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» On Singular Interval Systems
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SCL
2008
130views more  SCL 2008»
15 years 3 months ago
Exponential stability of impulsive systems with application to uncertain sampled-data systems
We establish exponential stability of nonlinear time-varying impulsive systems by employing Lyapunov functions with discontinuity at the impulse times. Our stability conditions ha...
Payam Naghshtabrizi, João P. Hespanha, Andr...
RTCSA
2000
IEEE
15 years 8 months ago
Extensions to optimistic concurrency control with time intervals
Although an optimistic approach has been shown to be better suited than locking protocols for real-time database systems (RTDBS), it has the problems of unnecessary restarts and h...
Jan Lindström
CONCUR
2008
Springer
15 years 5 months ago
Abstraction for Stochastic Systems by Erlang's Method of Stages
ion for Stochastic Systems by Erlang's Method of Stages Joost-Pieter Katoen1 , Daniel Klink1 , Martin Leucker2 , and Verena Wolf3 1 RWTH Aachen University 2 TU Munich 3 EPF La...
Joost-Pieter Katoen, Daniel Klink, Martin Leucker,...
EUSFLAT
2009
245views Fuzzy Logic» more  EUSFLAT 2009»
15 years 1 months ago
Universal Approximation of a Class of Interval Type-2 Fuzzy Neural Networks Illustrated with the Case of Non-linear Identificati
Neural Networks (NN), Type-1 Fuzzy Logic Systems (T1FLS) and Interval Type-2 Fuzzy Logic Systems (IT2FLS) are universal approximators, they can approximate any non-linear function....
Juan R. Castro, Oscar Castillo, Patricia Melin, An...
RTCSA
2005
IEEE
15 years 9 months ago
Approximation Algorithms for Scheduling Multiple Feasible Interval Jobs
Abstract— Time-critical jobs in many real-time applications have multiple feasible intervals. Such a job is constrained to execute from start to completion in one of its feasible...
Jian-Jia Chen, Jun Wu, Chi-Sheng Shih, Tei-Wei Kuo