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» On Singular Interval Systems
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SCL
2008
130views more  SCL 2008»
15 years 5 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 10 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 7 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 3 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 11 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