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Adaptive Neural Network-Based Control for a Class of Nonlinear Pure-Feedback Systems With time-varying Full State constraints

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IEEE/CAA Journal of Automatica Sinica 2018年第5期5卷 923-933页

作者： Tingting Gao Yan-Jun Liu Senior Member IEEE Lei Liu Dapeng Li the college of science liaoning university of technologyJinzhou 121000，China ieee the school of electrical engineering liaoning university of technologyJinzhou 121000，China

Abstract--In this paper, an adaptive neural network （NN） control approach is proposed for nonlinear pure-feedback sys- tems with time-varying full state constraints. The pure-feedback systems of this paper are assumed to possess nonlinear function uncertainties. By using the mean value theorem, pure-feedback systems can be transformed into strict feedback forms. For the newly generated systems, NNs are employed to approximate unknown items. Based on the adaptive control scheme and backstepping algorithm, an intelligent controller is designed. At the same time, time-varying Barrier Lyapunov functions （BLFs） with error variables are adopted to avoid violating full state constraints in every step of the backstepping design. All closed- loop signals are uniformly ultimately bounded and the output tracking error converges to the neighborhood of zero, which can be verified by using the Lyapunov stability theorem. Two simulation examples reveal the performance of the adaptive NN control approach. Index TermsmAdaptive control, neural networks （NNs）, non- linear pure-feedback systems, time-varying constraints.

关键词： Adaptive control neural networks(NNs) nonlinear pure-feedback systems time-varying constraints

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Evolutionary approaches for supply chain optimisation Part I:single and two-component supply chains

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International Journal of Intelligent Computing and Cybernetics 2012年第4期5卷 444-472页

作者： Maksud Ibrahimov Arvind Mohais Sven Schellenberg Zbigniew Michalewicz Department of Computer Science University of AdelaideAdelaideAustralia SolveIT Software AdelaideAustralia University of Adelaide AdelaideAustralia

Purpose–The purpose of this paper and its companion(Part II:multi-silo supply chains)is to investigate methods to tackle complexities,constraints(including time-varying constraints)and other *** tis part,the paper aims to devote attention to single silo and two-silo supply *** also aims to discuss three *** first model is based on the winebottling real-world system and exposes complexities of a single operational component of the supply *** second model extends it to two components:production and *** last system is a real-world implementation of the two-component supply ***/methodology/approach–Evolutionary approach is proposed for a single component *** two-component experimental supply chain is addressed by the algorithm based on cooperative *** final problem of steel sheet production is tackled with the evolutionary ***–The proposed systems produce solutions better than solutions proposed by human experts and in a much shorter ***/value–The paper discusses various algorithms to provide the decision support for the real-world *** proposed systems are in the production use.

关键词： Genetic algorithms Cooperative coevolution Coordinated supply chain time-varying constraints Supply chain management time-varying control systems

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Evolutionary approaches for supply chain *** II:multi-silo supply chains

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International Journal of Intelligent Computing and Cybernetics 2012年第4期5卷 473-499页

作者： Maksud Ibrahimov Arvind Mohais Sven Schellenberg Zbigniew Michalewicz Department of Computer Science University of AdelaideAdelaideAustralia SolveIT Software AdelaideAustralia

Purpose–The purpose of this paper and its companion(Part I:single and two-component supply chains)is to investigate methods to tackle complexities,constraints(including time-varying constraints)and other *** this part,attention is devoted to multi-silo supply chain and the relationships between the *** first part of the paper aims to consider two types of experimental supply chains:with one-to-many and many-to-one *** second half of the paper aims to present two approaches on optimising the material flow in the real-world supply chain ***/methodology/approach–Cooperative coevolutionary and classical sequential approaches are taken to address the experimental multi-silo supply *** to the nature and the complexity of the supply chain presented in the second half of the paper,evolutionary algorithm was not sufficient to tackle the problem.A fuzzy-evolutionary algorithm is proposed to address the ***–The proposed systems produce solutions better than solutions proposed by human experts and in much shorter ***/value–The paper discusses various algorithms to provide the decision support for the real-world *** system proposed for the real-world supply chain is in the process of integration to the production environment.

关键词： Genetic algorithms Cooperative coevolution Coordinated supply chain time-varying constraints time-varying control systems supply chain management

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