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    Deep Learning in a System Identification Perspective

    The use of deep learning for sequence learning problems and system identification are intimately linked, and interesting opportunities exist on this cross section. The aim of this chapter is to briefly introdu...

    Thomas B. Schön, Lennart Ljung in Encyclopedia of Systems and Control (2021)

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    Reference Work Entry In depth

    Nonlinear System Identification Using Particle Filters

    Particle filters are computational methods opening up for systematic inference in nonlinear/non-Gaussian state-space models. The particle filter constitute the most popular sequential Monte Carlo (SMC) method....

    Thomas B. Schön in Encyclopedia of Systems and Control (2021)

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    Living Reference Work Entry In depth

    Deep Learning in a System Identification Perspective

    The use of deep learning for sequence learning problems and system identification are intimately linked, and interesting opportunities exist on this cross section. The aim of this chapter is to briefly introdu...

    Thomas B. Schön, Lennart Ljung in Encyclopedia of Systems and Control

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    Living Reference Work Entry In depth

    Nonlinear System Identification Using Particle Filters

    Particle filters are computational methods opening up for systematic inference in nonlinear/non-Gaussian state-space models. The particle filter constitute the most popular sequential Monte Carlo (SMC) method....

    Thomas B. Schön in Encyclopedia of Systems and Control

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    Reference Work Entry In depth

    Nonlinear System Identification Using Particle Filters

    Particle filters are computational methods opening up for systematic inference in nonlinear/non-Gaussian state-space models. The particle filters constitute the most popular sequential Monte Carlo (SMC) method...

    Thomas B. Schön in Encyclopedia of Systems and Control (2015)

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    Reference Work Entry In depth

    Situational Awareness and Road Prediction for Trajectory Control Applications

    Situational awareness is of paramount importance in all advanced driver assistance systems. Situational awareness can be split into the tasks of tracking moving vehicles and map** stationary objects in the i...

    Christian Lundquist, Thomas B. Schön in Handbook of Intelligent Vehicles (2012)