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Can I read Adaptive NN control for discrete-time pure-feedback systems with unknown control direction under amplitude and rate actuator constraints on EtoBox?
Adaptive NN control for discrete-time pure-feedback systems with unknown control direction under amplitude and rate actuator constraints by Weisheng Chen is a Engineering article available to read on EtoBox.
What is Adaptive NN control for discrete-time pure-feedback systems with unknown control direction under amplitude and rate actuator constraints about?
This paper focuses on the problem of adaptive neural network tracking control for a class of discrete-time pure-feedback systems with unknown control direction under amplitude and rate actuator constraints. Two novel state-feedback and output-feedback dynamic control laws are established where the function tanh(•) is employed to solve the saturation constraint problem. Implicit function theorem and mean value theorem are exploited to deal with non-affine variables that are used as actual control. Radial basis function neural networks are used to approximate the desired input function. Discrete Nussbaum gain is used to estimate the unknown sign of control gain. The uniform boundedness of all closed-loop signals is guaranteed. The tracking error is proved to converge to a small residual set around the origin. A simulation example is provided to illustrate the effectiveness of control schemes proposed in this paper.
Who reads Adaptive NN control for discrete-time pure-feedback systems with unknown control direction under amplitude and rate actuator constraints?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Weisheng Chen
- Publisher
- Elsevier Science; Elsevier ; Instrument Society of America; Elsevier BV (ISSN 0019-0578)
- Published
- 2009
- Language
- EN
- Field
- Engineering (Physical Sciences)