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This paper investigates a high-order PDα — type iterative learning control strategy for a class of fractional-order linear time-invariant systems with Caputo derivative 0<α<1. On the basis of fractional integration by parts and generalized Young inequality, sufficient convergence condition of the learning control law is established in the sense of Lebesgue-p norm. It is shown that the convergence...
This paper presents a multivariate spectral conjugate gradient projection method (MSCGP) for solving the nonlinear monotone equations with convex constraints. The proposed method has low storage requirement and it does not need the computation of the derivative as well as the solution to some linear equations. Under some appropriate assumptions, globally convergent is established. Numerical results...
The interior-point filter algorithm (IPFA) is based on a primal-dual interior-point algorithm with a filter set which can be updated after every iteration, and the algorithm will not cycle between two points that alternately decrease the constraint violation and the barrier objective function. The simulation results from IEEE 30-bus system, IEEE 57-bus system and IEEE 118-bus system show that using...
Harmonic estimation of a signal disturbance with additive noise has been an area of interest for researchers in many science and engineering. In this paper, a new technique which can estimate harmonic based on Particle Swarm Optimization (PSO) is presented. Its fundamental idea is to simulate the behavior of the swarm in nature to construct the stochastic optimization algorithm. The identification...
Through analysis of present pseudo-parallel genetic algorithm, propose a new dynamic sub-population pseudo-parallel genetic algorithm. It changes the condition that the magnitude of sub-population is stationary in current information exchange model, the magnitude of sub-population will change with the evolution. This algorithm can not only restrain premature convergence, but also get global values...
In order to distinguish normal tissues and abnormal pathological changes in the clinic diagnose and pathology, it is required to segment the medical images. The snake model is an important method of getting the contour of the object in the image segmentation. However, it has many defects in some fields such as concavity processing, local optimization, convergence speed and segmentation precision....
This paper presents an improved genetic algorithm assisted beamforming, which introduces several parameters to conveniently control the solution precision and search space. The performance of low sidelobe wide nulling and the convergence are discussed for a one-dimensional linear antenna array. The simulation results show that the algorithm can efficiently give a wide nulling of 30 dB and has good...
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