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A comparative study between two relaxed LMI-based fuzzy control designs
(2005-09-01)
A comparative study, with theoretical analysis and digital simulations, of two conditions based on LMI for the quadratic stability of nonlinear continuous-time dynamic systems, described by Takagi-Sugeno fuzzy models, are ...
A comparative study between two relaxed LMI-based fuzzy control designs
(2005-09-01)
A comparative study, with theoretical analysis and digital simulations, of two conditions based on LMI for the quadratic stability of nonlinear continuous-time dynamic systems, described by Takagi-Sugeno fuzzy models, are ...
On switched control design of linear time-invariant systems with polytopic uncertainties
(2013-05-27)
This paper proposes a new switched control design method for some classes of linear time-invariant systems with polytopic uncertainties. This method uses a quadratic Lyapunov function to design the feedback controller gains ...
On switched control design of linear time-invariant systems with polytopic uncertainties
(2013-05-27)
This paper proposes a new switched control design method for some classes of linear time-invariant systems with polytopic uncertainties. This method uses a quadratic Lyapunov function to design the feedback controller gains ...
H ∞ state feedback control of discrete-time Markov jump linear systems through linear matrix inequalities
(2011-12-01)
This paper addresses the H ∞ state-feedback control design problem of discretetime Markov jump linear systems. First, under the assumption that the Markov parameter is measured, the main contribution is on the LMI ...
DYNAMIC OUTPUT FEEDBACK CONTROL OF DISCRETE-TIME MARKOV JUMP LINEAR SYSTEMS THROUGH LINEAR MATRIX INEQUALITIES
(Siam PublicationsPhiladelphiaEUA, 2009)
Optimal linear control to parametric uncertainties in a micro electro mechanical system
(2013-04-01)
This paper, a micro-electro-mechanical systems (MEMS) with parametric uncertainties is considered. The non-linear dynamics in MEMS system is demonstrated with a chaotic behavior. We present the linear optimal control ...