Cooperative Adaptive Fuzzy Tracking Control for Networked Unknown Nonlinear Multiagent Systems With Time-Varying Actuator Faults

2014 ◽  
Vol 22 (3) ◽  
pp. 494-504 ◽  
Author(s):  
Qikun Shen ◽  
Bin Jiang ◽  
Peng Shi ◽  
Jun Zhao
Keyword(s):  
Multiagent Systems ◽  
Tracking Control ◽  
Time Varying ◽  
Actuator Faults ◽  
Adaptive Fuzzy

scholarly journals Adaptive Fuzzy Consensus Tracking Control for Nonlinear Multiagent Systems with Time-Varying Delays and Constraints

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Jie Lan ◽  
Tongyu Xu
Keyword(s):  
Multiagent Systems ◽  
Tracking Control ◽  
Tracking Error ◽  
Time Varying ◽  
Feedback Systems ◽  
Distributed Consensus ◽  
Fuzzy Logic Systems ◽  
State Time ◽  
Adaptive Fuzzy ◽  
Consensus Tracking

This paper proposes an adaptive fuzzy distributed consensus tracking control scheme for a class of uncertain nonlinear dynamic multiagent systems (MASs) with state time-varying delays and state time-varying constraints. The existing controllers with Lyapunov–Krasovskii functions (LKFs) were not suitable to address time-varying delays and time-varying constraints in nonlinear MASs simultaneously. State constraints further increase the difficulty of controller design and stability analysis, especially for nonstrict feedback systems. Fuzzy logic systems (FLSs) tackle the approximation of unknown dynamics functions and parameters. Especially when the distributed consensus tracking error is infinitely close to the origin, although there is no singular value, it would lead to the rapid growth of control rate or uncontrollability. Constructing appropriate piecewise functions can effectively avoid the above occurrence and accelerate convergence. Based on Lyapunov stability theory and algebraic graph theory, the constructed tracking control can ensure states within defined time-varying constraint bounds and eliminate the influence of time delays. All signals in closed-loop systems can be guaranteed semiglobally uniformly ultimately bounded (SUUB). Finally, the validity of the theoretical method is verified by the simulation.

scholarly journals Consensus Tracking of Multiagent Systems with Time-Varying Reference State and Exogenous Disturbances

2014 ◽  
Vol 2014 ◽  
pp. 1-7
Author(s):  
Hong-yong Yang ◽  
Hai-lin Zou ◽  
Hui-xia Liu ◽  
Fei Liu ◽  
Mei Zhao ◽  
...  
Keyword(s):  
Multiagent Systems ◽  
Tracking Control ◽  
Path Following ◽  
Reference State ◽  
Time Varying ◽  
Switching Topologies ◽  
Consensus Tracking ◽  
Exogenous Disturbance ◽  
Exogenous Disturbances ◽  
Path Following Algorithm

The tracking control of multiagent dynamical systems with exogenous disturbances is studied. A path following algorithm with a time-varying reference state is proposed, and the path tracking of multiagent systems with exogenous disturbance is analyzed. Under the influence of the disturbances, a disturbance observer is developed to estimate the exogenous disturbances. Asymptotical consensus of the multiagent systems with time-varying reference state and exogenous disturbances under the disturbance observers-based control (DOBC) can be achieved for fixed and switching topologies. Finally, by applying an example of multiagent systems with switching topologies and exogenous disturbances, the consensus tracking of multiagent systems with time-varying reference state is reached under the DOBC with the designed parameters.

scholarly journals Fault-Tolerant Time-Varying Formation Tracking Control for Unmanned Aerial Vehicle Swarm Systems with Switching Topologies

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Ran Zhen ◽  
Yating Jin ◽  
Xiaojing Wu ◽  
Xueli Wu ◽  
Xuan Lv
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Tracking Control ◽  
Fault Tolerant ◽  
Time Varying ◽  
Actuator Faults ◽  
Control Protocol ◽  
Switching Topologies ◽  
Formation Tracking ◽  
Uav Swarm ◽  
Aerial Vehicle

This paper investigates fault-tolerant time-varying formation tracking control problems for unmanned aerial vehicle (UAV) swarm systems with switching topologies. Actuator faults such as loss of effectiveness and bias fault are mainly considered. Firstly, based on graph theory, an adaptive fault-tolerant time-varying formation tracking control protocol is constructed with adaptive updating parameters and the relative information of the neighboring UAVs, and the feasibility condition for formation tracking is given. The control protocol does not depend on the information of the actuator fault boundary by using adaptive technology. Then, by constructing a reasonable Lyapunov function and solving the algebraic Riccati equation, the stability of the designed controller is proved. For UAV swarm systems with switching topologies and actuator faults, the formation tracking control protocol designed is adopted to enable the followers form the desired time-varying formation and track the leader’s status at the same time. Finally, the simulation examples are given to illustrate the effectiveness of the theoretical results.

Adaptive fuzzy tracking control of nonlinear MIMO systems with time-varying delays

2013 ◽  
Vol 217 ◽  
pp. 1-21 ◽  
Author(s):  
Bing Chen ◽  
Xiaoping Liu ◽  
Kefu Liu ◽  
Chong Lin
Keyword(s):  
Tracking Control ◽  
Mimo Systems ◽  
Time Varying ◽  
Adaptive Fuzzy
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