Unmeasured temperature control in the presence of unknown drifting parameters in a cruise ship application

Nguyen, Philipp; Tenno, Robert

doi:10.1016/j.jprocont.2016.09.002

Cited by 2 publications

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…And most industrial plants, involving material (or energy) transportation and mechanical actuated servo, are characterized by time delay and unknown dead zone [1]. Stabilization of the stochastic nonlinear system with time delay and unknown dead zone has attracted considerable attention, due to its theoretical difficulties and important applications, e.g., mechanical servo motor, hearth negative pressure system, and the fresh water cooling system on ships [2].…”

Section: Introductionmentioning

confidence: 99%

Robust neural output-feedback stabilization for stochastic nonlinear process with time-varying delay and unknown dead zone

Deng

Zhang

Sun

2017

Sci. China Inf. Sci.

View full text Add to dashboard Cite

This article investigates the output-feedback control of a class of stochastic nonlinear system with time-varying delay and unknown dead zone. A robust neural stabilizing algorithm is proposed by using the circle criterion, the NNs approximation and the MLP (minimum learning parameter) technique. In the scheme, the nonlinear observer is first designed to estimate the unmeasurable states and the assumption "linear growth" of the nonlinear function is released. Furthermore, the uncertainty of the whole system (including the perturbation of time-varying delay) is lumped and compensated by employing one RBF NNs (radial basis function neural networks). Though, only two weight-norm related parameters are required to be updated online for the merit of the MLP technique. And the gain-inversion related adaptive law is targetly designed to mitigate the adverse effect of unknown dead zone. Comparing with the previous work, the proposed algorithm obtains the advantage: a concise form and easy to implementation due to its less computational burden. The theoretical analysis and comparison example demonstrate the substantial effectiveness of the proposed scheme.

show abstract

Section: Introductionmentioning

confidence: 99%

Robust neural output-feedback stabilization for stochastic nonlinear process with time-varying delay and unknown dead zone

Deng

Zhang

Sun

2017

Sci. China Inf. Sci.

View full text Add to dashboard Cite

show abstract

Assessing sustainable consumption practices on cruise ships

Tsai

Bui

2020

MABR

View full text Add to dashboard Cite

Purpose This study aims to examine a hierarchical framework for sustainable consumption (SC) for cruise ships and identify the causal relationships and decisive attributes of cruise ship operation practices that allow cruise organizations to achieve a higher level of sustainable performance. Design/methodology/approach This study applies a hybrid of the Delphi method and a fuzzy decision-making trial and evaluation laboratory (DEMATEL). DEMATEL methodology helps to construct complex causal relations through digraphs, which depict interrelationships among attributes. The fuzzy set theory assesses experts’ perceptions of attributes given in linguistic preferences. The Delphi method has been previously used to validate attributes and determine the validity and reliability of the construct from qualitative information. Findings A set of three aspects containing 21 criteria were defined based on previous literature and expert consultations. The analysis results show that waste minimization and recycling and recovery are causal aspects that influence efficient resource use. Emission controls on ships, cruise ship alternative energy sources, ballast water treatment systems, water purification systems and nanofiltration systems are also prominent criteria for the improvement of SC during cruise ship operation. Originality/value This study contributes to the literature by offering a hierarchical framework for SC literature and confirming the role of this issue in improving the cruise industry sustainability. In practice, as such results provide key attributes for successful performance, the implications are offered for companies developing new activities, either in ensuring compliance with business goals or in decreasing the environmental impact.

show abstract

Unmeasured temperature control in the presence of unknown drifting parameters in a cruise ship application

Cited by 2 publications

References 6 publications

Robust neural output-feedback stabilization for stochastic nonlinear process with time-varying delay and unknown dead zone

Robust neural output-feedback stabilization for stochastic nonlinear process with time-varying delay and unknown dead zone

Assessing sustainable consumption practices on cruise ships

Contact Info

Product

Resources

About