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First, we identify controller structure by incorporating regularization functions into the optimal control problem and, second, we optimize the controller over the identified structure.
The LMI-based solvability conditions for the multiobjective ℋ∞ control problem and a design procedure for the controller are given.
A Buck Boost converter is used as case study to illustrate the difficulties associated to the control problem and the advantages of the proposed controller.
Conditions for the solvability of the robust H∞ control problem and design of both switching law and controllers are presented.
Further, the ETU method is applied for switching-delay tolerant control problem, and a class of time-scheduled state feedback controllers are designed to achieve the exponentially stability.
A design method of multivariable PID controllers that satisfy the performance index of the standard H∞ control problem and linear constraints on the control structure is proposed.
Using both simulation and experimental results, we demonstrate under what operating conditions friction dynamics are vital to the control problem and, for these conditions, demonstrate the efficacy of the proposed controller.
This setup especially includes the H∞ control problem and the design for strict passivity.
We discuss the admission control problem and pricing control problem in an identical framework.
The proposed algorithms were verified on practical control problem and have proved a good performance.
The LMI optimization approach is applied to solve the H∞ control problem and find the minimization of H∞ norm bound.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com