Novel criteria for finite-time stabilization and guaranteed cost control of delayed neural networks

Finite-time stabilization of uncertain neural networks with distributed time-varying delays

“…Evidently, our results are novel and easily verified. In this paper, the distributed time-varying delays are taken into consideration in studying finite-time stability problem, which achieve a valuable improvement compared with corresponding previous works [25][26][27][28][29][30][31][32][33][34][35][36]38]. Therefore, our results are less conservative and more general.…”

“…Therefore, our results are less conservative and more general. Moreover, the finite-time stabilization of delayed neural networks without distributed time-varying delays has been intensively investigated in [27,32,[34][35][36]38], and the finite-time stabilization of uncertain neural networks with distributed time-varying delays also has been obtained in this paper. However, to the best of our knowledge, there are few results concerning the finite-time stabilization problem of uncertain neural networks (UNNs) with distributed timevarying delays under impulsive perturbations.…”

“…In [35], authors researched the delay-dependent stability of uncertain neural networks with time-varying delays. In [36], the authors studied the robust finite-time stabilization with guaranteed cost control for a class of delayed neural networks. Furthermore, in [25,28,32,34,38], authors investigated the finite-time stabilization and synchronization of delays neural networks in different kinds of methods.…”

Guaranteed cost control of distributed parameter networked control systems with time‐varying delay

“…Recently, with the technology increasingly developing and higher requirements for control performance, guaranteed cost control that not only can guarantee the stability of the system, but also can make it meet a certain performance indicator becomes popular in NCS . The guaranteed cost control design for linear systems connected over a common digital communication network was investigated in .…”

Improved Criteria on Robust Analysis for Linear System Using Convex Combination and Geometric Sequence Methods

“…Therefore, estimation of LKF derivative alternatively for reducing conservatism is another considerable option. Three techniques are commonly applied: Jensen-inequality [11][12][13] , free weight matrix methods 14,15 , convex optimization method including their combinations [16][17][18][19][20][21] . The well known Jensen-inequality and its modification are proposed in refs 18 and 19.…”