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In this paper a method for time series prediction of chaotic systems is developed in order to increase the time horizon of prediction. Also it is assumed that the type of chaotic time series is known. In this investigation, the parameters of the chaotic system are estimated by minimizing the summation of absolute value of errors using Genetic Algorithm (GA). The results show that it is impossible...
A control oriented model for an HVAC system is derived in this paper. The HVAC system consists of a room and a hydronic radiator with a temperature regulating valve (TRV) which has a step motor to adjust the valve opening. The heating system and the room are simulated as a unit entity for thermal analysis and controller design. A discrete-element model with interconnected small scaled elements is...
Radial Basis Function Networks (RBFNs) are widely used in curve-fitting problems and nonlinear dynamical systems modelling. Using the gradient of the function during the training phase leads to a smooth approximation of both the function itself, and its derivatives. The knowledge about gradient of the function in some identification and control tasks is desired, particularly when the stability and...
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