A software package for studying discrete time Neural Networks dynamics is presented as an eecient analysis tool having also capabilities for designing special purposes cellular neural networks (CNN's) such as period controlled oscillators , noise generators and chaotic based systems. Based on an information theory approach, an entropy associated with a given structure of the network was deened ...

This paper investigates the problem of observer design for simultaneous states and faults estimation a class discrete-time descriptor linear models in presence actuator sensor faults. The idea present result is based on second equivalent form implicit model [1] which permits to separate differential algebraic equations considered singular model, use an explicit augmented structure. At that stag...

Robust stability and the guaranteed cost control problem are considered for discrete-time systems with time-varying delays from given intervals. A new construction of Lyapunov– Krasovskii functionals (LKFs), which has been recently introduced in the continuous-time case, is applied. To a nominal LKF, which is appropriate to the system with nominal delays, terms are added that correspond to the ...

This paper examines the fault-tolerant control problem for discrete-time descriptor systems that are susceptible to intermittent actuator failures, nonlinear sensor data, and probability-based missing data. The non-homogeneous Markov chain was adopted describe stochastic behavior of faults. Moreover, Bernoulli-distributed variables with known conditional probabilities were employed practical fe...

This paper deals with state estimation problem for linear systems with state equality constraints. Using noisy measurements which are available from the observable system, we construct the optimal estimate which also satisfies linear equality constraints. For this purpose, after reviewing modeling problems in linear stochastic systems with state equality constraints, we formulate a projected sy...

We consider the stabilization problem for large-scale linear descriptor systems in continuousand discrete-time. We suggest a partial stabilization algorithm which preserves stable poles of the system while the unstable ones are moved to the left half plane using state feedback. Our algorithm involves the matrix pencil disk function method to separate the finite from the infinite generalized eig...

Remote protein homology detection is an important step towards understanding protein function in living organisms. The problem is notoriously difficult; distant homologs can often be detected only by a combination of sequence and structural features. We propose a new framework, where important sequence and structural features are described by the user in the form of a descriptor, and the descri...

this paper presents a discrete-time single-server finite buffer n threshold policy queue with renewal input and discretemarkovian service process. the server terminates service whenever the system becomes empty, and recommencesservice as soon as the number of waiting customers in the queue is n. we obtain the system-length distributionsat pre-arrival and arbitrary epochs using the supplementary...