Flocking of networked Euler–Lagrange systems with uncertain parameters and time-delays under directed graphs

2016 ◽  
Vol 85 (1) ◽  
pp. 415-424 ◽  
Author(s):  
Xiuxian Li ◽  
Housheng Su ◽  
Michael Z. Q. Chen
Keyword(s):  
Time Delays ◽  
Directed Graphs ◽  
Uncertain Parameters

A DELAY-DEPENDENT APPROACH TO ROBUST TAKAGI–SUGENO FUZZY CONTROL OF UNCERTAIN RECURRENT NEURAL NETWORKS WITH MIXED INTERVAL TIME-VARYING DELAYS

2011 ◽  
Vol 20 (08) ◽  
pp. 1571-1589 ◽  
Author(s):  
K. H. TSENG ◽  
J. S. H. TSAI ◽  
C. Y. LU
Keyword(s):  
Fuzzy Control ◽  
Time Delays ◽  
Sufficient Conditions ◽  
Upper And Lower Bounds ◽  
Linear Matrix ◽  
Uncertain Parameters ◽  
Time Varying ◽  
Interval Time ◽  
Delay Dependent ◽  
Takagi Sugeno

This paper deals with the problem of globally delay-dependent robust stabilization for Takagi–Sugeno (T–S) fuzzy neural network with time delays and uncertain parameters. The time delays comprise discrete and distributed interval time-varying delays and the uncertain parameters are norm-bounded. Based on Lyapunov–Krasovskii functional approach and linear matrix inequality technique, delay-dependent sufficient conditions are derived for ensuring the exponential stability for the closed-loop fuzzy control system. An important feature of the result is that all the stability conditions are dependent on the upper and lower bounds of the delays, which is made possible by using the proposed techniques for achieving delay dependence. Another feature of the results lies in that involves fewer matrix variables. Two illustrative examples are exploited in order to illustrate the effectiveness of the proposed design methods.

scholarly journals Composite Adaptive Control of Teleoperators With Joint Flexibility, Uncertain Parameters, and Time-Delays

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 115673-115681
Author(s):  
Yuling Li ◽  
Chang Li ◽  
Jie Dong ◽  
Jing Li ◽  
Yixin Yin
Keyword(s):  
Adaptive Control ◽  
Time Delays ◽  
Uncertain Parameters ◽  
Joint Flexibility ◽  
Composite Adaptive Control

Control of teleoperators with joint flexibility, uncertain parameters and time-delays

2014 ◽  
Vol 62 (12) ◽  
pp. 1691-1701 ◽  
Author(s):  
Emmanuel Nuño ◽  
Ioannis Sarras ◽  
Luis Basañez ◽  
Michel Kinnaert
Keyword(s):  
Time Delays ◽  
Uncertain Parameters ◽  
Joint Flexibility

scholarly journals Observer-Based Leader-Following Consensus of General Linear Multiagent Systems Based on Novel Event Trigger Mechanism with Input Time Delay under Directed Graphs

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Hong Zhang ◽  
Changshun Chen ◽  
Feng Wei
Keyword(s):  
Communication Networks ◽  
Time Delays ◽  
Directed Graphs ◽  
Lyapunov Stability Theory ◽  
General Linear ◽  
Feedback Gain ◽  
Network Resource ◽  
Event Trigger ◽  
Leader Following ◽  
Input Time

This paper considers the tracking and containment consensus for the general linear systems with input time delays under directed communication networks. The distributed observer-based algorithm on the basis of event-triggering mechanism will be designed by using only neighboring agents information. In this way, we can save network resource effectively. The event-based protocol with input time delays will be proposed for the leader-follower systems. Appropriate feedback gain matrices and trigger parameters can be designed by using Lyapunov stability theory. Based on the designed control algorithm, if the feedback gain matrices and the event trigger are designed appropriately, the leader-follower general linear system can eventually reach tracking and containment consensus. Then, two simulation results are provided to demonstrate the practicability of the theoretical analysis.

Synchronization of fractional-order memristor-based complex-valued neural networks with uncertain parameters and time delays

2018 ◽  
Vol 110 ◽  
pp. 105-123 ◽  
Author(s):  
Xujun Yang ◽  
Chuandong Li ◽  
Tingwen Huang ◽  
Qiankun Song ◽  
Junjian Huang
Keyword(s):  
Neural Networks ◽  
Fractional Order ◽  
Time Delays ◽  
Uncertain Parameters ◽  
Complex Valued
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