This work is devoted to investigating the asynchronous quantized control of discrete-time Markovian switching Lur’e systems with an event-triggered mechanism. To model the asynchronous controller and the quantization effects, the hidden Markov model is employed. For reducing the burden of communication bandwidth, an event-triggered mechanism is adopted. By choosing the proper stochastic Lyapunov functional, sufficient conditions are derived. Finally, a practical example is given to illustrate the effectiveness and efficiency of the proposed method. 相似文献
2,5-Furandicarboxylic acid(FDCA) is a potential biorenewable chemical for applications including plastics, polyamides, drugs, etc. The selective biosynthesis of FDCA from 5-hydroxymethylfurfural(HMF) by a specific enzyme poses a great challenge. In this study, we reported an efficient strategy to produce FDCA from HMF by the tandem biocatalysis of laccase(Cot A-TJ102@UIO-66-NH_2) and Novozym 435. For the first step, a nanoparticle metal–organic framework was synthesized as a carrier to immobilize Cot A-TJ102@UIO-66-NH_2, which was assigned for the production of 5-formyl-2-furancarboxylic acid(FFCA) and featured an enzyme loading of 255.54 mg/g, specific activity of 135.90 U/mg, and solid loading ratio of 99.65%. Under optimal conditions, an ideal FFCA yield of 98.5% was achieved, and the Cot A-TJ102@UIO-66-NH_2 presented a high recycling capacity after 10 cycles. For the second step, Novozym 435 was applied for the further conversion of FFCA into FDCA, presenting a high FDCA yield of 95.5% under the optimized conditions. Novozym 435 also exhibited a high recyclability after eight cycles. As a result, the tandem biocatalysis strategy provided a 94.2% FDCA yield from HMF, indicating its excellence as a method for FDCA production. 相似文献
Environmental, social, and governance (ESG) performance, along with the novelty of innovation, are significant factors in promoting sustainable development for corporations. This study employs the Heckman two-stage model to examine the impact of ESG performance on innovation novelty using a dataset comprising A-share listed companies in the Shanghai and Shenzhen Stock Exchanges from 2011 to 2020. The results indicate that enhanced ESG performance significantly fosters innovation by expanding innovation resources and mitigating agency problems. Further analysis reveals that this relationship is more pronounced under high economic policy uncertainty, a challenging information environment, elevated financing constraints, and in the context of digital transformation. This study not only expands the research on the economic implications of ESG performance for enterprise innovation behavior but also places a distinct emphasis on innovation quality rather than quantity. Additionally, this study enriches the existing literature on the factors influencing innovation novelty and extends research into the link between environmental protection and firm innovation, particularly from the perspective of stakeholder theory. Furthermore, this study holds practical significance for governments aiming to enhance ESG evaluation systems and establish guiding policies that encourage novel innovations, ultimately contributing to sustainable and high-quality development. Simultaneously, this study provides guidance to enterprises by encouraging them to embrace green development, improve social responsibility, and elevate their governance standards to promote innovation quality.View The PDF 相似文献
In this paper, the finite-time exponential consensus problem is addressed for a class of multi-agent systems against some disturbed factors, which include system uncertainties, communication perturbations, and actuator faults. All disturbed factors are supposed to be influenced by internal and external effects of systems. The internal effects are described in terms of dependency on the system states, while the external actions are restricted by constant bounds. To obtain the information of the rate of dependency on the states and constant bounds, an adaptive mechanism is designed to estimate the rate and bounds. Based on these estimates, a distributed adaptive sliding mode controller is constructed to eliminate the effects of those disturbed factors. Then exponential consensus of the closed-loop adaptive multi-agent system is achieved within a finite time based on Lyapunov stability theory. The efficiency of the developed adaptive consensus control strategy is verified by a coupled system with four F-18 aircrafts of decoupled longitudinal model. 相似文献
