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Showing 1 to 4 of 4 for “"non-linear system identification"”.

  1. Implementation of gaussian process models for non-linear system identification

    … the use of Gaussian Process (GP) models for the identification of nonlinear dynamic systems. The Gaussian Process model is a non-parametric approach to system identification where the model of the underlying system is to be identified through the application of Bayesian analysis to empirical …

    glasgow Repository record for Implementation of gaussian process models for non-linear system identification (opens in a new tab)

  2. Multiobjective genetic algorithms with application to control engineering problems.

    … optimizers, as well as problems involving non-numeric and mixed-type variables. In addition, they exhibit a large degree of parallelism, making it possible to effectively exploit the computing power made available through parallel processing. Despite their early recognized potential for …

    whiterose Repository record for Multiobjective genetic algorithms with application to control engineering problems. (opens in a new tab)

  3. The dynamics of ultrafast motion in biological and bio-inspired systems: the case study of click beetles

    … accelerations using complex latch and spring systems to overcome their muscle force-speed trade-offs and amplify mechanical power output. This dissertation introduces a multi-scale analytical and experimental framework to investigate how extreme accelerations are generated in biological …

    uiuc Repository record for The dynamics of ultrafast motion in biological and bio-inspired systems: the case study of click beetles (opens in a new tab)

  4. Tools for Autonomous Process Control

    … higher automation level in process control systems. The purpose of a plant is to manufacture some product at a high production rate with a consistent quality, while minimizing the use of resources in terms of energy consumption, raw material and labor. With a higher degree of autonomy in the …

    lund Repository record for Tools for Autonomous Process Control (opens in a new tab)