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Cascaded multilevel inverter (CMLI) is emerging as a new breed of power converter options for high-power applications. Various topologies and modulation strategies of this inverter has been proposed. In this paper, Matlab simulink of CMLI using Carrier Based Pulse Width Modulation (CBPWM) techniques is developed to get optimum design and performances. Some parameter of this Simulink model can be varied, so some interesting characteristics of the inverter can be optimized. A simulation result shows that the system is easy and modular to adjust, and optimum performances can improve.

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One of the challenges of the hand rehabilitation device is to create a smooth interaction between the device and user. The smooth interaction can be achieved by considering myoelectric signal generated by human's muscle. Therefore, the so-called myoelectric control system (MCS) has been developed since the 1940s. Various MCS's has been proposed, developed, tested, and implemented in various hand rehabilitation devices for different purposes. This article presents a review of MCS in the existing hand rehabilitation devices. The MCS can be grouped into main groups, the non-pattern recognition and pattern recognition ones. In term of implementation, it can be classified as MCS for prosthetic and exoskeleton hand. Main challenges for MCS today is the robustness issue that hampers the implementation of MCS on the clinical application.

Among the Artificial Intelligent (AI) technique, Neural Network (NN) is emerging technology that is advancing rapidly and having impact on many scientific and engineering applications. In this paper, NN apply on Asymmetric Cascaded Multilevel Inverter (ACMLI), in order to improve the controller easier to construct, simpler and better performance. To verify these goals, the system simulated based on Matlab Simulink after the NN controller build using m-file program. The simulation results show that the goals can realized.