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The constraint equations and useful properties of the desired mechanism are derived by using the concept of cross-ratio.
This control structure is derived by using the state space model of the overall ORC system.
The model is partly derived by using the so-called maximizing a posteriori (MAP) estimation method.
The algorithm is derived by using the Fourier and zero crossing techniques.
The optimality conditions for this adaptive controller are derived by using the discrete minimum principle.
The controllers are derived by using the linear matrix inequality approach.
Firstly, an accurate numerical model is derived by using the finite element method.
First, a stress transfer method is derived by using the concept of state space equation.
The design of the adaptive online learning algorithms is derived by using the Lyapunov stability theorem.
The conditions for conjugate envelope of hypotrochoidal rotor were derived by using the differential geometric approach.
Finally, the estimator is derived by using the standard Markov jump filter theories.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com