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The effective sulfurization parameters were designed based on the thermodynamic properties of the precursor obtained via the reverse coprecipitation way.
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Controllers and update laws of parameters are designed based on Lyapunov stability theory.
These tuning parameters are designed based on the averaged model of this aPESC scheme.
The circuit operations are analyzed in detail and the circuit parameters are designed based on the practical considerations.
The observer parameters are designed based on the relay feedback systems such that the high gain property is provided for the slow-mode operation.
The position mechanism and its parameters are designed based on kinematic analysis of two cable-driven linkage structures and kinematic conditioning index.
Considering that the lag effect between network node and chaos signal of target system, the control input of the network and the identification law of adjustment parameters are designed based on Lyapunov theorem.
However, IEEE 802.15.6 will harvest the optimal performance only when appropriate handle mechanism and network parameters are designed based on the specific application scenario.
Considering the lag effect between a network node and a chaos signal of the target system, the control input of the network and the identification law of adjustment parameters are designed based on the Lyapunov theorem.
The heuristics to define such parameters have been designed based on the results of a benchmark.
As the parameters of the two systems are uncertain, the nonlinear controller and parameter update algorithms are designed based on the fractional stability theory and adaptive control method.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com