regarding the nature of non-linear discrete placement, and in order to determine the optimal capacity of the substation, the goal in the present study will be a number of local optimum points. in this research, the problem of optimal placement posts to reduce power losses by considering distributed generation (dg). in formulating the objective function, geographical distribution density in the ...

Abstract The problem of asymptotic stability and extended dissipativity analysis for the generalized neural networks with interval discrete distributed time-varying delays is investigated. Based on a suitable Lyapunov–Krasovskii functional (LKF), an improved Wirtinger single integral inequality, novel triple convex combination technique, new criteria are achieved delays. By above methods, less ...

This paper considers the formation trajectory tracking problem of discrete-time distributed multi-AUVs (multiple autonomous underwater vehicles) with control input in a nonconvex set and weak communication. Firstly, linear model single AUV is obtained by feedback linearization using Lie derivative theory. Then, equation multi-AUV obtained, coordinated system based on given. Secondly, transforme...

this paper proposes a discrete-time repetitive optimal control of electrically driven robotic manipulators using an uncertainty estimator. the proposed control method can be used for performing repetitive motion, which covers many industrial applications of robotic manipulators. this kind of control law is in the class of torque-based control in which the joint torques are generated by permanen...

Hidden Markov Model is a popular statisical method that is used in continious and discrete speech recognition. The probability density function of observation vectors in each state is estimated with discrete density or continious density modeling. The performance (in correct word recognition rate) of continious density is higher than discrete density HMM, but its computation complexity is very ...