Takagi–Sugeno fuzzy model based indirect adaptive fuzzy observer and controller design

Observer-based Composite Adaptive Dynamic Terminal Sliding-mode Controller for Nonlinear Uncertain SISO Systems

“…[12], based on traditional DSM control, a robust observer was proposed to estimate the state-dependent uncertainty in dynamic sliding variable. Another approach called observer-based adaptive control has achieved great development in recent years [15][16][17][18][19][20]. Compared with some general state estimators proposed in[21，22], the robust observer is employed to estimate the unavailable system states, so the parameters of controller can be adjusted on-line by the adaptive controller in this observer-based adaptive control scheme.…”

Fuzzy Optimal Control Problem of Several Variables

“…A large number of researches have been studied in various aspects of the theory and applications of these notions; one of these research lines has been the fuzzy optimal control problem. In the past few decades, the fuzzy optimal control problem has received growing attention, and many results of researches have been reported in the literature ( [9][10][11][12][13][14][15][16][17][18][19] and references therein).…”

An adaptive state tracking control scheme for T–S fuzzy models in non-canonical form and with uncertain parameters

“…Fuzzy-approximation-based adaptive control designs were systematically studied in [13][14][15][16][17][18][19]. Recent developments on adaptive T-S fuzzy control techniques include indirect adaptive control based on the T-S fuzzy system with canonical form state-space local models [17], observerbased adaptive control fuzzy control design [32,33], adaptive T-S fuzzy control schemes that are developed for nonlinear systems with exponentially stable zero dynamics [13], sliding-mode control for T-S fuzzy systems [34][35][36], adaptive T-S fuzzy control for square multiple-input multiple-output (MIMO) nonlinear systems [29].…”