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In this paper, we develop a nonlinear controller to achieve trajectory tracking for a velocity-sensorless vertical take-off and landing (VTOL) aircraft with measurement delays. By applying Pade approximation technique, the original controlled system is approximately transformed into an augmented dimension system without any time delay. After constructing full-order observer, error coordinate transformation,...
Uncertainty is an intrinsic feature of decision-making information systems and thus plays an important role in their performance. The system uncertainty can be measured efficiently by rough group theory based methods, which has better performance and certain drawbacks when combined with entropy. Based on all known entropy and approximation classification quality, we proposed a new measure method which...
In this paper we proposed an adaptive output feedback control for actuator failures compensation for a class of uncertain nonlinear systems. Firstly, we assume full state availability and design an adaptive state feedback control scheme based on dynamic surface control (DSC) technique; where radial basis function neural networks (RBF NNs) are incorporated to compensate system uncertainties. Then,...
In order to investigate the approximate information contained in upper approximation, a mathematical structure called a tree-approximate space is defined, which is an extension of an approximate space in rough set theory. By integrating upper approximation with a tree in the tree-approximate space, approximate reasoning is introduced. It establishes connections between vertices, and can determine...
This paper provides an adaptive dynamic surface control for a class of nonlinear systems with unknown dead zone using fuzzy logic system. The dead zone precompensator is constructed to deal with non-symmetrical dead zone parameters and to compensate the effect of the dead zone. The dynamic surface control (DSC) method overcomes the problem of “explosion of complexity” in the traditional backstepping...
An efficient algorithm for solving Fredholm systems is proposed with operational matrices of integration of Haar wavelets. Numerical experiments demonstrate that the approximate solutions obtained by the presented algorithm have wonderful agreement with the analytical solutions and tend to be more accurate with the increase of the order of the Haar wavelet.
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