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The problem of observer design for robust residual generation in nonlinear discrete-time systems is considered. The method is proposed to solve this problem involving nonlinear time-dependent transformation of state-space system model into strict feedback form. To make this transformation practicable, algebra of time-dependent functions is developed.
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...
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...
The use of active magnetic bearings (AMB) is increasing in high-speed applications, because their low friction operation allows higher rotational speeds than the traditional bearings. The inherent instability and complexity of the AMB rotor system with high nonlinearities pose challenges to the controller design. This leads to a problem of robust design. Robustness of LQG and loop-shaping H∞ controllers...
Mass customization plays a significant role for customer satisfaction and for reaching global markets in today's highly competitive changing world. However, customization brings companies extra costs because of the different tasks and scheduling and/or manufacturing issues of model variations. Companies in the manufacturing industry are in a pursuit of reducing their costs whilst increasing their...
This paper presents a new parameter optimization technique in order to parameter optimization of Linear Optimal Control (LOC) and Power System Stabilizer (PSS) in multi-machine power system. The optimized LOC consists of the advantages of conventional stabilizers. Also, the proposed LOC demonstrates excellent performance with fast response in multi-machine power systems. These features are developed...
Access to the scene irradiance is a desirable feature in many computer vision algorithms. Applications like BRDF estimation, relighting or augmented reality need measurements of the object's photometric properties and the simplest method to get them is using a camera. However, the first step necessary to achieve this goal is the computation of the function that relates scene irradiance to image intensities...
Electric power grid operation being an ever challenging scientific field is faced with a high variety of optimization problems. Since the future vision of so called smart grids causes higher complexity and new requirements to these problems, sophisticated investigation in suitable optimization algorithms is essential. Here, metaheuristic optimization strategies are proven to be suitable for high dimensional...
This paper deals with the transportation problem of minimizing the ratio of two linear functions subject to a set of linear equations and non-negativity conditions on the variables (or constraints of the classical transportation problem). In this paper, we extend the transportation problem with the linear objective function to the transportation problem with the linear fractional objective function...
A new method of path planning approach to moving robot 2 soccer in dynamic environment based on ant colony algorithm is presented in this paper. For the path planning, a method of adaptive refresh strategy is used to plan the best path, two simplified and perfect probability function and fusion function are derived for the adaptive refresh to optimize the path of obstacle 2 avoiding for Robot 2 soccer...
The front bearing of the high-pressure rotor of a gas turbine is a high-speed bearing, according to the work of the bearing, the bearing structure was designed. On the basis of determining design variables, a multi-objective optimization function was established, constrainted design variables appropriately and obtained the optimal design result by solving the function. Based on the optimization result,...
Environmental concerns on the negative impact and depletion of fossil fuels have triggered a search for alternative energy sources. Biofuels are recognised as one of the most potential renewable alternatives. In order to have a sustainable production of biofuels, a processing facility (i.e., biorefinery) that converts biomass into value-added products is needed. As the first and second generations...
Non-sinusoidal oscillation of continuous casting mold is an effective approach, which can insure high-quality at high casting speed. Based on sinusoidal oscillation waveform, a non-sinusoidal oscillation equipped with optimum mode virtues can be constructed. By employing paragraph-function, boundary condition and continuity condition, the correspondent analytical expression formulas can be calculated,...
A computationally efficient methodology is proposed to solve infinite horizon intertemporal optimization problem which appears in the areas of management and economics. Such a problem involves local instability emerging from the interaction of the discount rate in future. An algorithm based on modal space reduction and state parameterization is designed which approximates the performance functional...
The molar volume of binary systems at high pressures is an important key for production of micro and nanoparticles production. This paper compares two different equations of states of Peng-Robinson (PR) and Soave-Redlich-Kwong (SRK) for correlating and optimizing of operating conditions for 20 different binary systems to produce micro and nanoparticles. The effects of the temperature and pressure...
In this paper, the shape identification method in the Inverse Heat Conduction Problems (IHCP) is applied to estimate the shape of frost on a refrigeration tube. The inverse algorithm consists of direct, inverse analysis and gradient-based optimization method. The direct analysis used Finite Element Method (FEM) in an unstructured grid system to solve the direct heat conduction problem. The inverse...
We present a Nonlinear Model Predictive Control (NMPC) algorithm for real-time control of large-scale river networks in delta areas. The algorithm consists of an iterative, finite-horizon optimization of the system over a short-term control horizon. The underlying set of nonlinear internal process models represents relevant physical phenomena such as flow routing in the river network, and the dynamics...
We consider a two-person discrete-time dynamic game with the prespecified fixed duration. Each player maximizes her profit over the game horizon, taking decisions of the other player into account. Our goal is to find the Stackelberg equilibria for such a game. The solution approach differs with respect to the information available to individual players. While in the game with open-loop information...
Conservative flows that minimize the kinetic energy have be linked to the problem of optimal transport, a field with numerous applications in many areas of mathematics, science and engineering ranging from probability theory, fluid dynamics meteorology, oceanography to antenna design, image registration and shape analysis among others. This paper solves the problem of computing energy-minimizing flows...
The study aims at Supermarket Distribution Problem, a mathematical model is constructed and an ant colony algorithm with tabu search is put forward. The algorithm is tested in combination with Supermarket Distribution Problem. The experimental results indicated that the algorithm solves Supermarket Distribution Problem effectively with quick convergence, avoids local optimum, high precision solution...
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