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In this paper, a nonlinear adaptive regulation controller is presented for a class of underactuated quadrotor unmanned aerial vehicle (UAV). The vehicle's dynamics is subject to modeling impression associated with the inertia matrix, aerodynamic damping coefficients, and some other system parameters. The on-line parameter estimation scheme is combined with feedback control to develop the adaptive...
Recently, a deterministic learning theory was presented in which an appropriately designed adaptive neural controller can learn the system internal dynamics while attempting to control a class of nonlinear systems. In this paper, we investigate deterministic learning from adaptive neural network (NN) control of Brunovsky systems by using only output measurements. A high-gain observer (HGO) is first...
The problem of stability of uncertain T-S fuzzy system has been studied, and the sufficient conditions, which maintain the stability of the system based on the descriptor representation, has been proved. Then, convert these conditions into LMIs (linear matrix inequalities). Our results reduce computation obviously compared with the previous one. For the more relaxed LMIs conditions, a new fuzzy controller...
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