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This paper considers the problem of adaptive fuzzy output-feedback tracking control for a class of switched stochastic nonlinear systems in pure-feedback form. Unknown nonlinear functions and unmeasurable states are taken into account. Fuzzy logic systems are used to approximate the unknown nonlinear functions, and a fuzzy observer is designed to estimate the immeasurable states.Based on these methods, an adaptive fuzzy output-feedback control scheme is developed by combining the backstepping recursive design technique and the common Lyapunov function approach. It is shown that all the signals in the closed-loop system are semiglobally uniformly ultimately bounded in mean square in the sense of probability, and the observer errors and tracking errors can be regulated to a small neighborhood of the origin by choosing appropriate parameters. Finally, a simulation result is provided to show the effectiveness of the proposed control method. KEYWORDS adaptive fuzzy control, backstepping, pure-feedback form, state observer, switched stochastic systems Int J Adapt Control Signal Process. 2019;33:1567-1582.wileyonlinelibrary.com/journal/acs

Purpose The purpose of this paper is to understand the role of multichannel integration quality in enhancing online perceived value and online purchase intention via the online store operated by a land-based retailer. Design/methodology/approach This paper develops a research model based on the “quality-value-purchase” chain, with four dimensions of multichannel integration quality as antecedents and three dimensions of online perceived value as mediators of online purchase intention. Empirical data were collected from 390 multichannel shoppers and structured equation modeling was used to test the research hypotheses. Findings Among the four multichannel integration quality dimensions, transparency of service configuration, process consistency and business ties positively affect online purchase intention through online perceived value, whereas the effects of information consistency are not significant; process consistency exerts a stronger influence on online perceived value than business ties; the effect of online convenience on online purchase intention is weaker than that of online monetary savings and online hedonic value. Research limitations/implications The study identifies the theoretical principles of the relationships among multichannel integration quality, online perceived value and online perceived value in multichannel context. Based on these theoretical principles, this study will help researchers to better understand consumers’ online purchase intention and the creation of online perceived value in the integrated multichannel context. Practical implications The findings of this study can provide retailers with useful strategies to increase online purchase intention depending on improvement of multichannel integration quality and online perceived value. Originality/value This study provides a first study to empirically assess various types of online perceived value attached to multidimensional properties of multichannel integration quality and the corresponding effects on online purchase intention. Overall, the results offer insights of how land-based retailers could manage their online performance by integrating multiple channels and improving online perceived value.

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Purpose The purpose of this paper is to answer “Why do Chinese consumers use IOT systems?” and “Do consumers’ cognitive and affect experiences moderate the relationship between psychological perception factors and perceived usefulness?” Design/methodology/approach In-depth interview with consumers and experts had been conducted and then the perceived psychological factors that influence perceived usefulness had been summarized. Based on a survey test of 337 smart home users, this study applies partial least squares technique analysis to test the research model. Findings The research results show that perceived psychological factors (perceived ease of use, perceived intelligence, perceived convenience and perceived privacy risk) have significant effect on the intention and behavior of IOT systems usage through perceived usefulness. Cognitive experience moderates the relationship between perceived ease of use and perceived usefulness, perceived privacy risk and perceived usefulness; affect experience moderates the relationship between perceived ease of use and perceived usefulness. Research limitations/implications The current study mainly tested the antecedents of consumers’ usage of IOT systems, and the outcome of using the system was not investigated. Future research can examine the outcome (e.g. satisfaction, perceived value) by using the expectation-confirmation theory. Originality/value This study provides a useful insight into the key driving factors in consumers’ intention and behavior of using IOT systems. The previous studies over IOT systems have not observed consumers’ perception of IOT systems, but in fact IOT systems are being applied to more and more personal users.

This paper investigates the adaptive finite-time tracking control problem for a class of switched nonlinear systems with unmodeled dynamics. In practical applications, switched systems usually possess unfavourable factors, such as unmeasured states and unmodeled dynamics both of which are taken into account in this paper. A dynamic signal defined with a special property is introduced in this paper to improve control performance while garanteeing stability of the controlled system. By designing an observer, a finite-time adaptive output-feedback tracking controller is constructed via the backstepping technique. Then, the finite-time stability problem of the considered systems is studied. It is shown that all the signals in the closed-loop system are semi-globally uniformly finite-time bounded (SGFUB), and the observer errors and tracking errors can be regulated to a small neighborhood of the origin by choosing appropriate parameters. It is noted that, the design process is less complex than some existing results on tackling control problems of nonlinear systems with unmodeled dynamics. In the example, the simulation result testifies the effectiveness of the proposed method.