innovation, which is more obvious in the samples of SOEs, regulated industries, and enterprises at low marketization levels. The change of government officials’ performance appraisal indicators from the quantity to quality of economic growth can alleviate the negative effect. The mechanism effect test indicates that the local government’s economic growth target constraints will aggravate enterprise financing constraints and decrease the contribution of R&D investment to enterprise performance, and further inhibit enterprise technological innovation.

Emotion plays an important role in decision making. In an emergency, panic can spread among crowds through person-to-person communications and can cause harmful effects on society. The aim of this paper is to propose a new theoretical model in the context of epidemiology to describe the spread of panic under an emergency. First, according to divisions in personality in the context of psychology, groups are divided into a level-headed group and an impatient group. Second, individuals in the two groups have unique personalities. Thus, the level-headed group only infects within the group, while the impatient group considers emotional infection within the group and cross infection between the groups. Then, a nonlinear infection rate is used to describe the probability of infection after an infected person contacts a susceptible person, which is more in line with the real situation. After that, the level-headed group–impatient group nonlinear SIRS panic spreading model is developed. Stable analysis of the model is obtained using the Lyapunov function method to study the stability of the panic-free equilibrium and panic-permanence equilibrium. Finally, simulations are carried out to dynamically describe the spread process of group emotional contagion.

The interlocking director network can not only help achieve low-cost information sharing and exchange learning among enterprises, but also provide essential resource support for corporate risk-taking behavior. This study aims to empirically analyze the impact, mechanism of action, and boundary of influence of interlocking director network (NET) on corporate risk-taking (RISK) using data of Chinese A-share listed companies from 2007 to 2020.The results show: (1) There is a significant positive correlation between NET and RISK, and the above results are still established after a series of robustness tests. (2) Mechanistic tests show that the NET can promote RISK through two channels: alleviating financing constraints and increasing R&D investment. (3) Further analysis reveals the promotion of NET on RISK is more significant in non-state-owned enterprises and enterprises with higher industry competition intensity. These findings have positive implications for the construction of an inter-enterprise interlocking director network and the enhancement the of the risk-taking level.