Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Jiangqiang Hu"'
Publikováno v:
International Journal of Wavelets, Multiresolution and Information Processing. :227-239
In this paper, a robust adaptive fuzzy controller is presented for a wide class of perturbed uncertain nonlinear system with unknown virtual control gain function (UVCGF). The Mamdani fuzzy system is used to approximate unstructured uncertain functio
Publikováno v:
Proceedings of the 33rd Chinese Control Conference.
In this paper, an improved online sequential extreme learning machine (OS-ELM) is applied on ship roll motion prediction. The OS-ELM is improved by temporal difference (TD) learning which is one of the mostly conventionally used prediction methods in
Publikováno v:
Proceedings of the 33rd Chinese Control Conference.
An Active Disturbance Rejection Controller (ADRC) was proposed for ship steering to overcome the classic PID defects. The traditional PID control has a wide application on ship autopilot because of its simple structure and obvious efforts. But becaus
Publikováno v:
Proceedings of the 33rd Chinese Control Conference.
Publikováno v:
Proceedings of the 33rd Chinese Control Conference.
Accurate and real-time tidal level forecasting information is significant for ensuring safety of navigation and port operation. The conventional method for tidal level forecasting is the harmonic analysis method which only considers the effect of cel
Publikováno v:
The 26th Chinese Control and Decision Conference (2014 CCDC).
Publikováno v:
SoCPaR
In this paper, a novel robust adaptive control algorithm is proposed for a class of ship course autopilot with parameter uncertainty and input saturation. With the help of Lyapunov stability theory and adaptive backstepping technique, one controller
Publikováno v:
The Fourth International Workshop on Advanced Computational Intelligence.
An improved clonal selection algorithm (ICSA) combined with neighborhood local search approach is proposed for solving job shop scheduling problems in this paper. In ICSA, the antibody population is decomposed into three subsets: the bests, mediums a
Publikováno v:
The Fourth International Workshop on Advanced Computational Intelligence.
In this paper, a novel direct adaptive NN control algorithm is proposed for a class of ship course autopilot with input saturation. Neural networks (NNs) are used to tackle unknown nonlinear function, and then an adaptive NN controller is constructed
Publikováno v:
2010 International Conference on Intelligent Control and Information Processing.
A modified minimal resource allocation network (MRAN) is presented for ship motion predictive control application. To represent the trend of system dynamics change, MRAN is modified by incorporating gradient message in learning process. Resulting var