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In this paper a new observer-based adaptive fuzzy sliding mode (AFSM) controller is proposed for tracking control of a class of unknown multi-input multi-output (MIMO) nonlinear systems with general input matrix. The fuzzy system is used to approximate the ideal sliding mode controller. Also, a robust controller is designed to compensate the fuzzy(More)
In this paper, a new method for real time prediction of uncertain network transmission time delays and a method for closed-loop control of plants through networks are introduced. The proposed delay prediction method is based on the Multi-Layer Perceptron neural model. For the purpose of minimizing the calculations needed in a real time implementation, a(More)
This paper presents a variable selective control methodology for control of networked systems subject to transfer delay, packet-loss and packet-disordering. This approach is based upon the extension of the variable sampling period idea with a new packet based control methodology. In this way, corresponding to a range of expected time delays, a number of(More)
In this paper, a new Adaptive Fuzzy Predictive Sliding Mode Control (AFP-SMC) is presented for nonlinear systems with uncertain dynamics and unknown input delay. The control unit consists of a fuzzy inference system to approximate the ideal linearization control, together with a switching strategy to compensate for the estimation errors. Also, an adaptive(More)
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