Sökning: "General Recursive System"
Visar resultat 1 - 5 av 22 avhandlingar innehållade orden General Recursive System.
1. Recursive Bayesian Estimation : Navigation and Tracking Applications
Sammanfattning : Recursive estimation deals with the problem of extracting information about parameters, or states, of a dynamical system in real time, given noisy measurements of the system output. Recursive estimation plays a central role in many applications of signal processing, system identification and automatic control. LÄS MER
2. Recursive Blocked Algorithms, Data Structures, and High-Performance Software for Solving Linear Systems and Matrix Equations
Sammanfattning : This thesis deals with the development of efficient and reliable algorithms and library software for factorizing matrices and solving matrix equations on high-performance computer systems. The architectures of today's computers consist of multiple processors, each with multiple functional units. LÄS MER
3. On Dependability in Distributed Computerized Manufacturing Systems
Sammanfattning : The concepts of dependability, fault tolerance, reliability and availability concerning computer systems had already emerged by the 1950's. These concepts were initially used in the area of computer hardware, but were then applied to the area of software and later to applications. LÄS MER
4. System identification and control for general anesthesia based on parsimonious Wiener models
Sammanfattning : The effect of anesthetics in the human body is usually described by Wiener models. The high number of patient-dependent parameters in the standard models, the poor excitatory pattern of the input signals (administered anesthetics) and the small amount of available input-output data make application of system identification strategies difficult. LÄS MER
5. Recursive black-box identification of nonlinear state-space ODE models
Sammanfattning : Nonlinear system identification methods is a topic that has been gaining interest over the last years. One reason is the many application areas in controller design and system development. However, the problem of modeling nonlinear systems is complex and finding a general method that can be used for many different applications is difficult. LÄS MER