This paper is a study of the optimization of a configuration and reconfiguration problem applied to the navy ship power system presenting a redundant power distribution layout. The multiagent method has been applied i...
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This paper is a study of the optimization of a configuration and reconfiguration problem applied to the navy ship power system presenting a redundant power distribution layout. The multiagent method has been applied in order to make the power system converge towards its optimal configuration in its initial start up and during normal operation when a reconfiguration is required. The optimal process has been achieved by the agents and the simulations have been conducted with different cases of operation mode of the navy ship. The optimal configurations were derived through a program written in C++ for the agents and the results confirm the feasibility of applying the multiagent method for optimizing the navy ship power system
This paper is concerned with the problem of H ∞ model reference control for networked feedback systems. The physical plant and the controller are, respectively, in continuous time and discrete time. By using a sampl...
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ISBN:
(纸本)1424401704
This paper is concerned with the problem of H ∞ model reference control for networked feedback systems. The physical plant and the controller are, respectively, in continuous time and discrete time. By using a sampled-data approach, a new model based on the updating instants of the zeroth-order hold (ZOH) is formulated, and a linear matrix inequality (LMI) based procedure is proposed for designing state-feedback controllers, which guarantee the output of the closed-loop networked control system tracks the output of a given reference model well in the H ∞ sense. An illustrative example is presented to show the usefulness and effectiveness of the proposed H ∞ output tracking design
In this paper, we show the relationship between two algorithms and optimization problems that are the subject of recent attention in the networking and control literature. First, we obtain some results on averaging al...
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ISBN:
(纸本)1424401704;9781424401703
In this paper, we show the relationship between two algorithms and optimization problems that are the subject of recent attention in the networking and control literature. First, we obtain some results on averaging algorithms over acyclic digraphs with fixed and controlled-switching topology. Second, we discuss continuous and discrete coverage control laws. Further, we show how discrete coverage control laws can be cast as averaging algorithms over discrete Voronoi graphs
As an emerging technology, many researches have been focused on enhancing sensor networks in the recent years. For improving the quality of service, researchers have concentrated on the notion of mobility as a means t...
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As an emerging technology, many researches have been focused on enhancing sensor networks in the recent years. For improving the quality of service, researchers have concentrated on the notion of mobility as a means to change the network topology. Considering each node as an intelligent agent, and using the concepts of the theory of auctions, this paper introduces a novel game theoretical approach to the sensor management problem. By obviating unnecessary communication among the nodes, and offering task changing capability to them the new method addresses more network compatibility to uncertain tasks
In this paper, the problems of stability and stabilization of switched linear discrete-time systems with polytopic uncertainties are investigated. A switched parameter-dependent quadratic Lyapunov function is proposed...
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In this paper, the problems of stability and stabilization of switched linear discrete-time systems with polytopic uncertainties are investigated. A switched parameter-dependent quadratic Lyapunov function is proposed, by which the stability conditions are derived and formulated in terms of a set of linear matrix inequalities. Based on the stability result, control synthesis is then considered and a stabilizing state-feedback controller is obtained by solving a convex optimization problem subject to linear matrix inequalities. Both mode-dependent and parameter-dependent ideas are used in stability analysis and controller design for the underlying systems. Numerical examples are given to show the less conservativeness and the potential of the obtained theoretic results
This paper presents for the first time the real-time implementation of an emotional controller for interior permanent magnet synchronous motor (IPMSM) drives. The proposed novel controller is called brain emotional le...
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This paper presents for the first time the real-time implementation of an emotional controller for interior permanent magnet synchronous motor (IPMSM) drives. The proposed novel controller is called brain emotional learning based intelligent controller (BELBIC). The utilization of BELBIC is based on emotion processing mechanism in brain, and is essentially an action, which is based on sensory inputs and emotional cues. The emotional learning occurs mainly in the amygdala. The amygdala is mathematically modeled, and the BELBIC controller is introduced. This type of controller is insensitive to noise and variance of the parameters. The controller is successfully implemented in real-time using a digital signal processor board ds1102 for a laboratory 1-hp IPMSM. The results show superior control characteristics especially very fast response, simple implementation and robustness with respect to disturbances and manufacturing imperfections. The proposed method enables the designer to shape the response in accordance with the multiple objectives of choices
Brain emotional learning based intelligent controller, BELBIC, has been used for model free adaptive control of several complex industrial plants. It has proven to be very effective controller with light computational...
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Brain emotional learning based intelligent controller, BELBIC, has been used for model free adaptive control of several complex industrial plants. It has proven to be very effective controller with light computational load. The aim of this research is to present a general purpose toolbox implementing BELBIC as well as examples of its performance. The user can choose to utilize default configurations or to customize specific configuration to the given plant
This paper presents the problems regarding to the behaviour of current distribution among paralleled thyristors. They are addressed with the experiment of high current transformer-rectifiers. The system is further imp...
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This paper presents the problems regarding to the behaviour of current distribution among paralleled thyristors. They are addressed with the experiment of high current transformer-rectifiers. The system is further implemented in the Power System Blockset, now SimPowerSystem, in MAT-LAB/Simulink. The Fourier-series-based model is employed to study both the system performance and the device internal behaviour. The experiment and simulation reported in this paper offer valuable insight into the parallel operation of thyristors
This paper proposes a new model for time-delay systems, which contains multiple successive delay components in the state and has important applications in remote control and network based control. New results on stabi...
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This paper proposes a new model for time-delay systems, which contains multiple successive delay components in the state and has important applications in remote control and network based control. New results on stability and H ∞ performance are obtained for systems with two successive delay components. The second part of this paper applies the proposed new model to network based control, which has emerged as a topic of significant interest in the control community. A sampled-data networked control system with simultaneous consideration of network induced delays, data packet dropouts and measurement quantization is modelled as a time-delay system with two successive delay components in the state and, the problem of network based H ∞ control is solved accordingly.
This paper discusses a novel step by step path planning method which uses genetic algorithm (GA) to find the feasible and suitable paths in an environment with static and dynamic obstacles. To increase the speed of ca...
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This paper discusses a novel step by step path planning method which uses genetic algorithm (GA) to find the feasible and suitable paths in an environment with static and dynamic obstacles. To increase the speed of calculations, dimension of the search space is reduced by developing a new method to represent the environment. This representation method is based on detecting the corners of circumferential polygons of all obstacles as representatives of the environment. Each individual (or path) is a subsequence of these points including the start and destination points as the first and last genes in the sequence. Thus, each individual will be of a variable length. If an individual represents a path which passes over some obstacles, it will be unfeasible; otherwise it represents a feasible path. To produce new generations, four evolutionary operators are defined. The goal is to find a short feasible path, which clearly is not unique. In addition, using a step by step path planning approach and updating the representation of the environment at each step will result in a robust performance of the algorithm in two dimensional (2D) static and dynamic environments.
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