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The observer convergence is analyzed by using Lyapunov stability techniques.
The control laws are derived from a model based on a principle of vehicle conservation and Lyapunov stability techniques.
Evenly, recent advances have been performed in the development and applications of natural colorants covering different aspects such as identification of new sources, formulations, extraction, purification and stability techniques.
The novel stability method is compared to the existing methods, such as the techniques based on the end-point constraints (terminal constraint set), and the robust stability techniques based on the small gain theory.
The results presented here are an improvement over previous ones, for the analysis incorporates state-of-the-art stability techniques for systems with time-varying delays such as convex optimization technique, piecewise analysis method, and a new delay fractioning approach with the introduction of a novel auxiliary delayed state.
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The control variables are derived using Lyapunov's stability technique and are piecewise continuous.
Three phase simulations are then used to validated the impedance based stability technique.
The proposed method could further expand the application of the temporal stability technique in the estimation of SWS.
To deal with these uncertainties, we adopts global exponential stability technique of the state unmodeled dynamics with a Lyapunov description and the fuzzy approximation approach to those uncertain functions.
The adaptive tuning laws of network parameters are derived in the sense of quadratic stability technique and Lyapunov synthesis approach to ensure the network convergence and H∞ synchronization performance.
Based on the switched system theory, the Lyapunov stability technique and some stochastic system analysis, a sufficient condition is established under which the closed-loop system is exponentially stable in the mean-square sense and achieves a prescribed H∞ disturbance attenuation level.
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