Switched state feedback for uncertain continuous-time systems with interval delays

2010 ◽  
Vol 21 (9) ◽  
pp. 1046-1056 ◽  
Author(s):  
Magdi S. Mahmoud ◽  
Yuanqing Xia
Keyword(s):  
Continuous Time ◽  
State Feedback ◽  
Continuous Time Systems ◽  
Switched State Feedback ◽  
Time Systems

Stability analysis and gain-scheduled state feedback control for continuous-time systems with bounded parameter variations

2009 ◽  
Vol 82 (6) ◽  
pp. 1045-1059 ◽  
Author(s):  
Vinícius F. Montagner ◽  
Ricardo C.L.F. Oliveira ◽  
Pedro L.D. Peres ◽  
Pierre-Alexandre Bliman
Keyword(s):  
Stability Analysis ◽  
Feedback Control ◽  
Continuous Time ◽  
State Feedback ◽  
State Feedback Control ◽  
Continuous Time Systems ◽  
Parameter Variations ◽  
Time Systems ◽  
Gain Scheduled

Detection of actuator faults for continuous-time systems with intermittent state feedback

2021 ◽  
Vol 152 ◽  
pp. 104938
Author(s):  
Filippos Fotiadis ◽  
Kyriakos G. Vamvoudakis
Keyword(s):  
Continuous Time ◽  
State Feedback ◽  
Actuator Faults ◽  
Continuous Time Systems ◽  
Time Systems

scholarly journals Delay-Dependent Fuzzy Hyperbolic Model Based on Data-Driven Guaranteed Cost Control for a Class of Nonlinear Continuous-Time Systems with Uncertainties

2012 ◽  
Vol 2012 ◽  
pp. 1-17 ◽  
Author(s):  
Gang Wang ◽  
Dongsheng Yang ◽  
Qingqi Zhao
Keyword(s):  
Continuous Time ◽  
State Feedback ◽  
Data Driven ◽  
Hyperbolic Model ◽  
Time Varying ◽  
Parameter Uncertainties ◽  
Model Based ◽  
Continuous Time Systems ◽  
Guaranteed Cost ◽  
Time Systems

This paper develops the fuzzy hyperbolic model with time-varying delays guaranteed cost controller design via state-feedback for a class of nonlinear continuous-time systems with parameter uncertainties. A nonlinear quadratic cost function is developed as a performance measurement of the closed-loop fuzzy system based on fuzzy hyperbolic model with time-varying delays. Some sufficient conditions for the existence of such a fuzzy hyperbolic model based on data-driven guaranteed cost controller via state feedback are presented by a set of linear matrix inequalities (LMIs). A simulation example is provided to illustrate the effectiveness of the proposed approach.

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