Baoji University of Arts and Sciences

About: Baoji University of Arts and Sciences is a education organization based out in Xi'an, China. It is known for research contribution in the topics: Catalysis & Phosphor. The organization has 1487 authors who have published 1721 publications receiving 18669 citations. The organization is also known as: Baoji University & Shaanxi Normal University in Baoji.

Adaptive Consensus of Multi-Agent Systems With Unknown Identical Control Directions Based on A Novel Nussbaum-Type Function

Abstract: This note addresses the adaptive consensus problem of first-order and second-order linearly parameterized multi-agent systems with unknown identical control directions. First, we propose a new Nussbaum-type function based on which a key lemma is established. The lemma plays an important role in analyzing the consensus of the closed-loop multi-agent systems. Second, the Nussbaum-type function is used to design adaptive control laws for first-order and second-order linearly parameterized multi-agent systems so that each agent seeks for the unknown control direction adaptively and cooperatively. Then, under the assumption that the interconnection topology is undirected and connected, it is proved that the first-order and second-order multi-agent systems can achieve consensus by choosing proper design parameters. Two simulation examples are given to illustrate the effectiveness of the proposed control laws.

Modeling the dynamic linkage between financial development, energy innovation, and environmental quality: Does globalization matter?

Abstract: In the modern era of the wave of globalization, financial development is leading toward a higher rate of economic expansion and promoting energy innovation around the globe. Nevertheless, environmental impact of financial development has preoccupied government officials to circumvent adverse impact on environmental quality. Thus, this paper examines the nexus between financial development, economic growth, energy innovation, and environmental pollution for the period of 1990–2017 for the panel of Organization for Economic Cooperation and Development (OECD) countries. To obtain robust and unbiased results, this study utilizes Pooled Mean Group Autoregressive Distributed Lag (PMG/ARDL) estimator that counters the issue of heterogeneity and cross‐sectional dependence. Empirical evidence suggests that financial development promotes energy innovation and improves environmental quality. Globalization also has a long‐term relationship with energy innovation and reduces greenhouse gas (GHG) emissions. Moreover, findings validate the environmental Kuznets curve for OECD countries in the significance of financial development, globalization, and energy innovation.