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In this paper, adaptive neural control is investigated for a class of nonlinear stochastic systems with stochastic disturbances and unknown parameters. Under the condition of all system states being available for feedback, by employing the back stepping method, a suitable stochastic control Lyapunov function is then proposed to construct an adaptive neural network state-feedback controller, and unknown...
The issue of observer-based robust passive fuzzy controller design is discussed and investigated in this paper for uncertain stochastic Takagi-Sugeno (T-S) fuzzy model with external disturbance. For describing the stochastic behaviors of system, the stochastic differential equation is used to structure the stochastic T-S fuzzy model for representing the nonlinear stochastic systems. Using the Lyapunov...
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