Fuzzy-based interaction prediction approach for hierarchical control of large-scale systems

Nonlinear Pseudo State-Feedback Controller Design for Affine Fuzzy Large-Scale Systems with $${{\varvec{H}}}_{\boldsymbol{\infty }}$$ Performance

“…Because of the complexity of dynamical behaviors in these systems, it is necessary to seek techniques that reduce the complexity of the mathematical models and computational effort. Hence, there have been considerable efforts in modeling, analysis, optimization and control of LSS [2,3], adaptive decentralized stabilization [4,5], decentralized H 1 filtering [6], observer-based output feedback control [7], state estimation [8,9], and many approaches have also been presented to investigate their stability, stabilization, and optimization [10][11][12][13].…”

“…Some approaches based on the parallel distributed compensation (PDC) design have been reported [19,20]. In addition, nonlinear state feedback controllers for fuzzy systems [16][17][18][19][20][21][22], and strategies based on fuzzy Lyapunov functions have been developed [13][14][15][16]. Moreover, stability analysis and stabilization of fuzzy large-scale systems (FLSS) have been studied for the discrete and continuous time [23][24][25][26][27][28].…”