A novel dynamic output feedback controller is constructed by stabilizing controller gains and adaptive control gain functions.
This paper deals with the stability analysis and fuzzy stabilizing controller design for fuzzy singular systems with time-varying delay.
Two numerical examples show that our results are effective for checking the robust asymptotical stability and designing the stabilizing controller for FO-LTI interval systems.
Extending quadratic stability theory derives a novel stabilizing controller for such systems.
The proposed theory is applied to the robust stabilizing controller design for the excitation control of power systems.
Routh–Hurwitz stability criterion is used to design the stabilizing controller of the primary loop.
We design a stabilizing controller and show that the system stability is determined by the types of nonlinear functions.
The energy based stabilizing controller part is derived by the method of Controlled Lagrangians.
The stabilizing controller design is based on sufficient robust stability conditions formulated as a solution of bilinear matrix inequality.
For stability analysis, it is assumed that an exponentially stabilizing controller is already designed in continuous-time and is implemented as a discrete-time controller.
The corresponding stabilizing controller design techniques are also given based upon the stability conditions.
