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This study deals with finite-time output feedback attitude stabilisation problem for rigid spacecraft systems subject to input constraints. First, a continuous saturated state feedback controller is proposed based on the homogeneous method, after which can guarantee the closed-loop system is global finite-time stable. Then, a switched saturated output feedback controller is developed under a state...
This paper proposes chaotic neural networks with nonlinear Gauss wavelet self-feedback. Chaotic neural networks with wavelet self-feedback not only have the ability of globally searching optimum due to chaos but also have the ability of local approximation due to wavelet. The analyses of asymptotical stability demonstrate the proposed networks can converge stably. The experimental results show that...
Chaotic neural network has been proved to be a powerful tool to solve combinational optimization problems. Wavelet chaotic neural network is a kind of chaotic neural network with non-monotonous activation function composed by Sigmoid and Wavelet. In this paper, first a wavelet chaotic neural network model with different nonlinear self-feedbacks is proposed and the effects of the different self-feedbacks...
The common challenges in the real-time control system design are the control system integration, modeling and analysis, program coding, and real-time data communication. To address the solutions to these challenges, this paper presents the design of a control system testbed for a two degrees of freedom (2-DOF) robot. The design methodology supports the designer to (1) apply the theories of robotics...
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