The aim of this work is to present an entropy-like Lyapunov function based dynamic feedback design technique for quasi-polynomial and Lotka-Volterra systems. It is shown, that the dynamic feedback design problem is eq...
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The aim of this work is to present an entropy-like Lyapunov function based dynamic feedback design technique for quasi-polynomial and Lotka-Volterra systems. It is shown, that the dynamic feedback design problem is equivalent to the feasibility of a bilinear matrix inequality. The problem is also formulated as a control Lyapunov function based feedback design when the Lyapunov function parameters are given, the solution of this problem can be obtained by solving a linear matrix inequality. The developed method is illustrated on a simple numerical example.
In this paper, we provided an algorithm to reconstruct images with Least Squares Support Vector Machines(LS-SVM) and Simulated Annealing Particle Swarm Optimization(APSO), named SAP. This algorithm introduces simulate...
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In this paper, we provided an algorithm to reconstruct images with Least Squares Support Vector Machines(LS-SVM) and Simulated Annealing Particle Swarm Optimization(APSO), named SAP. This algorithm introduces simulated annealing ideas into PSO, adopts cooling process functions to replace the inertia weight function and construct the time variant inertia weight function featured in annealing mechanism;takes use of the APSO algorithm to search for the optimized resolution of Electrical Capacitance Tomography(ECT) reconstruction image. In order to overcome the soft field characteristics of ECT sensitivity field, we exercised some image samples of typical flow pattern with LSSVM so as to predict the capacitance error caused by the soft field characteristics and then construct the fitness function of the particle swarm optimization on basis of the capacitance error. The simulation results show that SAP algorithm is featured in quick convergence rate and higher imaging precision. Compared with Landweber algorithm, the quality of reconstruction image with SAP is significantly improved.
During tunneling process, the earth pressure in chamber must be maintained balance to the earth pressure on excavation face, or else it will cause the ground settlement. Due to the change of geology and working condit...
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This paper jointly designs the distributed control law and its communication architecture for large-scale interconnected systems. The novelty is to consider both, the robustness guaranty under topology uncertainty and...
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ISBN:
(纸本)9781479901777
This paper jointly designs the distributed control law and its communication architecture for large-scale interconnected systems. The novelty is to consider both, the robustness guaranty under topology uncertainty and the performance improvement of the overall system. The proposed framework consists of two steps. The first step aims at finding a set of stabilizing distributed control laws providing H_∞ robust performance under topology uncertainty. In the second step the performance of the interconnected system is further improved by searching for the optimal communication topology within acquired set of distributed control laws. In this step, the design of communication architecture is achieved by minimizing the H_2 norm. Additionally, a trade-off between performance improvement and communication cost is incorporated. Furthermore, to reduce computational complexity, a strategy to manipulate the existing communication links is proposed to deal with topology variation in the interconnected systems. Finally, the developed method is demonstrated via some examples.
The paper presents an alternative approach to the construction of the surgical robot trajectory adjuster by the use of MEMS type sensors: compass, gyro, and accelerometer. A miniature module with these systems can be ...
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The paper presents an alternative approach to the construction of the surgical robot trajectory adjuster by the use of MEMS type sensors: compass, gyro, and accelerometer. A miniature module with these systems can be placed directly to the surgeon's hand-or on the operator's fingers. The advantage of this adjuster is not only its low price, but also a high level of functionality associated with the extensibility regarding new software modules. An example of built-in function can be a generator of the pathway coming to the surgery field which uses spline polynomials in the representation of Catmull-Rom. In addition, the adjuster of this type is very small and easy to apply on a mobile system, like ambulance, military field ambulance etc.
In the article a new approach for control of a pressure-constrained batch reactor and a new multi-step optimization algorithm were presented. The considered batch reactor was described by both differential and algebra...
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In the article a new approach for control of a pressure-constrained batch reactor and a new multi-step optimization algorithm were presented. The considered batch reactor was described by both differential and algebraic equations. State constraints incorporate always difficulties into a mathematical model of the reactor, so a new algorithm based on a multiple shooting SQP-line search method was proposed and tested. The multiple shooting method was used not only to ensure a stability of the solution, but to divide a system into smaller subsystems, so a large-scale problem is considered. The considerations were made for a simultaneous approach, which allows to apply this algorithm to a wide class of differential-algebraic systems. The simulations were executed in Matlab environment using Wroclaw Centre for Networking and Supercomputing.
This paper presents the design of a controller which electrifies vehicles by a direct methanol fuel cell. The project has been prepared based on a 1-4 scaled model of a car. As part of this project, an electronic moth...
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Forecasting of process outages for reducing downtime and machine scrap parts have been actively pursued in the manufacturing industries to ensure that maintenance is carried out only when required. In this paper, we p...
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Forecasting of process outages for reducing downtime and machine scrap parts have been actively pursued in the manufacturing industries to ensure that maintenance is carried out only when required. In this paper, we propose a precognitive maintenance framework based on mixed time- and condition-based models to predict both wear and degradation stage of realistic engineering systems. The decision-making framework performs stage classification using support vector machines and wear estimation using time-based autoregressive moving average with exogenous inputs models. Our proposed framework is supported by mathematical rigour, and its effectiveness is evaluated with experimental results on a high-speed industrial computer numerical control milling machine for tool wear stage identification and wear estimation. [PUBLICATION ABSTRACT]
The design, characterization and control of a novel 2-DOF MEMS nanopositioner is presented, with Z-shaped electrothermal actuators being used to position the device's central stage. Whereas the more commonly-used ...
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Due to the semantic gap, the low-level features are not able to semantically represent images well. Besides, traditional semantic related image representation may not be able to cope with large inter class variations ...
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