This paper investigates the problem of decentralized model reference adaptive control (MRAC) for a class of large scale systems with time varying delays in interconnected terms and state and input delays. The upper bounds of the interconnection terms are considered to be unknown. Time varying delays in the nonlinear interconnection terms are bounded and nonnegative continuous functions and thei...

Background and Purpose. The purpose of this study was to compare the Gross Motor Function Measure (GMFM) and the Peabody Developmental Gross Motor Scale (PDMSGM) as measures of change in infants with cerebral palsy (CP) and infants with motor delays. We hypothesized that mean change scores would be greater for the GMFM than for the PDMSGM. Subjects and Methods. Subjects were 42 infants with a m...

Asynchronous-parallel algorithms have the potential to vastly speed up algorithms by eliminating costly synchronization. However, our understanding of these algorithms is limited because the current convergence of asynchronous (block) coordinate descent algorithms are based on somewhat unrealistic assumptions. In particular, the age of the shared optimization variables being used to update a bl...

A timed extension to DILL (DIgital Logic in LOTOS) is discussed. The extension is based on ETLOTOS (Enhanced Timed LOTOS) and is used to specify timed digital logic. The approach places timing properties in two categories: timing constraints and delays. A parallel-serial model is used to form a timed specification by composing the functionality of a digital component with timing constraints and...

The four-component gravitational lens CLASS B1608+656 has been monitored with the VLA for two seasons in order to search for time delays between the components. These time delays can be combined with mass models of the lens system to yield a measurement of H0. The component light curves show significantly different behavior in the two observing seasons. In the first season the light curves have...

In this brief, robust adaptive control of unknown modified Cohen–Grossberg neural networks with time delays is considered based on nonsmooth analysis and matrix inequality technique. Several new controllers are designed to ensure the global asymptotical stability of the targeted equilibrium point. The designed controllers are independent of the bounds of the perturbations, system functions and ...

Stability, L2-gain analysis and state-feedback H∞ control of linear systems with uncertain time-varying delays are considered in the case, where the nominal values of delays are constant and non-zero. A new construction of Lyapunov–Krasovskii functionals (LKFs) is introduced: to a nominal LKF, which is appropriate to the system with nominal delays, terms are added that correspond to the perturb...

This paper presents the computational analysis of the Steiner tree problem on the Server-Client model of computation. In particular, this work analyzes the time delays among server and clients for the parallel Steiner tree algorithm and examines some consequences of time delays on the execution time by considering constant and variable delays. The paper also calculates the expression for the op...

This paper deals with an impulsive stochastic fuzzy cellular neural networks with both time-varying and infinite distributed delays. Based on M-matrix theory and stochastic analysis technique, a sufficient condition is obtained to ensure the existence, uniqueness, and global exponential p−stability of the equilibrium point for the addressed impulsive stochastic fuzzy cellular neural network wit...

The average consensus in undirected networks of multi-agent with both fixed and switching topology coupling multiple time-varying delays is studied. By using orthogonal transformation techniques, the original system can be turned into a reduced dimensional system and then LMI-based method can be applied conveniently. Convergence analysis is conducted by constructing Lyapunov-Krasovskii function...