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In this work, a neural network (NN) based adaptive controller is developed and implemented for precise temperature control of a benchmark thermal system in cold climate. The newly devised NN controller is capable of overcoming the limitations of model dependent conventional fixed gain temperature controllers. The proposed NN controller is designed using the combination of off-line and on-line trainings...
This paper reviews a theory of robot motion planning and elaborates an application in which neural networks are used to take decisions regarding the orientation of a robot in its search for a destination target.The Simulink is used as a tool to implement the concepts. The neural networks allow obtaining a model of inverse dynamic, indeed the mathematical model of robot. The test was realized with...
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