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Position and force control are two critical aspects of prosthetic control. Surface electromyographic (sEMG) signals can be used for skeletal muscle force estimation. In this paper, skeletal muscle is considered as a system and System Identification (SI) is used to model sEMG and skeletal muscle force. The recorded sEMG signal is filtered utilizing optimized nonlinear Half-Gaussian Bayesian filter,...
The usability of model-aided decision relies on intellectualized level of model selection. An algorithm of Model selection based sample data is proposed in the paper. The meta-models are classified by characters of the sample data, and the assembled models are built as tree format. The genetic operations are performed under several restrictions to provide the model selection scheme. Its process hardly...
Hysteresis is a specific character of a wide range of physical systems and devices, such as electromagnetic fields, mechanical stress-strain elements, and electronic relay circuits. The extended Bouc-Wen model is one of the most widely accepted phenomenological models of hysteresis in mechanics. However the multi parameters have plagued its further application because the capability of computer and...
Focusing on the dynamic model parameter identification problem, this paper proposed an adaptive linear-time-domain system identification method for the micro unmanned helicopter robot. Based on the flash memory in the Micro Guide Navigation Control (MGNC), system recorded the flight data sequences regarding the input signal for servos and output signals for attitude and velocity information. Through...
Change points in time series appear due to variations in the data generation process. We consider the problem of modeling time series generated by dynamic processes, and we focus on finding the change points using a specially tailored genetic algorithm. The algorithm employs a new representation, described in detail in the paper. Suitable genetic operators are also defined and explained. The results...
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