DocumentCode
234009
Title
Cooperative output synchronization of networked systems in strict feedback form in the presence of unknown disturbance
Author
Junmin Peng ; Chao Huang ; Xudong Ye
Author_Institution
Coll. of Electr. Eng., Zhejiang Univ., Hangzhou, China
fYear
2014
fDate
28-30 July 2014
Firstpage
1282
Lastpage
1287
Abstract
This paper considers the cooperative output synchronization of networked SISO nonlinear systems that can be transferred into strict feedback form, in spite of parametric uncertainties in agents dynamics, input channel of each agent is perturbed by an unknown but bounded disturbance. Moreover, the bounds of the disturbance are also unknown. Combined Backstepping method together with Graph Theory and sliding mode control, a distributed adaptive controller is designed recursively for each agent to drive its output synchronized to its neighbors in the network while other variables in the overall system maintain bounded. It is proved that under the topology condition that the graph is connected, all agents´ outputs in the network can be synchronized, i.e., cooperative output synchronization of the network is achieved. The distributed controller for each agent has five parts: parameter updaters for the unknown parameters in the dynamic of itself; parameter updaters for the parameters of its neighbors; state-feedback of itself; state information of its neighbors and an adaptive disturbance compensator. Simulation result has been presented to verify the effectiveness of the proposed controller.
Keywords
adaptive control; compensation; control system synthesis; distributed parameter systems; graph theory; networked control systems; nonlinear control systems; state feedback; uncertain systems; variable structure systems; adaptive disturbance compensator; agents dynamics; combined backstepping method; cooperative output synchronization; distributed adaptive controller; graph theory; networked SISO nonlinear systems; parameter updaters; parametric uncertainties; sliding mode control; state information; state-feedback; strict feedback form; topology condition; Artificial neural networks; Laplace equations; Nickel; Sliding mode control; Synchronization; Uncertainty; Vehicle dynamics; Laplacian potential; adaptive control; backstepping; cooperative output synchronization; disturbance;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2014 33rd Chinese
Conference_Location
Nanjing
Type
conf
DOI
10.1109/ChiCC.2014.6896813
Filename
6896813
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