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Model-based approaches to the planning or control of robot locomotion or manipulation requires the solution of complementarity problems that model intermittent contact. Fixed-point iteration is a method of computing fixed points of functions and there are several fixed-point theorems to guarantee the existence of fixed points. With the help of proximal point functions, the complementarity problems...
This paper introduces sliding mode control with ellipsoidal sliding surface which have the characteristic of finite convergence time to the equilibrium point from any initial condition. The proposed method is more robust than conventional method because it has no reaching phase. It converge to the equilibrium point faster than conventional method. The conventional linear sliding surface can not guarantee...
In the paper optimal control problems of Lagrange and Bolza type governed by Dirichlet problem are considered. The main results are existence and continuous dependence of solution to Dirichlet problem. These results are then apply in the proof of the existence of optimal control problem.
The purpose of this paper is to present a new integral coefficient change method that is not required the load current detection. The integral coefficient is changed based on the on-time of main switch. It uses two kinds of hysteresis function for stable operation around the boundary point of continuous conduction mode and discontinuous conduction mode. One uses the shape of rectangular And another...
The purpose of this paper is to presents a new integral gain switchover method that has the unique hysteresis function in which the current sensor circuit is not required. In this paper, two kind of integral gain switchover method is indicated. One is te two-step switchover method having the rectangle hysteresis function. The other is slope switchover method having rectangular triangle hysteresis...
A novel fault approximation tool (FAT) is presented for use in distribution networks with a high penetration of inverter-interfaced distributed generation. The FAT does not rely on balanced operation nor an absolute reference point for voltage calculations, both of which are required for Newton-Raphson load flow calculations. Simulations show that the FAT provides an accurate representation of the...
Open source Development Model Algorithm (ODMA) is one of the recently proposed heuristic algorithms that is inspired by open source software development mechanism and community's behaviors. The superior performance of this algorithm has been proven among the other most well-known algorithms such as genetic algorithm (GA) and particle swarm optimization (PSO). However, the original version of this...
In this paper, we propose two new information criteria to select the desired model order for probability density function (PDF) estimation using the maximum entropy method (MEM). These two proposed information criteria are based on Akaike information criterion (AIC) and Bayesian information criterion (BIC), respectively. The PDF estimation using MEM can be presented using integer and fractional moments...
Gravitational Search Algorithm (GSA) is a population-based optimization algorithm based on Newton's law of gravity and the notion of mass interactions. GSA has the advantage of proper global search ability. However, it suffers from weak local search due to relatively big step-size of agents in the search process. In order to improve the balance between exploration and exploitation of GSA, two mechanisms...
This paper is concerned on analytical treatment of non-linear differential equation of a viscous boundary layer flow due to a moving sheet. An analytic approximate technique, namely Optimal Homotopy Asymptotic Method (OHAM) is employed into a new version for this purpose. It is proved that OHAM provide accurate solution for the nonlinear differential equation of the third-order with initial and boundary...
In this work, first part of this study, the high resolution numerical schemes of Lax and Wend off, of Yee, Warming and Harten, of Yee, and of Harten and Osher are applied to the solution of the Euler and Navier-Stokes equations in two-dimensions. With the exception of the Lax and Wend off and of the Yee schemes, which are symmetrical ones, all others are flux difference splitting algorithms. All schemes...
We have recently shown that the operator expectation values for the quantum dynamical systems of singular Hamiltonians, cannot be expanded into temporal Maclaurin series. Depending on the nature of the system under consideration and the relevant operator, either a finite number of terms can exist while the others become infinite or the series can convergence only at the beginning of the evolution...
In this paper consensus in second-order multi-agent systems with a non-periodic sampled-data exchange among agents is investigated. The sampling is random with bounded inter-sampling intervals. It is assumed that each agent has exact knowledge of its own state at all times. The considered local interaction rule is PD-type. The characterization of the convergence properties exploits a Lyapunov-Krasovskii...
Diffuse Optical Tomography (DOT) has become an emerging non-invasive technology, and has been widely used in clinical diagnosis. Functional near-infrared (FNIR) is one of the important applications of DOT. However, FNIR is used to reconstruct two-dimensional (2D) images for the sake of good spatial and temporal resolution. In this paper we propose a multiple-input and multiple-output (MIMO) based...
This paper presents a new preconditioned dual-primal non-overlapping domain decomposition method for the finite element solution of three-dimensional large-scale electromagnetic problems. Fast convergence performance is achieved with the aid of (1) a higher-order transmission condition; (2) a global coarse space correction; and (3) an algebraic preconditioner. Several numerical examples with perfectly...
This paper proposes a modified version of opinion communication based on naming game to simulate the formation of opinion in real society. In the version, freshness is brought in to measure memory level of one opinion for each agent, when various opinions exist in social population. Main researches are devoted to new opinion replacing old opinion after system already convergences to an opinion, revealing...
This paper presents an automatic impedance-matching algorithm that can sequentially realize a simultaneous conjugate-matching state for all the elements in an N-element array antenna. The analytical results show that the converged solution obtained from the proposed algorithm agrees well with the solution calculated by the analytical deterministic equation, confirming the validity of the proposed...
Quantum inspired evolutionary algorithms are heuristic search methods, where all individuals in the search space directed to the best solution position. Using quantum gate operator with other evolutionary operators such as selection, crossover and mutation constitute a challenge in terms of their types and their parameters. In this paper we design several quantum crossover and quantum mutation operators...
Artificial bee colony algorithm is a new population-based evolutionary method based on the intelligent behavior of honey bee swarm. It has shown more effective than other biological-inspired algorithms. However, there are still insufficiencies in ABC algorithm, which is good at exploration but poor at exploitation and its convergence speed is also an issue in some cases. For these insufficiencies,...
Localization, the determination of geographical location of sensors is a fundamental problem in wireless sensor networks. In this paper we consider a static wireless network in which the reference nodes are static-non moving. We propose a positioning method known as hybrid optimizing algorithm (HOA) which combines steepest decent method and Taylor series expansion method. The steepest decent method...
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