Observer-Based Adaptive Backstepping Consensus Tracking Control for High-Order Nonlinear Semi-Strict-Feedback Multiagent Systems
Zhuhai Institute of Advanced Technology · University of Macau · +3 more institutions
Abstract
Combined with backstepping techniques, an observer-based adaptive consensus tracking control strategy is developed for a class of high-order nonlinear multiagent systems, of which each follower agent is modeled in a semi-strict-feedback form. By constructing the neural network-based state observer for each follower, the proposed consensus control method solves the unmeasurable state problem of high-order nonlinear multiagent systems. The control algorithm can guarantee that all signals of the multiagent system are semi-globally uniformly ultimately bounded and all outputs can synchronously track a reference signal to a desired accuracy. A simulation example is carried out to further demonstrate the…
Citation impact
- FWCI
- 63.10
- Percentile
- 100%
- References
- 52
Authors
4Topics & keywords
- Backstepping
- Control theory (sociology)
- Multi-agent system
- Nonlinear system
- Observer (physics)
- Computer science
- Bounded function
- State observer