6533b850fe1ef96bd12a8454

RESEARCH PRODUCT

Distributed Adaptive Consensus Tracking Control of Uncertain High-order Nonlinear Systems under Directed Graph Condition

Jiang LongJing ZhouHao WuWei Wang

subject

0209 industrial biotechnologyAdaptive controlComputer scienceParameterized complexityEstimator02 engineering and technologyDirected graphNonlinear system020901 industrial engineering & automationControl theoryBackstepping0202 electrical engineering electronic engineering information engineeringTrajectoryUniform boundedness020201 artificial intelligence & image processing

description

In this paper, we investigate the output consensus tracking problem for a class of high-order nonlinear systems subjected to unknown parameters and uncertain external disturbances. A novel backstepping based distributed adaptive control scheme is presented under the directed communication status. For the subsystems without direct access to time-varying desired trajectory, local estimators are introduced and the corresponding adaptive laws are designed in a totally distributed fashion. With the presented scheme, the assumption on linearly parameterized reference signal and the information exchange operation of subsystem inputs in the existing results are no longer needed. It is shown that all the closed-loop signals are globally uniformly bounded and desired output consensus tracking can be achieved.

http://hdl.handle.net/11250/2594271