Observer-Based Adaptive Fuzzy Tracking Control of MIMO Stochastic Nonlinear Systems With Unknown Control Directions and Unknown Dead Zones
By Yong-ming Li, Shaocheng Tong, Tie-shan Li. IEEE transactions on fuzzy systems, 2015
463 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/00b89f57956bc144644d215d5be89fcbafddbaa0
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In Computational Theory and Mathematics
In Control and Systems Engineering
Citations in the corpus
- Event-Triggered Fuzzy Bipartite Tracking Control for Network Systems Based on Distributed Reduced-Order Observers (2021, unknown): “Then, with the help of [50], we have According to Lemma 4, one gets where Similar to (23), it yields where Based on (19)–(24), one gets and τ i is designed as with τ i (0) = 1 .”
- Adaptive Neural Output Feedback Control of Uncertain Nonlinear Systems With Unknown Hysteresis Using Disturbance Observer (2015, methodology): “An observer-based adaptive fuzzy tracking control scheme was developed for MIMO stochastic nonlinear systems in the presence of unknown dead zones in [16].”
- Prescribed Performance Cooperative Control for Multiagent Systems With Input Quantization (2020, background): “Then, in-depth study about unknown gains was presented in [25]–[30].”