[PDF] Top 20 Coordination for Networks of Dynamic Agents with Time Varying Delays

... systems, agents are usually coupled and interconnected with some simple rules including a proposed first-order/two-order dynamical model and nearest-neighbor ...communication delays, and directed or ... See full document

... Recently, more and more researchers have paid a great deal of attention on distributed coordinated control of networks of dynamic agents within the control com- munity. Especially the consensus ... See full document

... with time-varying delays since such systems have been successfully applied into various signal processing problems such as optimization, image processing, associative memory and many other fields, ... See full document

... dynamical networks composed of multiinput multioutput pendulum- like systems via linear interconnections are ...complex networks. The global synchronization of the dynamical complex networks composed ... See full document

... neural networks model established by replacing a resistor with a memristor has attracted more and more attention, and various dynamical behaviors of this model have been investigated, see [19– 27] and the ... See full document

... satisfied. The equilibrium point 0, 0 T of system 4.1 cannot be exponentially stabilized by impulses, which is shown in Figures 1c and 1f. However, one may observe that every solution of system 4.1 becomes a ... See full document

... neural networks have attracted consider- able attention in various fields of science and engineering applications such as signal processing, pattern recognition, static image processing, associative memory, and ... See full document

... then Eq. (9) becomes periodic system. Obviously, the right hand side of Eq. (9) is 1-periodic. Numeric results show that Eq. (9) has a 1-periodic solution. Figs.5- Figs.8 show the dynamic behavior of the Eq. (9) ... See full document

... In recent years, many researchers pay much attention to dynamical behavior and application of fuzzy neural network (see [27], [28]). In this paper, we would like to integrate fuzzy operations into cellular neural ... See full document

... neural networks with time delay has studied in [10], [19], [24], ...dynamical networks with sampled-data control have been studied in [17], ...neural networks analysis with mixed H ∞ and ... See full document

... neural networks have been applied successfully in different fields, such as static processing, pattern recognition, combinatorial optimization, and so on ...that time delay is inevitable in practical neural ... See full document

... neural networks have attracted broad attention in numer- ous scientific fields due to their potential application prospect in psychophysics, speech, perception, robotics, pattern recognition, signal and image ... See full document

... settling time heavily depends on the initial con- ditions, which may lead to different convergence times under different initial ...dynamical networks was addressed in [21]. Robust fixed-time syn- ... See full document

... of time delay, namely, leakage delay (or forgetting delay), is identified and investigated due to its existence in many real systems such as neural networks, population dynamics and some fuzzy systems [1] ... See full document

... implementation, time delays occur due to finite switching speed of the amplifiers and communication ...of time delay may lead to some complex dynamic behaviors such as oscillation, divergence, ... See full document

... of time-delay, such as the urban traffic networks system, digital communication system, and the power systems ...neural networks have been successfully applied to solve the control design problem for ... See full document

... neural networks (FCNNs) proposed by Yang and Yang in 1996 [25] have been successfully applied in many fields such as physics, chemistry, biol- ogy, economics, sociology, medicine, meteorology, and so on ... See full document

... neural networks with time delays have been widely investigated and success- fully applied to signal processing ...neural networks involves not only the dy- namic analysis of equilibrium point ... See full document

... complicated dynamic properties of neural cells, many dynamic neural networks are described by neutral functional differential equations including neutral delay differential ...neural networks ... See full document

... and delays is un- realistic. Therefore, in this sense, time-varying connection matrix and delays will be better candidates for modeling neural information ... See full document