CBSD needs to customize and compose components. Customization and composition can cause faults which are hard to detect by existing testing techniques, since components have different structures from traditional progr...
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XP/Agile education and training remains a challenge from the perspective of determining relevant content;identifying effective methods for delivery;and maintaining the focus and motivation of students. This panel brin...
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In this paper, fuzzy sliding mode controller is designed to govern the dynamics of switched reluctance motor. First, magnetic characteristics data of the motor obtained by finite element method (FEM) is utilized for a...
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In this paper, fuzzy sliding mode controller is designed to govern the dynamics of switched reluctance motor. First, magnetic characteristics data of the motor obtained by finite element method (FEM) is utilized for a fuzzy estimation. Next, fuzzy sliding mode control approach has been utilized as a nonlinear robust control algorithm to deal with a highly nonlinear system with an unknown model and a variable load torque. Simulation results show an excellent tackling the problem with an acceptable control effort. Finally, an effective commutation algorithm has been coupled with the proposed controller which can reduce the acoustic noise resources.
A relatively general framework for designing robust controllers over communication networks is presented. It has the capability of handling randomly time-varying packet transmission delays and probability of packet lo...
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A relatively general framework for designing robust controllers over communication networks is presented. It has the capability of handling randomly time-varying packet transmission delays and probability of packet losses. The presented method can also handle multiple channels of communication simultaneously. Results are based on continuous time methods that use Lyapunov-Krasovskii functionals. It is shown via an example that how state feedback controllers can be designed based on LMIs. Fixed structure output feedback controllers have been designed based on BMIs.
This paper presents a new suboptimal design for stable fuzzy controller. Using fuzzy plant model and locally optimal gains (based on LQR design), we suggest a sufficient condition for stability of the closed-loop syst...
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This paper presents a new suboptimal design for stable fuzzy controller. Using fuzzy plant model and locally optimal gains (based on LQR design), we suggest a sufficient condition for stability of the closed-loop system that can be expressed as Linear Matrix Inequaloities. Provided that we have an accurate fuzzy model of the plant, the real system is globally stabel too. This new approach facilitates the design process much yielding sub-optimal global design. Simulation results show that even if we have not an exact fuzzsy model representation, this method increases attraction domain of the system comparing with conventional linear optimal contrllers.
The problem of designing a linear controller for nonlinear polynomial systems that results the largest domain of attraction is considered. Moreover, using the proposed algorithm, the shape of the approximation of doma...
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The problem of designing a linear controller for nonlinear polynomial systems that results the largest domain of attraction is considered. Moreover, using the proposed algorithm, the shape of the approximation of domain of attraction can be defined, due to importance and change of different states of system. To compute the estimate of the region of attraction, a Lyapunov function has been used. The designing problem involves solving a double nonconvex optimization problem, which can be changed to a semiconvex optimization problem, via linear matrix inequalities (LMI).
A game is a decision making situation in which each player attempts to act in such a way that the game's circumstances get close to what desirable for him. To reach this goal, a player needs to have a suitable est...
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A game is a decision making situation in which each player attempts to act in such a way that the game's circumstances get close to what desirable for him. To reach this goal, a player needs to have a suitable estimation of the other players' decisions. In this paper, we propose a fuzzy approach by which a player can attain an estimation of the other players' actions and pursue a strategy which maximizes its performance. Finally, the results of applying the proposed approach to the well-known "prisoner's dilemma" problem are brought to show the effectiveness of the method
In this paper we propose a reinforcement learning (RL) algorithm for packet routing in computer networks with emphasis on different traffic conditions. It is shown that routing with an RL approach, considering the tra...
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In this paper we propose a reinforcement learning (RL) algorithm for packet routing in computer networks with emphasis on different traffic conditions. It is shown that routing with an RL approach, considering the traffic, can result in shorter delivery time and less congestion. A simple, but rational simulation of a computer network has also been tested and the suggested algorithm has been compared with other conventional ones. At the end, it is concluded that the suggested algorithm can perform packet routing efficiently with advantage of considering the dynamics in a real network
This paper addresses the design of state feedback H/sub /spl infin//, robust controller that satisfies additional constraints on closed-loop poles location. Desired closed-loop poles location is considered to be a cli...
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This paper addresses the design of state feedback H/sub /spl infin//, robust controller that satisfies additional constraints on closed-loop poles location. Desired closed-loop poles location is considered to be a clipped sector, corresponding to some performance specifications such as suitable settling time and overshoot. In order to solve the H/sub /spl infin// optimization problem with two Lyapunov constraints, the Lagrange multiplier is used. It is shown that the appropriate controller is characterized by three coupled algebraic Riccati equations. The validity and applicability of this approach are illustrated by two benchmark examples and the results are compared with those of the conventional H/sub /spl infin// control problem and related works.
Game theory deals with decision-making processes involving two or more parties with partly or completely conflicting interests. The players involved in the game usually make their decisions under conditions of risk or...
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Game theory deals with decision-making processes involving two or more parties with partly or completely conflicting interests. The players involved in the game usually make their decisions under conditions of risk or uncertainty. In this paper, an idea of nondeterministic payoffs is proposed and optimization is done in a more realistic fuzzy environment, helping each player describe his goal functions by using the linguistic variables. Since fuzzy numbers represent uncertain numeric values, their substitution for traditional crisp payoff values is described and their application is surveyed for a specific sample of contributive games - the game of civic duty. A closed formulation is developed for a vast general class of vague payoffs
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