Yuyao He

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Many difficult combinatorial optimization problems arising from science and technology are often difficult to solve exactly. Hence a great number of approximate algorithms for solving combinatorial opthintion problems have been developed [lo], [IS]. Hopfield and Tank applied the continuowtime, continuous-output Hopfield neural network (CTCGH?W) to TSP,(More)
Multilevel inverter has been widely investigated for high-power applications in recent years. Various topologies and modulation strategies have been proposed for utility and drive applications in the literature. There are three main types of transformerless multilevel inverters proposed so far, diode-clamped inverter, flying-capacitor inverter and cascaded(More)
Abstract-The heterogeneous surveillance sensor network can balance the energy consumption better than homogeneous one, and cellular can cover the whole surveillance field without any gap or overlap. Based on the preconditions above, the authors propose the energy consumption and network lifetime models of heterogeneous surveillance sensor network in the(More)
In this paper, a user-optimal mode is proposed, which takes into account the user equilibrium for initial route planning in the plain area and the effect of lake located nearby the central business district (CBD) on flow intensity. We consider a city with two highly compact CBDs and a lake. Within the city region, commuters are assumed to be scattered(More)
In order to deal with the mismatched unknown disturbance and nonparametric uncertainties in nonlinear systems, we propose an adaptive robust L<sub>2</sub>-gain hybrid controller for a class of nonlinear systems with uncertainties. Our controller employs a robust L<sub>2</sub>-gain control strategy to deal with the unknown disturbance, and a state reference(More)
Hardware/software (HW/SW) partitioning problem is NP hard problem. An improved algorithm based on estimation of distribution algorithms is proposed to solve HW/SW partitioning problem. Estimation of distribution algorithm is good in globe search but poor in local search and may suffer from &#x201C;premature convergence&#x201D; beacause of diversity loss.(More)