Brain Computer Interface (BCI) provides a direct communication channel from brain to peripheral equipment. Common Spatial Patterns (CSP) is wildly used to extract features for electroencephalogram (EEG). However, basi...
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Approximate Entropy (ApEn) is a regularity statistic that quantifies the unpredictability of fluctuations in a time series and can classify complex systems. This study, ApEn is used to extract features from motor imag...
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This paper presents the development of paraplegic joint model using Artificial Neural Network (ANN). A series of experiments using Functional Electrical Stimulation (FES) with different stimulation frequencies, pulse ...
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This paper proposes a model to quantify the reliability of web services. Based on their structures, web services can be classified into the following two kinds: atomic web service which calls no other web services and...
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A recently introduced new class of multi-agent transportation planning is considered. Several agents have to cooperate in order to transfer a passive agent from its initial configuration to a goal configuration. Docki...
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This paper focuses on the development of a tool to design nonlinear controllers automatically. This is done by means of an automatic stochastic search: a coevolutive algorithm, inspired by the competitive and symbioti...
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This paper presents finite state control (FSC) of paraplegic walking with wheel walker using functional electrical stimulation (FES) with spring brake orthosis (SBO). The work is a first effort towards restoring natur...
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The actual wind turbines are provided with adjustable speed generators, like the double feed induction generator, that are capable to work in variable speed operations. One of the main advantage of adjustable speed ge...
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The paper will present the implementation of numeric systems for process control and it will explain the problems that arise from the independent way of development of the actual control tasks - oriented to control th...
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The paper will present the implementation of numeric systems for process control and it will explain the problems that arise from the independent way of development of the actual control tasks - oriented to control theory away from the real time system- oriented to operating system theory. It will then be described the effects o running such control on an on-the-shelf resources deprived hardware environment, and the way these can be surpassed using co-designed control theory.
This paper focuses on the development of a tool to design nonlinear controllers automatically. This is done by means of an automatic stochastic search: a coevolutive algorithm, inspired by the competitive and symbioti...
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This paper focuses on the development of a tool to design nonlinear controllers automatically. This is done by means of an automatic stochastic search: a coevolutive algorithm, inspired by the competitive and symbiotic relationships between certain species in the Nature that evolve in parallel. The algorithm developed is used to look for a law that enable control of a classic system: the inverted pendulum. One of the two species that coevolve is made up of a set of control laws (each of them is a solution). The other one consist of initial conditions (that is a population of problems). The search space of the problem comprises all the possible solutions to it. The populations of the two species that evolve are processed by two different kinds of evolutive algorithms, a genetic algorithm and an algorithm that implements the Genetic Programming paradigm.
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