No abstract

No abstract

This paper presents the design of a multivariable model predictive controller using Laguerre Functions, for the purpose of demonstrating the benefits and facilities of the application this controller in multipleinput and multiple-output (MIMO) systems. This control strategy is notable for using the state space model, facilitating and generalizing the design for multivariate systems with "n" inputs and "q" outputs. This work also reports simulated tests with the Wood and Berry binary distillation column which is a MIMO benchmark system with two inputs and two outputs, also containing transport time delays and coupled outputs. Then, demonstrate the advantages of the method using the Laguerre functions and their efficiency for MIMO systems.

No abstract

The myoelectric signals are electrical potentials that represent the dynamics of muscle contraction and its study has shown to be relevant in applications in physiotherapy and rehabilitation engine for the improvement of the quality of life of amputated individuals or with some type of motor deficiency. The article proposes a neural classifier that consists of two feedforward neural networks in parallel, constructed with the aid of the MATLAB ® computational tool to identify the movement of the arm and forearm, being able to be used as a command source for myoelectric prostheses and robotic arms. Numerical simulations from real data prove the efficacy of the developed neural classifier. Resumo: Os sinais mioelétricos são potenciais elétricos que representam a dinâmica da contração muscular e seu estudo tem se mostrado relevante em aplicações na fisioterapia e engenharia de reabilitação para a melhoria da qualidade de vida de indivíduos amputados ou com algum tipo de deficiência motora. O artigo propõe um classificador neural via Extreme Learning Machine que consiste em duas redes neurais feedforward em paralelo, construído com o auxílio da ferramenta computacional MATLAB ® para identificar a intenção de movimento do braço e antebraço, podendo ser utilizado como fonte de comando para próteses mioelétricas e braços robóticos. Simulações numéricas a partir de dados reais comprovam a eficácia do classificador desenvolvido.