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Sliding Mode Control (SMC) technique has been used in an extensive manner in many practical applications especially in motion control systems. This paper investigates non-linear discrete time systems accommodating input delay. Firstly, input delay is removed by introducing a smith predictor that converts the original discrete system into delayed free version of the system and makes it solvable. Then,...
This paper proposes the work on the back stepping controller for the class of Discrete-time nonlinear system under amplitude & rate saturation, dead-zone constraints. A robust adaptive neural network (NN) control is developed for a general class of uncertain single-input-single output (SISO) discrete time nonlinear system with unknown system dynamics and input nonlinear ties. Here ( ) function...
This paper proposes a back stepping controller for the class of discrete-time nonlinear system in the presence of input nonlinearities like saturation and dead-zone. A robust adaptive neural network (NN) control is investigated for a general class of uncertain single-input-single-output (SISO) discrete-time nonlinear systems with unknown system dynamics and input nonlinearities i.e. combination of...
This paper proposes the adaptive back stepping controller for a class of nonlinear discrete-time systems in strict-feedback form with unknown dead-zone using neural networks. The control design is attained by introducing the dead-zone nonlinearity and using it in the controller design with back stepping technique. A dead-zone inverse is developed to compensate the dead-zone effect in nonlinear systems...
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