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).
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
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.
Active Queue Management (AQM) applies a suitable control policy upon detecting congestion in networks. In this paper, an adaptive Proportional-Integral (PI) controller based on Artificial Neural Networks (ANN) is appl...
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Active Queue Management (AQM) applies a suitable control policy upon detecting congestion in networks. In this paper, an adaptive Proportional-Integral (PI) controller based on Artificial Neural Networks (ANN) is applied to AQM for the objective of congestion avoidance and control in middle nodes. The proposed controller is simple and can be easily implemented in high-speed routers. Neural Network PI (NNPI) dynamically adapts its parameters with respect to changes in the system. It is anticipated that this results in better response compared to linear controllers due to the nonlinear nature of NNPI. We simulated our method in ns2 and compared its performance with the conventional PI controller. The simulation results show NNPI yields better performance.
The performance of a cooperative coded system in terms of cooperation level for various values of inter-user channel quality, average SNR, and the type of detection for a (7,4) Hamming code is presented. As concluded ...
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The performance of a cooperative coded system in terms of cooperation level for various values of inter-user channel quality, average SNR, and the type of detection for a (7,4) Hamming code is presented. As concluded from simulations, for each inter-user channel quality, the optimum cooperation level is different. When the time varying part of the inter-user channel is negligible, which depends on the existing LoS component in it, the optimum cooperation level is 50% where the user and its partner have the same cooperation share and maximum diversity gain is achieved. When a soft decoder is used, for high inter-user channel quality and high SNR, the optimum cooperation level is also 50%. In low inter-user channel quality, or when hard decoding is used, the optimum cooperation level is lower than 50% and, depending on the above parameters, it can even be zero, i.e., cooperation in low values of the parameters degrades the performance
In this paper, a new structure for cooperative channels based on coded code division multiple access (CDMA) is proposed. CDMA, with the special structure of cooperative schemes can increase the sum capacity of wireles...
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In this paper, a new structure for cooperative channels based on coded code division multiple access (CDMA) is proposed. CDMA, with the special structure of cooperative schemes can increase the sum capacity of wireless channels and improve the quality of user-partner link that enhances the overall performance of the system. This structure is simulated for 4 state systematic convolutional code in single user and multiuser cases with Gold spreading sequences for user-partner link with different Rice factor and Rayleigh propagation for user-receiver and partner-receiver links. Simulations confirm the efficiency of this scheme especially in user-partner links with high Rice factor.
In this research, we are developing our understanding of how the high performance computing community develops effective parallel implementations of programs by collecting the folklore within the community. We use thi...
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Robust nonlinear controller design with constraint on the poles’ location of the linear part of closed-loop system is proposed. The design method is based on the integrator backstepping procedure and linear constrain...
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Robust nonlinear controller design with constraint on the poles’ location of the linear part of closed-loop system is proposed. The design method is based on the integrator backstepping procedure and linear constrained H ∞ for nonlinear strict-feedback systems with disturbance also in strict-feedback form. The resulted closed-loop system will be globally stable, while both local robustness and desired α- stability are achieved. An analytic example is used to compare the performance of the proposed methodology with that of the locally optimal backstepping design with no closed-loop poles constraint.
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