Sökning: "Nonlinear System Identification"
Visar resultat 16 - 20 av 98 avhandlingar innehållade orden Nonlinear System Identification.
16. Multivariable Frequency-Domain Identification of Industrial Robots
Sammanfattning : Industrirobotar är idag en väsentlig del i tillverkningsindustrin där de bland annat används för att minska kostnader, öka produktivitet och kvalitet och ersätta människor i farliga eller slitsamma uppgifter. Höga krav på noggrannhet och snabbhet hos robotens rörelser innebär också höga krav på de matematiska modeller som ligger till grund för robotens styrsystem. LÄS MER
17. Modeling, Model Validation and Uncertainty Identification for Power System Analysis
Sammanfattning : It is widely accepted that correct system modeling and identification are among the most important issues power system operators face when managing instability and post-contingency scenarios. The latter is usually performed involving special computational tools that allow the operator to forecast, prevent system failure and take appropriate actions according to protocols for different contingency cases in the system. LÄS MER
18. On computational methods for nonlinear estimation
Sammanfattning : The Bayesian approach provides a rather powerful framework for handling nonlinear, as well as linear, estimation problems. We can in fact pose a general solution to the nonlinear estimation problem. However, in the general case there does not exist any closed-form solution and we are forced to use approximate techniques. LÄS MER
19. Modeling and identification of nonlinear and impulsive systems
Sammanfattning : Mathematical modeling of dynamical systems plays a central roll in science and engineering. This thesis is concerned with the process of finding a mathematical model, and it is divided into two parts - one that concentrates on nonlinear system identification and another one where an impulsive model of testosterone regulation is constructed and analyzed. LÄS MER
20. Some Results on Linear Models of Nonlinear Systems
Sammanfattning : Linear time-invariant approximations of nonlinear systems are used in many a pplications. Such approximations can be obtained in many ways. LÄS MER