National Repository of Grey Literature 60 records found  previous11 - 20nextend  jump to record: Search took 0.00 seconds. 
Assesment of assistant systems influence to the process vehicle drive stability in terms of project E_VECTOORC
Machan, J. ; Nedoma, P. ; Plíhal, Jiří
The paper introduces the current state of research project related to yaw moment control, anti-lock braking and traction control through the employment of effective torque vectoring strategies for fully electric vehicles. In particular, the adoption of individually controlled electric powertrains with the aim of tuning the vehicle dynamic characteristics in steady-state and transient conditions is discussed.
E- Vectoorc Project Introduction
Machan, J. ; Nedoma, P. ; Plíhal, Jiří
This paper introduces the current state of research project related to yaw moment control, anti-lock braking and traction control through the employment of effective torque vectoring strategies for fully electric vehicles. In particular, the adoption of individually controlled electric powertrains with the aim of tuning the vehicle dynamic characteristics in steady-state and transient conditions is discussed. This subject is currently investigated within the European Union (EU) funded Seventh Framework Programme (FP7) consortium E-VECTOORC, focused on the development and experimental testing of novel control strategies. Triennial project is solved by consortium research public and private institutions/companies University of Surrey, Ilmenau University of Technology, Jaguar and Land Rover, Flanders' Drive, Inverto, Fundacion CIDAUT, Instituto Tecnológico de Aragón, ŠKODA AUTO a.s.,VIF Kompetenzzentrum - Das virtuelle Fahrzeug, Forschungsgesellschaft mbH and TRW Automotive Lucas Varity GmbH.
Advanced driver systems for increasing active safety of vehicle crew
Plíhal, Jiří ; Machan, J. ; Nedoma, P.
Utilization assistant systems is possible to find in many industrial applications. One of them is area of vehicle systems. Namely it is active safety systems, systems for authorization driver and vehicle crew, comfortable systems, systems for monitoring driver fatigue symptoms or systems for recognition driver decoy.
Prediktivní monitorování radiační situace
Nedoma, Petr ; Pecha, Petr ; Kuča, P.
Report describes proposition how predictive monitoring of radiological situation from measurements of Early Warning Network of the Czech Republic could be realised. The presented results indicate that mixtures of auto-regresive models improve predictions comparing to plain auto-regresion.
Bayesovský přístup k ověřování platnosti řízeného dynamického modelu
Kárný, Miroslav ; Nedoma, Petr ; Šmídl, Václav
Model validation is considered as an obligatory step in model learning. This paper approaches the problem of model validation using Bayesian formulation and solution. An algorithm for validation of models estimated within the practically important exponential family is presented. Performance of the algorithms is illustrated on simulated example.

National Repository of Grey Literature : 60 records found   previous11 - 20nextend  jump to record:
See also: similar author names
2 Nedoma, Pavel
25 Nedoma, Petr
4 Nedoma, Pravoslav
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