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Articles by A. Afshar
Total Records ( 3 ) for A. Afshar
  R. Ghasemi , M.B. Menhaj and A. Afshar
  A new method to design a decentralized Fuzzy Adaptive Controller (FAC) for a class of large scale nonaffine nonlinear systems is proposed in this study. It is assumed that functions of the subsystems and their interactions are unknown. To design controller, the lyapunov function is proposed for the system and then unknown parameters of controller and system are derived based on the stability theory. The robustness against uncertainty and external disturbance, the boundedness of the estimation errors, the convergence of the output error to zero and the lyapunov stability of the closed loop system are guaranteed. To use the knowledge of the experts in FAC is another advantage of controller. Robust adaptive control has been used to avoid chattering in adaptation laws. An illustrative example is given to show the promising performance of the proposed method.
  A. Akramizadeh , A. Afshar and Mohammad-B Menhaj
  In this study, Q-learning has been extended to multiagent systems where a kind of ranking in action selection has been set among several self-interested agents. The process of learning is regarded as a sequence of situations modeled as extensive form games with perfect information. Each agent decides on its actions, in different subgames the higher level agents have decided on, based on its preferences affected by the lower level agents’ preferences. These modified Q-values, called associative Q-values, are the estimations of possible utilities gained over a subgame with respect to the lower level agents’game preferences. A kind of social convention can be addressed in extensive form games providing the ability to better deal with multiplicity in equilibrium points as well as decreasing complexity of computations with respect to normal form games. This new process is called extensive Markov game which is proved to be a kind of generalized Markov decision process. It is also provided a comprehensive review on the related concepts and definitions previously developed for normal form games. Some analytical discussions on the convergence and the computation space are also included. A numerical example affords more elaboration on the proposed method.
  R. Abbasnia , A. Afshar and E. Eshtehardian
  In this study, a new approach has been investigated in solving time-cost trade off problem, because of uncertainties which affect on activity cost. Fuzzy logic theory is employed to consider affecting uncertainties in total direct and indirect cost of a construction project. Non-dominated Sorting Genetic Algorithm (NSGA), a multi objective optimization algorithm, is applied to provide a trade-off between time and total cost. Project manager can also have different non-dominated solutions or pareto solutions which are dependent on his measure of accepted risk through applying α cuts methods in fuzzy logic theory. The proposed model leads the decision maker to select the desirable pareto front solution through acceptable value of α cut.
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