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The principal issue of the PSO is the early convergence because of the use of constant and linear inertia weight. To deal with this problem and to enhance the exploitation and exploration search of PSO, this research work present a new PSO based MPPT method including fuzzy reasoning for inertia weight adaptation (FPSO). The performance of the suggested(More)
Support vector machine (SVM) is a popular method of learning classification with lots of applications. In this work, we extend SVM to recognize the appearance of tumors in MR brain image. Parameterization of the kernel in SVM learning procedure, along selecting features, influences the accuracy of the recognition and increases the computational effect. For(More)
This chapter focuses on the stability analysis problem for a class of continuous-time switched time-delay systems modelled by delay differential equations under arbitrary switching. Then, a transformation under the arrow form is employed. Indeed, by using a constructed Lyapunov function, the aggrega-tion techniques, the Kotelyanski lemma associated with the(More)
This paper propose some solutions to improve the performance of terminals mobile transmissions at high speeds, low cost and low power consumption. Indeed, the increase in rates implies that the transmission channels are more difficult, making the task of receivers more difficult. , we are interested in solving the classical problem of detection of a linear(More)
In this paper, optimal control problems for switched systems are studied. In particular, we focus on such problems given a prespecified sequence of active subsystems and propose two approaches based on meta-heuristics to find the optimal switching instants. The first one is based on the Genetic Algorithm (GA) and the second on the Particle Swarm(More)