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A method based on variable horizon predictive control is proposed in the paper for nominal trajectory guidance. Firstly, a feasible reference trajectory is generated by the Gauss pseudospectral method. Then, curvature is employed to represent the smoothness of obtained trajectory and predictive horizon is selected according to the curvature. Different predictive control optimal problems are established...
In order to save energy and improve the driving distance of electric vehicle, a regenerative braking control strategy based on fuzzy control for the electric vehicle with four in-wheel motors is proposed in this paper. Firstly, the braking force is distributed between front axis and rear axis to ensure the safety and stability of the vehicle. Secondly, the braking force is distributed between hydraulic...
A fast algorithm is presented for statistical analysis of large circuits with multiple stochastic parameters. The proposed method combines the merits of the parameterized model order-based techniques and numerical inversion of Laplace transform (NILT). The response of the reduced model at any given time point is expressed as a linear combination of the frequency-domain response at a relatively small...
A fast algorithm is presented for time-domain statistical analysis of large circuits with multiple stochastic parameters. The proposed technique is based on Numerical Inversion of Laplace Transform and does not require explicit presentation of the dynamic model in the form of set of differential equations. As a result, the moment vectors associated with frequency can be excluded when forming the moments...
This paper proposes an optimal power flow (OPF) algorithm based on quadratic modeling and incremental loading of the network. The proposed OPF algorithm is robust and highly efficient for large-scale power systems. Robustness is achieved by the design of the algorithm to operate on infeasible but optimal points and move towards the feasible and optimal operating point. Efficiency is achieved by (a)...
This paper describes a new formulation of the security-constrained optimal power flow (SCOPF) problem and proposes a sequential linear programming algorithm for its solution. The new formulation introduces mismatch variables to ensure that the algorithm remains in the feasible region. Thus the algorithm starts from an arbitrary state: mismatch currents are computed and introduced at each bus to make...
Decoupling capacitors (decaps) are typically used to reduce the noise in the power supply network. Because the delay of gates and interconnects is affected by the supply voltage level, decaps can be used to improve the circuit performance as well. In this paper, we present the analytical delay model under IR drop, Ldi/dt noise, and decaps to study how decaps affect both the gate and interconnect delay...
This paper presents an efficient environment compensation approach for speech recognition on mobile e-learning platforms, based on the Parallel Model Combination method. The probability density of the corrupted speech is calculated directly from the clean speech model and the noise model, which avoid the estimation error in Log-Normal Approximation. The proposed algorithm accelerates the integration...
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