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In this paper, a new multi-layer neural network (MNN) based system identification scheme in discrete-time is proposed for a general class of nonlinear discrete-time systems with guaranteed asymptotic convergence of the identification error. Then, a MNN based direct adaptive MNN controller design is introduced for a different class of nonlinear discrete-time systems. The unique aspect of the proposed...
Control of a satellite system with an electrodynamic tether as actuator is a time-periodic and underactuated control problem. This paper considers the tethered satellite in a Hamiltonian framework and determines a port-controlled Hamiltonian formulation that adequately describes the nonlinear dynamical system. Based on this model, a nonlinear controller id designed that will make the system asymptotically...
In this work a new method to analyze the stability of metro lines with respect to a previously constructed time schedule is presented. For this purpose, metro lines are modelled using a nonlinear real time discrete space state representation and then the Lyapunov-based stability analysis is applied considering time delays of trains as disturbances. As a result a new set of indexes which relate time...
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