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This paper investigates the identification of nonlinear systems by utilizing soft-computing approaches.
This paper focuses on the observer-based periodically intermittent control issue for linear systems by utilizing piecewise Lyapunov function method.
Multi-step synthesis can be carried out in biological systems by utilizing or engineering their metabolic networks for catalysis.
We addressed our research objective of assessing potential contributors to mineral weathering in field systems by utilizing in-soil mesh bags filled with unreacted basalt, granite, and quartz sand deployed in three climates for one year.
It is a new and emerging technology which has a strong potential towards the development of sustainable and renewable energy systems by utilizing waste heat or solar energy.
This paper provides an idea, how can we estimate the RAM parameters of these systems by utilizing available information and uncertain data.
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The numerical identification of linearized system by utilizing input output numerical data is highly versatile.
Therefore, this study develops an intelligent machine component prognostics system by utilizing only truncated histories.
Then, a new Lyapunov Krasovskii functional is constructed for a stochastic time-varying delay system by utilizing Legende polynomials.
Supplemental dissipative devices can be applied to increase the energy dissipation capacity of the coupled system by utilizing the relative displacements at the vertical wall-to-frame connections.
An adaptive controller is designed such that the response system can be synchronized with the drive system by utilizing Lyapunov stability theory.
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