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This paper is concerned with non-fragile robust H_∞ control problems for nonlinear networked control systems (NCSs) with time-varying delay and unknown actuator failures. The paper aims to discuss these issues.

The system parameters are allowed to have time-varying uncertainties and the actuator faults are unknown but whose upper and lower bounds are known. By using some lemmas, uncertainties can be replaces with the known values. By taking the exogenous disturbance and network transmission delay into consideration, a delay nonlinear system model is constructed.

Based on Lyapunov stability theory, linear matrix inequalities (LMIs) and free weighting matrix methods, the sufficient conditions for the existence of the non-fragile robust H_∞ controller gain are derived and which can obtained by solving the LMIs. Finally, a numerical example is provided to illustrate the effectiveness of the proposed methods.

The introduced approach is interesting for NCSs with time-varying delay and unknown actuator failures.

The purpose of this paper is with robust control problem for event-triggered networked control systems (NCSs) with actuator failures and time-varying transmission delays.

A random sequence is introduced to describe the actuator faults, and a novel event-triggering communication scheme is adopted in the sensor-to-controller channel. By taking the event-triggered mechanism and network transmission delay into consideration, a delay system model is constructed.

Based on Lyapunov stability theory and free weighting matrix method, the feasibility criteria for co-designing both the controller gain and the trigger parameters are derived. Finally, a simulation example is exploited to demonstrate the effectiveness of the proposed linear matrix inequalities (LMIs) approach.

The introduced approach is interesting for NCSs with actuator failures and time-varying transmission delays.

The geological conditions of Longyang Reservoir are complex and it is located in strong earthquake area. In order to determine its seismic characteristics, the seismic response and residual deformation of embankment dam should be studied to provide calculation basis for dam design and construction.

Based on the geological survey data of Longyang Reservoir, the dam filling materials are tested by dynamic deformation tests, and the equivalent linear constitutive model parameters of the filling materials are obtained. Based on Duncan-Chang E-B model, the stress state of embankment dam in Longyang Reservoir before earthquake is calculated, and the dynamic response and earthquake residual deformation of embankment dam in Longyang Reservoir under earthquake condition are calculated by using equivalent linear model and Shen Zhu-jiang’s residual deformation model.

The results show that with the increase of dynamic shear strain, the dynamic shear modulus decreases and the damping ratio increases. The scatter plot between dynamic shear modulus and dynamic shear strain, and the scatter plot between damping ratio and dynamic shear strain under different confining pressures show strips. The calculation results shows that the acceleration of embankment dam in Longyang Reservoir increases with the increase of dam height, and the acceleration distribution has obvious amplification effect. Combined with the maximum dynamic shear strain during the earthquake and the state before the earthquake, the maximum vertical residual deformation of embankment dam in Longyang Reservoir is 2.98 cm which occurs at the top of the dam, calculated by the Shen Zhu-jiang’s residual deformation model.

Finite element calculation model parameters of embankment dam are obtained by dynamic triaxial tests. Seismic dynamic responses and residual deformation of embankment dam are analyzed. With the increase of dam height, the acceleration distribution shows an obvious amplification effect. The vertical displacement of embankment dam is larger along the dam axis and decreases in the upstream and downstream direction. The maximum horizontal displacement of embankment dam occurs in the middle of upstream and downstream dam slopes.

• (1)

  Finite element calculation model parameters of embankment dam are obtained by dynamic triaxial tests.

• (2)

  Seismic dynamic responses and residual deformation of embankment dam are analyzed.

• (3)

  With the increase of dam height, the acceleration distribution shows an obvious amplification effect.

• (4)

  The vertical displacement of embankment dam is larger along the dam axis and decreases in the upstream and downstream direction.

• (5)

  The maximum horizontal displacement of embankment dam occurs in the middle of upstream and downstream dam slopes.

Finite element calculation model parameters of embankment dam are obtained by dynamic triaxial tests.

Seismic dynamic responses and residual deformation of embankment dam are analyzed.

With the increase of dam height, the acceleration distribution shows an obvious amplification effect.

The vertical displacement of embankment dam is larger along the dam axis and decreases in the upstream and downstream direction.

The maximum horizontal displacement of embankment dam occurs in the middle of upstream and downstream dam slopes.

With the proliferation of virtual reality (VR) applications in electronic commerce, investigations on the effects of VR on consumer responses are important. The purpose of this paper is to examine the effects of online presentation modes (i.e. situational VR, pure VR and picture) on consumer responses for three product types (i.e. geometric, material and mechanical).

This study conducted a 3×3 between-subjects experiment to validate the research model and hypotheses.

The results revealed that both the situational VR mode and the pure VR mode had a greater impact on product knowledge and purchase intention than the picture mode. The situational VR mode yielded a higher level of product knowledge and purchase intention than the pure VR mode although it was not statistically significant. Furthermore, the pattern of VR modes superiority was found to be consistent across geometric, material and mechanical product types.

This research study contributes to the VR literature by investigating a new type of VR: situational VR, and offering a more comprehensive picture of consumer responses to online product presentations. The authors then drew the implications from the findings to suggest guidelines for practitioners to efficiently allocate resources and maximize the effectiveness of online presentation modes.

The purpose of this study is to investigate the inhibition efficiency and mechanism of a specific carboxylate corrosion inhibitor which consists of benzoic acid and dimethylethanolamine on steel surface.

The performance of carbon steel influenced by this organic inhibitor under different concentration of Cl⁻ and immersion time was studied by linear polarization resistance and electrochemical impedance spectroscopy in a simulated concrete pore (SCP) solution. The surface morphology and composition of steel was also analyzed by optical microscopy, SEM and EDS to investigate the effect of inhibitor on the pattern of the steel surface after long-term immersion.

Carboxylate of benzoic acid and dimethylethanolamine can increase the chloride threshold level and decrease the corrosion area of carbon steel in SCP solution with 0.6 mol/L Cl⁻ even after 120 days exposure. The inhibition mechanism of inhibitor lies in quick adsorption and buffering effect at initial time then formed deposited layer on steel surface after long-term immersion in chloride-rich environment.

It demonstrated that the carboxylate corrosion inhibitor not only can improve the chloride threshold level for carbon steel but also effectively decrease the corrosion rate even in chloride-rich SCP solution after long-term immersion, which is different form the conventional amino alcohol.

Flexible automation robotic systems and off‐line programming methods have recently received much attention. Studies the problem of robot auto‐marking and auto‐cutting of shipbuilding panels, using an integrated computer aided design/manufacturing (CAD/CAM) system based on computer technology and off‐line programming of the robot. The following three points are focused on in this paper: marking and cutting information of the panel’s CAD model; measurement of the panel’s deformation and its compensation algorithm; robot auto‐making and auto‐cutting of the panel using the CAM system. Robot auto‐marking and auto‐cutting of shipbuilding panels solves the difficulty associated with panel marking and cutting by hand. Furthermore this system possesses high processing precision and automatically compensates for the deformation of the panel. Our experiments prove the feasibility and efficiency of this system at the end of this paper.

Despite servitization being widely regarded as an essential catalyst to improve manufacturing firms' survival and competitiveness, how to attain servitization remains debatable. The primary objective of this research is to explore whether or not, how, and when the dynamic capabilities affect servitization in the digital economy background. This research investigates the relationships between servitization and dynamic capabilities by incorporating firm ownership, firm lifecycle stage, digital economy level and environmental uncertainty as contingency factors in the research framework.

This research develops and verifies a conceptual framework for manufacturing servitization by employing the fuzzy-set qualitative comparative analysis (fsQCA) in analyzing the secondary longitudinal data from 148 China-listed manufacturing firms involved in servitization from 2015 to 2020.

The analytical results of fsQCA identify several configurational solutions for the success of manufacturing servitization. Each factor can be an enabler for servitization success despite none of the factors discovered as an absolute condition. Manufacturing servitization success within the digital economy depends on the interactions between dynamic capabilities and contingency factors such as digital economy level, environmental uncertainty, firm ownership, and lifecycle stage.

All of the construct's measurements in this research adopt secondary data, and further investigation calls for primary data (e.g. survey) for higher validity.

This research extends the current view of servitization by proposing an integrative conceptual framework, allowing manufacturing servitization to be examined more pertinently and comprehensively. Second, the research is an initial attempt that adopts fsQCA in servitization studies. The study sheds light on the mechanisms of attaining servitization by revealing the importance of dynamic capabilities and their interactions with the contingency factors. Third, the research extends the application scopes of dynamic capability theory, firm lifecycle theory, contingency theory, and institutional theory. Fourth, the research findings enrich the understanding of servitization in the digital economy and give business practitioners insights on leveraging dynamic capabilities in different conditions to attain successful servitization under the current circumstances.

Engineering components/structures with geometric discontinuities normally bear complex and variable loads, which lead to a multiaxial and random/variable amplitude stress/strain state. Hence, this study aims how to effectively evaluate the multiaxial random/variable amplitude fatigue life.

Recent studies on critical plane method under multiaxial random/variable amplitude loading are reviewed, and the computational framework is clearly presented in this paper.

Some basic concepts and latest achievements in multiaxial random/variable amplitude fatigue analysis are introduced. This review summarizes the research status of four main aspects of multiaxial fatigue under random/variable amplitude loadings, namely multiaxial fatigue criterion, method for critical plane determination, cycle counting method and damage accumulation criterion. Particularly, the latest achievements of multiaxial random/variable amplitude fatigue using critical plane methods are classified and highlighted.

This review attempts to provide references for further research on multiaxial random/variable amplitude fatigue and to promote the development of multiaxial fatigue from experimental research to practical engineering application.

The purpose of this paper is to investigate how different forms of interpersonal conflicts and employees’ psychological empowerment may affect knowledge sharing intentions directly or indirectly via interpersonal trust in the workplace.

Survey data collected from 249 employees of 37 of the top 500 corporations in the manufacturing industry in Taiwan were used for the data analysis. The research model was analyzed using the component-based structural equation modeling technique, namely, the partial least squares (PLS) approach.

The results indicate that both relationship and task conflicts have significant indirect effects on employees’ knowledge sharing intentions via psychological empowerment and trust. Additionally, psychological empowerment significantly influences employees’ knowledge sharing intentions both directly and indirectly via trust.

The primary theoretical implication is an advancement in the understanding of the critical antecedents of and their different effects on employees’ knowledge sharing intentions from the perspectives of conflict management and individual psychological empowerment. Future research may concentrate on investigating the bidirectional interactions among trust, relationship conflicts and task conflicts in different knowledge-sharing contexts.

This study provides practical insights into conflict resolution intended to facilitate psychological empowerment and interpersonal trust that encourage knowledge sharing in the workplace.

To the best of the authors’ knowledge, this study is the first knowledge sharing study that empirically examines how task and relationship conflicts affect employees’ knowledge sharing intentions differently via the mediation of their perceived psychological empowerment and interpersonal trust in one another in the workplace.

Drawing on the transactional theory of stress and coping, this paper aims to identify the relationship between workplace ostracism and job productivity by analyzing the mediating role of emotional exhaustion and lack of motivation.

We collected data from a sample of 396 employees from 20 manufacturing companies in Jordan using a survey-based, two-tiered approach. The partial least squares structural equation modeling method was used to test the direct and indirect effects of ostracism on productivity.

The findings show that workplace ostracism increases emotional exhaustion and motivation, and indirectly decreases job productivity through the mediating role of emotional exhaustion and lack of motivation.

The study provides a theoretical foundation on which various companies can base their understanding of workplace ostracism and its relationship to job productivity. By focusing on increased exhaustion and lack of motivation, this study analyzes current literature to establish the impacts on areas of interest and identify expectations in the context of productivity, as well as enhance comprehension of the detrimental effects of workplace ostracism on productivity.