Paper Info
Title
Observer-based fuzzy adaptive optimal stabilization control for completely unknown nonlinear interconnected systems.
Abstract
Fuzzy adaptive optimal bounded control problems are first investigated for a class of nonlinear continuous-time interconnected systems whose system internal dynamics and unmatched interconnections are completely unknown, when there exist unavailable states in the subsystems of the interconnected systems. The system states and the interconnection terms of the interconnected system are approximated by using a fuzzy state observer. The decentralized optimal controllers and observer-critic structure are designed according to adaptive dynamic programming and enforcement learning technology. The presented control methods can ensure that the system states and parameter estimation errors of the interconnected systems are ultimately uniformly bounded. A simulation example validates the effectiveness of the presented scheme.
Year
DOI
Venue
2018
10.1016/j.neucom.2018.06.020
Neurocomputing
Keywords
Field
DocType
Fuzzy logic systems,State observer,Adaptive dynamic programming,Unknown nonlinear systems,Bounded control
State observer,Dynamic programming,Nonlinear system,Control theory,Fuzzy logic,Uniform boundedness,Artificial intelligence,Estimation theory,Observer (quantum physics),Machine learning,Mathematics,Bounded function
Journal
Volume
ISSN
Citations 
313
0925-2312
3
PageRank 
References 
Authors
0.40
31
2
Name
Order
Citations
PageRank
Tiechao Wang1566.80
Shaocheng Tong28625289.74