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Yayın Design of real-time VBR traffic shaping schemes by considering the impact of both buffer overflows and deadline violations(Int Inst Informatics & Systemics, 2005) Dağ, Tamer; Stavrakakis, IoannisWhile smoothing the traffic of time sensitive applications at the user premises can reduce the losses due to buffer overflows within the network, it may have an adverse effect on the losses due to the deadline violations due to the delay introduced by the smoothing process. In this paper, these loss factors are investigated and some simple metrics that capture the potential for buffer overflow and deadline violation losses under a traffic shaping scheme are introduced. Such metrics can be useful for the design of effective traffic shaping schemes that balance the adverse effects of buff-er overflow and deadline violation losses. An example of a more effective traffic shaping scheme is presented and its performance is compared to that of some more traditional schemes.Yayın Neural network steering control algorithm for autonomous ground vehicles having signal time delay(SAGE Publications Ltd, 2024-03) Dinçmen, ErkinAn adaptive neural network–based steering control algorithm is proposed for yaw rate tracking of autonomous ground vehicles with in-vehicle signal time delay. The control system consists of two neural networks: the observer neural network and the controller neural network. The observer neural network adapts itself to the system dynamics during the training phase. Once trained, the observer neural network cooperates with the controller neural network, which constantly adapts itself during the control task. In this way, an adaptive and intelligent control structure is proposed. Through simulation studies, it has been shown that while a proportional-integral-derivative type steering controller fails to perform its control task in case of steering signal delay, the proposed control algorithm manages to adapt itself according to the control problem and achieves reference yaw rate tracking. The robustness of the control algorithm according to the signal delay magnitude has been demonstrated by simulation studies. A rigorous Lyapunov stability analysis of the control algorithm is also presented.Yayın Optimal nonlinear control of two-link flexible arm with adaptive internal model(2005) Doğan, Mustafa; İstefanopulos, YorgoThe control of highly nonlinear multi-link flexible arms is subject to uncertainties caused by backlash, payload changes and external disturbances.Therefore, adaptive and robust control of multi-link flexible arms is a challenging problem.In this paper, the internal model approach is adaptively tuned up for unknown disturbances, parallel with a robust stabilizer. The stabilizer part of the controller is optimized with a new evolutionary algorithm.
