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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...
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...
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...
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...
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...
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...
Anomaly diagnostics and fault classification with prognostics is an active research topic, and real-time detection of anomalies and their classification has remained a critical challenge to be overcome. We developed an innovative, model-driven anomaly diagnostic and fault characterization system for electromechanical actuator (EMA) systems to mitigate catastrophic failures. The efficacy of the Model-based...
This paper presents a novel approach for image completion using global optimization, which combines with patch sparsity-based priority and dynamic structural label pruning. In our approach, the completion problem is described by discrete Markov Random Field model with a well defined objective function, and can be solved by adopting belief propagation. Two important extensions are proposed in the paper:...
In this paper, we propose two fast codebook generation techniques with iterative clustering for Vector Quantization (VQ). The techniques proposed in this paper are, Ordered Pairwise Nearest Neighbor (OPNN) and Ordered Pairwise Nearest Neighbor with Multiple Merging (OPNNMM). The conventional PNN technique has been improved using the proposed techniques to reduce the time taken in searching the nearest...
The leakage and diffusion accident of inflammable and explosive toxic gas has become a serious problem in the field of environment and security. Based on the optimized three-dimensional finite element model (FEM3) and the actual condition in complex and sealed space, a three-dimensional simulation system is developed to simulate the dynamic process of leakage and diffusion of gas in complex and sealed...
Probability intervals and random sets are special cases of interval-valued probability measures. In this paper, we analyze the relationship between a probability interval and a random set. We provide a construction of a random set for a given probability interval. This construction is easier to apply than an existence construction.
The complexity of blast furnace iron-making process control can be interpreted from two aspects. From the aspect of technique, it is composed of status diagnosis of blast furnace, predictive control of silicon content and an organic combination of them. From the aspect of control theory, it is no longer the traditional direct feedback control, but intelligent control based on inference and optimization...
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