Sökning: "adaptive control"
Visar resultat 16 - 20 av 523 avhandlingar innehållade orden adaptive control.
16. Quality-Driven Synthesis and Optimization of Embedded Control Systems
Sammanfattning : This thesis addresses several synthesis and optimization issues for embedded control systems. Examples of such systems are automotive and avionics systems in which physical processes are controlled by embedded computers through sensor and actuator interfaces. LÄS MER
17. Adaptive Finite Element Methods for Optimal Control Problems
Sammanfattning : In this thesis we study the numerical solution of optimal control problems. The problems considered consist of a system of differential equations, the state equations, which are governed by a control variable. The goal is to determine the states and controls which minimize a given cost functional. LÄS MER
18. Adaptive Finite Element Methods for Optimal Control Problems
Sammanfattning : In this thesis we study the numerical solution of optimal control problems. The problems considered consist of a systemof differential equations, the state equations, which are governed bya control variable. The goal is to determine the states and controls which minimize a given cost functional. LÄS MER
19. The Core of Aerial Robotic Workers : Generalized Modeling, Estimation, and Control
Sammanfattning : In this thesis we are going to explore what the operational core, both mathematically and algorithmically, of an Aerial Robotic Worker consists of, in order to estimate its egomotion and parameters, and adaptively control the aerial vehicle. Moreover, the aim of this thesis is to be a condensed reference for the corresponding areas of aerial robotics, in order to provide a stable and complete foundation on which one can continue research on. LÄS MER
20. On Feedforward Adaptation
Sammanfattning : Adaptation of a feedforward term in a two-degrees-of-freedom servo controller for single-input single-output systems is investigated in this thesis. The first part ofthe thesis gives a clarifying analysis of feedback-error learning in a linear and time-invariant framework. LÄS MER