2020 15th International Conference on Stability and Oscillations of Nonlinear Control Systems (Pyatnitskiy's Conference) (STAB) 2020
DOI: 10.1109/stab49150.2020.9140464
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On the Solvability of Linear Matrix Inequalities under Quadratic Constraints

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Cited by 2 publications
(2 citation statements)
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“…Here the gain value K will be designed arbitrarily because the above equation is said to be very basic in a linear system. We can use the eigenvalue setting method or the linear matrix inequality (LMI) method [23,24] to solve the control gain K.…”
Section: Grey Estimator-based Tracking Controlmentioning
confidence: 99%
“…Here the gain value K will be designed arbitrarily because the above equation is said to be very basic in a linear system. We can use the eigenvalue setting method or the linear matrix inequality (LMI) method [23,24] to solve the control gain K.…”
Section: Grey Estimator-based Tracking Controlmentioning
confidence: 99%
“…e following are stability requirements stated as a collection of solved LMI conditions, which are indicated as a pair of solvable LMI conditions (Stability criteria) [10]. e newer delay time-bound conditions of stability, which favor long-term characteristics, mostly depend on the kind of LK function employed in the study; they avoid the restrictive commutative condition and choose a Lyapunov function of a more general form, and a new design algorithm, which takes into account the relation between the feedback control gains and the observer and improved EID estimator gains, is developed for the nonlinear system and clear relation between the developed estimator and the GESO is also clarified [11].…”
Section: Introductionmentioning
confidence: 99%