Titlebook: Advances in Neural Networks – ISNN 2019; 16th International S Huchuan Lu,Huajin Tang,Zhanshan Wang Conference proceedings 2019 Springer Nat

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Practice, Education, Work and Societyparametric model uncertainty and external ocean disturbance. The identifier for USV is designed based on Robust Integral Sign of the Error (RISE) and neural networks. With the proposed identifier, asymptotic stability of the estimation errors can be proven in the presence of parametric model uncerta

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Diane Tasker PhD,Joy Higgs Am Pfhea PhDctly by non-reduced order method. By Lyapunov theory and some analytical techniques, some criteria of global asymptotic and exponential stabilization for the considered FINN are obtained. An example is given to show the effectiveness and validity of the theoretical results.

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The Role of Direct Care Providers in PACEceding horizon control problem for the HVAC system is formulated as sequential quadratic programs, which are solved by using a neurodynamic optimization model. Simulation results on temperature setpoint regulation of the HVAC system are discussed to substantiate the efficacy of the approach.

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Starting and Growing a PACE Program the speed, a robust adaptive resonant damping control is proposed for trajectory tracking of a nanopositioner system driven by a piezoelectric actuator. Radial basis function neural network is employed to approximate unknown nonlinearities in the controller so as to reduce the dependence on model i