Model-based klystron linearization in the SwissFEL test facility - ...
... Model-based klystron linearization in the SwissFEL test facility - Research Collection ... Model-based klystron linearization in the SwissFEL test facility - Research Collection Header Upper ... Model-based klystron linearization in the SwissFEL test facility - Research Collection ...
Low-complexity first-order constraint linearization methods for eff...
... projected gradient and constraint linearization approach, that is, every iteration is a gradient step ... , projected onto a linearization of the constraints around the current iterate. We introduce an approach that ... Low-complexity first-order constraint linearization methods for efficient nonlinear MPC - Research ... Low-complexity first-order constraint linearization methods for efficient nonlinear MPC - Research ... Low-complexity first-order constraint linearization methods for efficient nonlinear MPC - Research ...
A Projected Gradient and Constraint Linearization Method for Nonlin...
... A Projected Gradient and Constraint Linearization Method for Nonlinear Model Predictive Control ETH ... projections onto the linearization of the nonlinear constraints around the current iterate, similar to ... A Projected Gradient and Constraint Linearization Method for Nonlinear Model Predictive Control ... A Projected Gradient and Constraint Linearization Method for Nonlinear Model Predictive Control ... A Projected Gradient and Constraint Linearization Method for Nonlinear Model Predictive Control ...
Linearization through distortion: a new facet of negative feedback ...
... Linearization through distortion: a new facet of negative feedback in signalling - Zurich Open ... Linearization through distortion: a new facet of negative feedback in signalling - Zurich Open ... Linearization through distortion: a new facet of negative feedback in signalling - Zurich Open ...
Learning biases in person-number linearization - Zurich Open Reposi...
... hierarchy of φ-features impacts the linearization of person and number affixes by (English-speaking ... hierarchy of φ-features impacts the linearization of person and number affixes by (English-speaking ... Learning biases in person-number linearization - Zurich Open Repository and Archive ... Learning biases in person-number linearization - Zurich Open Repository and Archive Header ... Learning biases in person-number linearization - Zurich Open Repository and Archive ...
http://rpg.ifi.uzh.ch./docs/ICRA18_Foehn.pptx
... Frame Problem: Linearization System States: q, System States: ω Linearization Error X y z X y z Body ... Frame World Frame Problem: Linearization System States: q, System States: ω Linearization Error X y ... Frame Problem: Linearization System States: q, System States: ω Linearization Error X y z X y z Body ... Frame World Frame Problem: Linearization System States: q, System States: ω Linearization Error X y ...
https://ethz.ch/content/dam/ethz/special-interest/itet/institute-ee...
... P L Power Systems Laboratory State-independent Linearization for AC Power Flow Model Supervisor Dr ... have been made on the linearization of the AC power model. However, it is fair to say that the existing ... P L Power Systems Laboratory State-independent Linearization for AC Power Flow Model Supervisor Dr ... have been made on the linearization of the AC power model. However, it is fair to say that the existing ...
Experience with Model Checking Linearizability | SRI Lab
... a method for checking linearizability with non-fixed linearization points. Research Projects Bibtex ... linearizability with non-fixed linearization points. Research Projects Bibtex @inproceedings{vechev2009experience ...
Local stability analysis of a stochastic evolutionary financial mar...
... through the application of recent results on the linearization and stability of random dynamical systems ... (Evstigneev et al. Proc Am Math Soc 139:1061–1072, 2011). Conditions are derived for the linearization of the ... wealth dynamics through the application of recent results on the linearization and stability of random ... linearization of the model at an equilibrium state which ensure local convergence of sample paths to this ...
https://files.sri.inf.ethz.ch/website/papers/spin09.pdf
... linearizability with non-fixed linearization points. 1 Introduction Concurrent data-structure algorithms are ... point between its invocation and its response. Such points are commonly referred to as linearization ... linearizability with non-fixed linearization points. 1 Introduction Concurrent data-structure algorithms are ... point between its invocation and its response. Such points are commonly referred to as linearization ...
