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Conventional classifiers often regard input samples as identically and independently distributed (i.i.d.). This is however not true in many real applications, especially when patterns occur as groups (where each group shares a homogeneous style). Such tasks are also called field classification. By breaking the i.i.d. assumption, one novel framework called Field Support Vector Machine (F-SVM) is proposed...
To reach and keep tracking the desired Mars landing trajectory rapidly under various uncertainties and unexpected wind, a power reaching law based sliding mode tracking guidance algorithm is proposed in this paper. The proposed guidance law is composed of three exponential terms, its main improvement is that it can ensure that the lander track the reference trajectory in finite time without chattering...
In order to eliminate bad influence caused by parameter uncertainties and external disturbances in spacecraft tracking system, a higher-order sliding mode control strategy is proposed in this paper. Attitude control system is divided into fast loop and slow loop based on singular perturbation. The sign function is replaced by the norm-type switching function for the continuous virtual control in the...
The convergence of Particle Swarm Optimization (PSO) is an important and difficult problem. In this article, a new generalized PSO analysis model (γ-GPSO) is offered with discretization technique to second-order analog system of PSO; Order one or second stability areas of parameters is confirmed Using dynamic random analysis method; Stability region, the contour of the spectral radius, the mean, variance...
This paper proposes a new and practical model to achieve the electricity market equilibrium based on Linear Supply Function Equilibrium (LSFE) model. In the proposed model, the transmission constraint in addition to the generation constraint and the consumers bidding behavior are considered. The coevolutionary computational approach is proposed to solve the market equilibrium problem. Several cases...
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