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In this paper an approach to design controllers based on principal components analysis (PCA) models is presented. Closed-loop control can be formulated and implemented within the reduced space defined by a PCA model. This PCA controller, results in an integral controller, which can be used as an inferential controller when a measurement of a primary(More)
The human operator is, no doubt, the most complex and variable element of a Mechatronics system. On simpler manual control tasks, a linear model may be used to capture the human dynamics, however experiences on human operator response during pursuit manual tracking tasks, show that the dynamics of the human operator appear to depend on the specific task(More)
Traditionally Man-Machine Interfaces (MMI) are concerned with the ergonomic aspects of the operation, often disregarding other aspects on how humans learn and use machines. The explicit use of the operator dynamics characterization for the definition of the Human-in-the-Loop control system may allow an improved performance for manual control systems. The(More)
This paper presents an approach to process fault diagnosis (FDI) in nonlinear dynamical systems, based on a bank of neural observers. Each neural observer is tuned to a particular fault and predicts, using its embedded model, the expected values for the sensor readings. The residuals, the difference between the sensor readings and the predicted readings,(More)
Human Adaptive Mechatronics (HAM) is the research area that covers the design for assisting the human operator in improving its skills. HAM devices are capable to measure/estimate the operator's skill/dexterity, while a realtime embedded assist-controller enhances machine operation, improving the overall human-machine performance. Nowadays, the demand for(More)
Most of the mechatronics equipments and gadgets that we all nowadays rely on incorporate some kind of multidimensional human-machine systems. There is an increasing concern for improving the usability, performance, ergonomics and safety of such devices, and ultimately this will lead to the mass-production of next-generation intelligent machines, which will(More)
Nowadays there is an increasing demand for the design of assistive devices able to improve the lives of persons with disabilities. In this work, an intelligent human-machine multi-interface framework was developed, implemented and tested, to allow the replacement of the mouse by new human-computer interfaces. Non-intrusive facial tracking presents obvious(More)