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Robust filtering of discrete-time linear systems with parameter dependent Lyapunov functions
(Siam PublicationsPhiladelphiaEUA, 2002)
Principal part of multi-parameter displacement functions
(Elsevier, 2015)
Principal part of multi-parameter displacement functions
(Elsevier, 2015)
Optimization of the weights and asymmetric activation function family of neural network for time series forecasting
(2013)
The use of neural network models for time series forecasting has been motivated by experimental results that indicate high capacity for function approximation with good accuracy. Generally, these models use activation ...
State feedback gain scheduling for linear systems with time-varying parameters
(Asme-amer Soc Mechanical EngNew YorkEUA, 2006)
Convergent LMI relaxations for robust analysis of uncertain linear systems using lifted polynomial parameter-dependent Lyapunov functions
(Elsevier Science BvAmsterdamHolanda, 2008)
A BMI approach for H-infinity gain scheduling of discrete time-varying systems
(Wiley-blackwellMaldenEUA, 2010)
An LMI condition for the robust stability of uncertain continuous-time linear systems
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2002)
Measure functional differential equations and functional dynamic equations on time scales
(ACADEMIC PRESS INC ELSEVIER SCIENCESAN DIEGO, 2012)
We study measure functional differential equations and clarify their relation to generalized ordinary differential equations. We show that functional dynamic equations on time scales represent a special case of measure ...