Name
Title | ||
|---|---|---|
Asymptotic Fuzzy Neural Network Control for Pure-Feedback Stochastic Systems Based on a Semi-Nussbaum Function Technique. |
Abstract | ||
|---|---|---|
Most existing control results for pure-feedback stochastic systems are limited to a condition that tracking errors are bounded in probability. Departing from such bounded results, this paper proposes an asymptotic fuzzy neural network control for pure-feedback stochastic systems. The control goal is realized by proposing a novel semi-Nussbaum function-based technique and employing it in adaptive b... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TCYB.2016.2628182 | IEEE Transactions on Cybernetics |
Keywords | Field | DocType |
Stochastic systems,Fuzzy neural networks,Stochastic processes,Fuzzy control,Control systems,Time-varying systems,Stability analysis | Neuro-fuzzy,Mathematical optimization,Control theory,Stochastic neural network,Fuzzy logic,Adaptive control,Control system,Fuzzy control system,Mathematics,Bounded function,Stochastic control | Journal |
Volume | Issue | ISSN |
47 | 9 | 2168-2267 |
Citations | PageRank | References |
6 | 0.40 | 58 |
Authors | ||
5 | ||