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Electrical energy generation by using Photovoltaic system is becoming popular day by day. This paper presents a control topology for multilevel inverters used in standalone PV system. A hybrid technique is used to optimize the switching angles of thirteen levels single-phase cascaded multilevel inverter for selective harmonics elimination. The nonlinear transcendental equations problem is solved by...
A numerical approach to calculate multivariate transcendental equations in complex number domain that can be applied to solve dispersion equation is presented here. The mathematical derivations of the convergence of the moduli of the equations around null point are presented strictly, when the transcendental equation is univariate. Similar process also applies to the case when the equations are multivariate...
A generalized blind equalization scheme, insensitive to phase shifts introduced by the channel and small carrier phase offsets, is derived. Multiple constraints optimization techniques have been used in the development of the proposed algorithm. This scheme is an improved version of a dual mode modified constant modulus algorithm (MCMA). It uses the principle of minimal disturbance to induce robustness...
This paper proposes a method for increasing the throughput of recursive least squares (RLS) adaptive filters when only a few processing elements (PEs) are available. Throughput can be traded against the rate of convergence by varying a parameter. Because the conventional methods for improving the throughput of an RLS filter require the use of more or faster PEs, the proposed technique will expand...
A problem of dynamical identification of inputs of systems described by ordinary differential equations is considered. Solving algorithms based on the method of control of a model are suggested.
This paper describes a solution to a consensus problem whereby a group of agents evolve in continuous-time and exchange information at discrete instants of times. In the setup adopted each agent is viewed as a node in a graph, its evolution is represented by a scalar node variable, and all agents seek to agree on a common value. The agents are allowed to exchange information among each other but only...
Many problems associated with networked systems can be formulated as network utility maximization (NUM) problems. Dual decomposition is a widely used distributed algorithm that solves the NUM problem. This approach, however, uses a step size that is inversely proportional to measures of network size such as maximum path length or maximum neighborhood size. As a result, the number of messages exchanged...
In the present article we propose a nonlinear observer that merges the behaviors 1) of an extended Kalman filter, mainly designed to smooth off noise, and 2) of high-gain observers devoted to handle large perturbations in the state estimation. We specifically aim at continuous-discrete systems.
In this work we present a new algorithm to solve the average-consensus problem. The main goal of this algorithm is to obtain exact convergence despite the existence of quantized communication channels between the agents. Starting from the Zoom-in Zoom-out strategy already presented in [5], we introduce the equations describing the behaviour of the algorithm and we formally prove the asymptotic agreement...
The problem of asymptotic stabilization for selected motions of a tractor-trailer system is addressed using Lyapunov techniques. Smooth, bounded, nonlinear control laws achieving local exponential stability along the desired path are designed and explicit bounds on the region of attraction are provided. The problem of asymptotic controllability with bounded control is also addressed.
We present a convergence theorem for a com- putable continuous-time recursive maximum likelihood method with resetting, under realistic conditions. Resetting takes place if the estimator process hits the boundary of a pre-specified compact domain, or if the rate of change, in a stochastic sense, of the parameter process would hit a fixed threshold. The modified recursive maximum likelihood estimator...
This work presents an Extended Kalman Filter (EKF) for estimating the kinetic rates in bioprocesses. The unknown kinetic rates are modeled as the output of a linear system persistently excited. The gain of the filter is designed by the Ricatti differential equation. The stability and convergence are analyzed using Lyapunov functions. To illustrate the application of this observer, the estimation of...
This paper is devoted to the trajectory tracking and set-point feedback control problems formulated for an articulated tractor-trailer vehicle with off-axle hitching. The Vector Field(s) Orientation (VFO) control method presented in the paper allows treating the two tasks in a unified manner. Proposed concept leads to smooth and non-oscillatory vehicle motion quality together with intuitive geometrical...
This paper presents a deterministic model of Ant System and its subsequent frequency domain analysis. Classical Ant System is modeled as a first order and first degree differential equation form without violating the stochastic nature of the ant dynamics. Then, a transfer function model is developed and the system characterization is done in frequency domain. It is helpful to explore the system behavior...
Quantum-behaved particle swarm optimization (QPSO) algorithm theoretically guarantees global convergence and has been implemented on a wide suite of continuous optimization problems. In this paper, the nonlinear multimodal optimization problem of high pass FIR filter design is investigated using the weighted mean best QPSO algorithm (WQPSO). The results are compared with competitive techniques such...
A non-conformal domain decomposition algorithm (DDA) of the hybrid finite element-boundary integral-multilevel fast multipole algorithm (FE-BI-MLFMA) is presented for computing electromagnetic scattering/radiation problems. The numerical performance of the presented non-conformal DDA-FE-BI-MLFMA is investigated for scattering/radiation problems comparing with its conformal version. Furthermore, a...
A domain decomposition method (DDM) using phase extracted basis functions with very few overlapped buffer regions is investigated to solve electromagnetic scattering problems of electrically large PEC objects. The concept of "Non-scattering surface" is employed in this DDM and combined field integral equation (CFIE) is used in the numerical solution of each subdomain in corresponding local...
Numerous algorithms have been invented for optimizations which are nature inspired and based on real life behaviour of species. In this paper, intelligent chasing and hunting methods adopted by the dogs to chase and hunt their prey in groups are used to develop the novel methodology named as “Dog Group Wild Chase and Hunt Drive (DGWCHD) Algorithm”. The proposed algorithm has been implemented on some...
In ultra dense heterogeneous networks (HetNets), the interference becomes more serious since multiple small cells coexist in the coverage area of the macrocells and share the same spectrum. An efficient interference coordination method is adjusting the transmit powers of all cells in a cooperative way. However, under practical serving cell selection rules in which serving cells of users alter with...
In this paper, we consider the characteristics of the kernel adaptive filters for the mixture of linear and non-linear environments. We first consider employing a linear kernel as one of the kernels in multi-kernel adaptive filters. It is pointed out that the convergence characteristics of the filter corresponding to the linear kernel is affected by the selection of the other kernels. Then, we propose...
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