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This paper investigates the sampled-data control of linear systems under uncertain sampling with the known upper bound sampling intervals. A new time-dependent Lyapunov functionals in the framework of input delay approach is employed in this paper, where the information of the actual sampling pattern can be taken into full consideration. Some sufficient conditions are derived to guarantee the closed-loop systems asymptotically stable, and one can obtain the largest sampling interval values by the derived stability results. One numerical example demonstrates the effectiveness of the obtained method and the improvement over some existing methods.

A wavelet-Galerkin method is proposed for the computer simulation of transient behaviors of electrical machines. To consider the interaction with the external components of the frond end of the machine such as power electronic devices, the proposed wavelet-Galerkin method is combined with a state space model to develop an integrated simulation approach. An iterative procedure is also proposed to solve simultaneously the two system equations. Numerical results of computer simulations on the transient behavior of a prototype PWM inverter-fed motor drive are used to validate the feasibility of the proposed method for transient behavior simulation of general electromagnetic devices.