A composite nonlinear feedback (CNF) control with dynamic event‐triggered strategy for saturated systems is considered in this paper. The CNF control is introduced to improve the system response speed and reduce the overshoot under disturbances. The dynamic event‐triggered mechanism (DETM) is utilized to save more communication resources. The focus of this paper is to achieve the asymptotic tracking of saturated systems by combining DETM with CNF control. A criterion is presented to guarantee that the system can track the reference input signal asymptotically. Zeno behavior is eliminated by proving the minimum time interval is greater than zero. Finally, simulations are carried out to verify the correctness of the proposed results.

The composite nonlinear feedback (CNF) control problem with event-triggered strategy for saturated systems with measurement feedback is considered in this paper. Both the full-order measurement and the reduced-order one are investigated to ensure the satisfactory performance of the closed-loop saturated systems under the proposed event-triggered mechanism. Generally speaking, the CNF control is divided into the linear control part and the nonlinear control part, which are designed separately. The purpose of the former is to shorten the rise time, while the latter aims at reducing the overshoot caused by the former. In this paper, a co-design method of linear and nonlinear control parts is proposed such that the control output tracks the reference input asymptotically with a good transient performance. Moreover, the parameter of CNF is applied to the construction of event-triggered mechanism which can efficiently reduce the communication burden. In order to avoid Zeno behavior, the minimum event-triggering time interval is explicitly formulated. Finally, an example of fighter aircraft is given for illustration.

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The era of the digital economy has promoted a new round of globalization driven by digital technology, and digital innovation will affect the business model of enterprises in all aspects. This paper uses computer language technology to mine the annual report texts of 280 listed companies in the information transmission, software and information technology service industries in Shenzhen and Shanghai, and conducts an empirical analysis of the association rule Apriori algorithm for digital innovation and business models. Two indicators, descriptive digital innovation and true digital innovation, are used to comprehensively evaluate the level of digital innovation of enterprises. It also portrays the business model of the enterprise from three dimensions: value creation, value transmission and value realization. The empirical results show that: digital innovation is an important factor of the business model; the value creation of the business model is significantly negatively correlated with the digital innovation; the value transmission and value realization of the business model is significantly positively correlated with the digital innovation.