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    Chapter and Conference Paper

    Approximation-Based Adaptive Neural Tracking Control of an Uncertain Robot with Output Constraint and Unknown Time-Varying Delays

    This paper presents an adaptive neural control design for an n-link rigid robot with both output constraint and unknown time-varying delays. The main design difficulties caused by both the output constraint and u...

    Da-Peng Li, Yan-Jun Liu, Dong-Juan Li in Advances in Neural Networks - ISNN 2017 (2017)

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    Chapter and Conference Paper

    Adaptive Intelligent Control for Continuous Stirred Tank Reactor with Output Constraint

    For a class of continuous stirred tank reactor with the output constraint and the uncertainties, an adaptive control approach is proposed based on the approximation property of the neural networks. The conside...

    Dong-Juan Li, Yan-Jun Liu in Advances in Neural Networks – ISNN 2014 (2014)

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    Chapter and Conference Paper

    The Research of Efficient Algorithm to Generate Sudoku Puzzle

    Method to solve a puzzle, evaluation of difficulty level, guaranteeing a single solution and time complexity are the main factors to generate Sudoku puzzles. This paper develops three kinds of Methods to gener...

    Sen Huang, **-cai Huang, Qing Chen in Proceedings of the 2012 International Conf… (2013)

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    Chapter and Conference Paper

    The Design and Realization of E-commerce Website Chat-Room System

    With the development of Internet and the rapid popularization, electronic commerce development. In order to promote the development of this mode, the electronic commerce web chat room system is developed, the ...

    Yan-jun Liu, Zu-peng Liu in Information and Business Intelligence (2012)

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    Chapter and Conference Paper

    Adaptive Robust NN Control of Nonlinear Systems

    A direct adaptive neural networks (NNs) control based on the backstep** technique is proposed for uncertain nonlinear discrete-time systems in the strict-feedback form. The NNs are utilized to approximate un...

    Guo-**ng Wen, Yan-Jun Liu, C. L. Philip Chen in Advances in Neural Networks – ISNN 2011 (2011)

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    Chapter and Conference Paper

    Adaptive Neural Network Control for Nonlinear Systems Based on Approximation Errors

    A stable adaptive neural network control approach is proposed in this paper for uncertain nonlinear strict-feedback systems based on backstep**. The key assumptions are that the neural network approximation ...

    Yan-Jun Liu, Wei Wang in Advances in Neural Networks - ISNN 2006 (2006)