Sökning: "linear parameter varying"
Visar resultat 1 - 5 av 48 avhandlingar innehållade orden linear parameter varying.
1. Linear Parameter-Varying Systems - an approach to gain scheduling
Sammanfattning : In recent years the interest for gain scheduling methods has increased. Gain scheduling is a collection of methods that try to tackle the challenging problem of nonlinear control in a divide and conquer manner. The use of local linear system theory to obtain a non-local controller is the fundament of the gain scheduling methods. LÄS MER
2. On Parameter Estimation and Control of Time-Varying Stochastic Systems
Sammanfattning : This thesis is about parameter estimation and control of time-varying stochastic systems. It can be divided into two parts. The first part deals with an estimation algorithm commonly used when estimating parameters in time-varying stochastic systems, the Recursive Least Squares (RLS) algorithm with forgetting factor. LÄS MER
3. Control of Constrained Dynamical Systems with Performance Guarantees: With Application to Vehicle motion Control
Sammanfattning : In control engineering, models of the system are commonly used for controller design. A standard control design problem consists of steering the given system output (or states) towards a predefined reference. Such a problem can be solved by employing feedback control strategies. LÄS MER
4. Dynamic Train-Track Interaction: Linear and Non-Linear Track Models with Property Scatter
Sammanfattning : A numerical method was developed to investigate the vertical dynamic behaviour of a railway track subjected to the loading of a moving train. The numerical simulations are carried out in the time-domain with what is known as a moving mass model. LÄS MER
5. A Nonlinear Optimization Approach to H2-Optimal Modeling and Control
Sammanfattning : Mathematical models of physical systems are pervasive in engineering. These models can be used to analyze properties of the system, to simulate the system, or synthesize controllers. However, many of these models are too complex or too large for standard analysis and synthesis methods to be applicable. LÄS MER