Stability and Control of Fractional-Order Fuzzy Stochastic Clifford-Valued Neural Networks with Hybrid Markovian Switching, Cyber-Attacks, and Event-Triggered Multi-Agent Synchronization
We develop a rigorous stability and control theory for a class of Caputo fractional-order, Takagi–Sugeno (T–S) fuzzy, Itô stochastic, Clifford-valued neural networks (FFSCNNs) operating as agents of a leader–following multi-agent system. The model simultaneously incorporates (i) a Clifford (geometric) algebra state spa...